Examination of the Nile River - 652 Words

A brief examination of the influence of the Nile river on ancient Egypt shows that geography and environment play significant roles in the development and interaction of the societies found within them. The ancient historian Herodotus even referred to Egypt as the gift of the Nile (Hanna). This is true at the most fundamental level: without the Nile most of Egypt would be a nearly uninhabitable desert. However, this claim is true on many more levels as well. Water was not the only gift that the Nile brought. Its yearly floods also spread new nutrient-rich soil from the river bottom and further upriver, and washed away depleted topsoil. These floods make the region surrounding the Nile especially fertile. The civilization that this fertile land allowed to flourish then developed irrigation systems that made even more of the valley fertile. This proved to be a tipping point, allowing the ancient Egyptian civilization to produce crop surpluses. These surpluses gave Egypt a powerful econ omy, which drove growth in a number of other areas. They allowed the upper classes to educate and maintain a class of scribes, clerics, and engineers. This class created writing, and the engineering needed for their irrigation and construction projects. The surplus also allowed Egypt to provide other countries with both necessary staples like wheat and luxuries like papyrus. This gave Egypt a pre-eminent position amongst the other nations of its time. The crop surpluses let Egypt train aShow MoreRelatedThe Egyptian, Assyrian, And Persian Empires1580 Words   |  7 Pagesthe banks of the Nile and the sun in providing Egypt’s thriving welfare. The sun god took different forms and names, depending on his specific role. For example, the sun god was worshiped as Atum in human form, but also as Re who had a human body and head of a falcon. The land and river gods included Isis and Osiris. A well-known Egyptian myth told the conflict between Osiris and his evil brother Seth, who ki lled him, cut his body into 14 pieces, and threw away the parts into the Nile. Isis, Osiris’Read MoreAncient Egypt And Ancient Egyptian Culture2322 Words   |  10 PagesLevant and Mesopotamia is indeed optimistic. An examination of the environment of ancient Egypt affected daily life as this would in turn influence the culture, and whether or not this played a role in making ancient Egyptian life and culture more optimistic. It is also essential that the ancient Egyptian myths and religion be explored to determine whether or not it contained the same optimistic outlook as the culture had. Furthermore, an examination into ancient Egyptian literature and poetry andRead MoreEgypt : The Egyptian Civilization920 Words   |  4 Pagesimportant or significant to the rise of Egypt. Egypt is known to be one of the longest lasted civilization in the world. It is located in the Nile Valley, in the north east of Africa. Its origins lay in several chiefdoms in Upper Egypt, at Abydos and Hierakonpolis. The Nile River was far the most significant aspect of Egypt because the flooding of the Nile shape Egyptian civilization tremendously. It also produced the first government to rule an entire nation. Egypt covered an entire country thousandsRead MoreThe Is The Limitless Multiplication Of Unnecessary Necessities By Mark Twain Essay1558 Words   |  7 Pages in modern-day Turkey (Middle East). Population of city may have been as high as 10,000. A channel was cut from a nearby river to irrigate farmland. A major problem for early societies was diseases humans could catch from animals. Over time, humans became immune to diseases pass from domesticated animals. Most early civilizations developed near a major source of water. Rivers and lakes provided water for crop s, irrigation, and later, transportation. Division of labor evolved, allowing workers toRead MoreThe Importance Of The Ancient Egyptian Pyramids In Giza1392 Words   |  6 Pagesimportant to the Egyptians. This begs the question, why did Khufu build such great pyramid? Was it just a symbol of power or was it also a way to reach the Gods in death? While no one can be sure how and why exactly the pyramids were built, through the examination of the theory given by Peter Hodges, as the lever theory, and of Mark Lehner, with the ramp theory, it is seeming to be more evident that Khufu’s Great Pyramid in Giza was built using extensive manpower and the use of ramps. The people of EgyptRead MoreData On The Spore Of Myxobolus Dermatobius Ishii1566 Words   |  7 PagesUltrastructural data on the spore of Myxobolus dermatobius Ishii, 1915 (Myxosporea: Myxobolidae) infecting eye of Nile-tilapia (Oreochromis niloticus) in Egypt NOSSEUR M . EL-SAYED Department of Parasitology , Faculty of Veterinary Medicine, Zagazig University, Egypt. E- mail:nosseur@gmail.com Abstract A total of 1000 cultured Nile-tilapia (Oreochromis niloticus) were collected from different governmental and private fish farms and examined for detection of myxosporean parasites infectionRead MoreFrom the Great Wall to the Pyramids1154 Words   |  5 Pagessimilarities between the two cultures as is highlighted when examining the Analects and The Book of the Dead. On the surface, the social behavior and values emphasized in the Analects and The Book of the Dead resemble one another; however, upon closer examination it becomes apparent that the origin and purpose behind the actions different greatly. The purpose of the two literatures contrast due to the lifestyles and beliefs that were held during each of the corresponding civilizations. Though the textsRead MoreAncient Sumer vs, Ancient Egypt1584 Words   |  7 Pages (The Babylonian Account of the Flood, HD #3). The Egyptians had a different attitude toward the annual flooding of the River Nile. They realized that the flooding made their land more fertile for farming, which is how the Egyptians grew their food to keep them alive. The Egyptians believed that the gods rewarded them by flooding the Nile each year. They thought that the Nile was The bringer of all food, rich in provisions, creator of all food, lord of majesty, sweet of fragrance. (SPV 21) AnotherRead MoreThe Population Of Egypts Capital1289 Words   |  6 PagesEGYPT Demographics The population of Egypt’s capital, Cairo, consists of an estimated 86,730,000 citizens. Arabic is the official language of this Islamic religion region. The banks of the Nile is where most of the citizens of Egypt choose to reside; with an estimate of five thousand persons per square mile. The remaining two-fifths of Egypt population are urbanized. The trend of the younger generation’s accompanying these areas range in ages fifteen to thirty years, with one third under fifteenRead MoreThe Relationship Between Mythology And History : Ancient Mesopotamia And Egypt1125 Words   |  5 Pagesfound worthy are further tested and allowed entrance into the afterlife if successful . In addition to surviving written accounts such as The Book of the Dead, archeological evidence also contributes to our knowledge of religious practices by examination of the physical remains of Egyptian artifacts . One example is the remnants of a commercial district that once existed in the Egypt’s capital, Memphis, which funded the religious institutions and monument construction during the Old Kingdom . Archeology

Boon or Bane Free Essays

string(370) " probability sampling or conducting a census that used the Web as the only response mode; \(2\) Surveys in which respondents were allowed to choose one of several response modes, including at least one Internet-based response mode; and, \(3\) Surveys in which respondents were assigned one of several response modes, including at least one Internet-based response mode\." Advantages and Disadvantages of Internet Research Surveys: Evidence from the Literature Ronald D. Fricker, Jr. and Matthias Schonlau RAND E-mail and Web surveys have been the subject of much hyperbole about their capabilities as well as some criticism about their limitations. We will write a custom essay sample on Boon or Bane or any similar topic only for you Order Now In this report we examine what is and is not known about the use of the Internet for surveying. Specifically, we consider evidence found in the literature regarding response rates, timeliness, data quality and cost. In light of this evidence, we evaluate popular claims that Internet-based surveys can be conducted faster, better, cheaper, and/or easier than surveys conducted via conventional modes. We find that the reality of cost and speed often does not live up to the hype. Nonetheless, it is possible to implement Internet-based surveys in ways that are effective and cost-efficient. We conclude that the Internet will continue to grow in importance for conducting certain types of research surveys. INTRODUCTION With the advent of the World Wide Web (Web or WWW) and electronic mail (email), the Internet has opened up new vistas in surveying. Rather than mailing a paper survey, a respondent can now be given a hyperlink to a Web site containing the survey. Or, in an e-mail survey, a questionnaire is sent to a respondent via e-mail, possibly as an attachment. As either an alternative or an adjunct to conventional survey modes (e. g. , the telephone, mail, and face-to-face interviewing) Internet-based surveys offer unique new capabilities. For example, a Web survey can relatively simply incorporate multi-media graphics and sound into the survey instrument. Similarly, other features that were once restricted to more expensive interviewer-assisted modes, such as automatic branching and real-time randomization of survey questions and/or answers, can be incorporated into self-administered Web (and some e-mail) surveys. However, not unlike when phone and mail surveys were first introduced, concerns exist about whether these Internet-based surveys are scientifically valid and how they are best conducted. In the late 1980s and early 1990s, prior to the widespread availability of the Web, e-mail was first explored as a survey mode. As with the Web, e-mail offers the possibility of nearly instantaneous transmission of surveys to recipients while avoiding any postal costs. Early e-mail were primarily ASCII text-based, with rudimentary formatting at best, which tended to limit their length and scope. The only significant advantage they offered over paper was a potential decrease in delivery and response Field Methods, Vol. 14 No. 4, 2002 347-367. 1 imes, though some also hypothesized that the novelty of the new medium might enhance response rates (Parker, 1992; Zhang, 2000). The Web started to become widely available in the early to mid-1990s and quickly supplanted e-mail as the Internet survey medium of choice because it was easy to implement, it provided an improved interface with the respondent, and it offered the possibility of multimedia and interactive surveys containing audio and v ideo. For convenience samples, the Web also offered a way around the necessity of having to know respondents’ e-mail addresses. As a result, â€Å"quick polls† and other types of entertainment surveys have become increasingly popular and widespread on the Web. Internet-based surveys are now in vogue—those conducted via the Web in particular—because of three assumptions: (a) Internet-based surveys are much cheaper to conduct; (b) Internet-based surveys are faster; and, (c) when combined with other survey modes, Internet-based surveys yield higher response rates than conventional survey modes by themselves. Yet, does the evidence in the literature confirm these assumptions? Are Internet-based surveys faster, better, cheaper, and/or easier than surveys conducted via conventional modes? What can we conclude about the strengths and current limitations of Internet-based surveying from the facts in the literature? In this report we synthesize the literature about the use of the Internet (e-mail and the Web) in the survey process. Other accounts of the literature include Schonlau, Fricker and Elliott (2002), Couper (2000), Dillman (2000), and Tuten et al. (2002). In addition, an extensive source of Web survey literature can be found on the Web at www. ebsm. org. LITERATURE SUMMARY FOR INTERNET-BASED SURVEYS In this section we summarize key characteristics of Internet-based surveys—that is, surveys using the Web and e-mail as a response mode—as documented in the literature. We employed a professional librarian to conduct a thorough literature search in the Social Science Database and the Conference Paper Index database. The Social Science Databas e indexes more than 1,500 of the most important worldwide social sciences journals since 1972. Additional articles relevant to the social sciences are also incorporated from over 2,400 journals in the natural, physical, and biomedical sciences. The Conference Paper Index provides access to records of the more than 100,000 scientific and technical papers (since 1973) presented at over 1,000 major regional, national, and international meetings each year. Field Methods, Vol. 14 No. 4, 2002 347-367. 2 The literature search yielded 57 papers that were substantively interesting and informative. Here we report on a subset of those articles of direct relevance to this discussion. (Appendix B of Schonlau et al. , 2002, lists 52 papers and we have augmented the list here with an additional five that have appeared since Schonlau et al. was published. ) We consider the following key characteristics of surveys: (1) response rate, (2) timeliness, (3) data quality, and (4) cost. We compare what has been published in the literature about Internet-based surveys to a natural conventional survey alternative: mail. While no survey mode is going to be optimal in all of these areas, we chose mail because both mail and Internet-based surveys are self-administered, mail surveys tend to be the least expensive of the conventional modes, and virtually all of the comparisons made in the literature are to mail surveys. Response Rates A standard way to summarize survey performance is by comparing response rates among various survey modes. By â€Å"survey mode† (sometimes called response mode) we mean the mode by which the survey itself is conducted: Web, e-mail, mail, etc. In this section, we compare response rates for studies classified into one of three categories: (1) Surveys employing probability sampling or conducting a census that used the Web as the only response mode; (2) Surveys in which respondents were allowed to choose one of several response modes, including at least one Internet-based response mode; and, (3) Surveys in which respondents were assigned one of several response modes, including at least one Internet-based response mode. You read "Boon or Bane" in category "Papers" We begin with results for studies that used the Web as the primary or only response mode with either censuses or robability samples (Table 1). The table is ordered by year and it shows that Web-only research surveys have currently only achieved fairly modest response rates, at least as documented in the literature. Field Methods, Vol. 14 No. 4, 2002 347-367. 3 Table 1. Response Rates for Web-only Surveys Using Probability Samples or Censuses Sample Size 1,602 14,150 Response Rate 42%d 8% Population University of Michigan Students College-bound high school and college students Everingham (2001) 1,298 44% RAND employees Jones and Pitt (1999) 200 19% University staff b 9,522 41% Purchasers of Dillman et al. 1998) computer products c 2,466 38% Purchasers of Dillman et al. (1998) computer products a Most respondents were contacted via their parents, which reduced the response rate. A mail response mode was added late in the survey protocol. b A relatively plain Web survey design was used in this experimental arm. c A relatively fancy Web survey design was used in this experimental arm. d Another 5. 6 percent of partially completed surveys were also received. Survey Couper et al. (2001) a Asch (2001) In fact, the results in Table 1 may overstate response rate performance for research surveys of broader populations because Dillman’s results are based on participants who were initially contacted by phone and had agreed to participate in a Web survey and Everingham’s sample was of a closed population of employees at one company. Jones and Pitt (1999) sampled staff at â€Å"10 universities whose staff directories were available on the WWW† and Couper et al. (2001) surveyed 1,602 University of Michigan students. In all of these cases, the potential survey participants were likely to be more homogeneous and more disposed to respond compared to a random sample of the general population. In addition, because university populations often tend to have greater access to the Internet, and today’s college students can be expected to be more computer- and Internet-savvy. In Table 2 we summarize the studies published in the literature that allowed the respondent to choose to respond either via the Web or through the mail, ordered in terms of the fraction that responded via the Web. Since for many populations the fraction of respondents that can or will answer via the Web may not be sufficiently large, and mail emerges as the most relevant second mode for a dual mode survey, these studies are important. Field Methods, Vol. 14 No. 4, 2002 347-367. 4 Table 2. Studies Allowing Respondents to Choose a Web or Mail Response Mode Total Sample Size a Study % Chose to Respond by †¦ Mail Web Overall Response Rate Population U. S. military and spouses Quigley et al. (2000) (DoD study) 7,209 83% 27% 37% Civilians c b 45% 58% U. S. Geriatric Chiefs 57 52% Raziano et al. (2001) Zhang (2000) 201 20% 80% 78% Researchers d Schleyer and Forrest (2000) 84% 74% Dentists 405 16% NOTE: The multiple Quigley et al. and Raziano et al. entries represent multiple arms of the same study. a This arm of the study used mail as the contact mode. b Includes e-mail. The authors do not distinguish between e-mail and Web as a response mode. c This arm of the study used e-mail as the contact mode. d The response mode in this case was either e-mail or fax. 21,805 Raziano et al. 2001) Sedivi Gaul (2001) and Griffin et al. (2001) (American Community Survey [2000]) Sedivi Gaul (2001) and Griffin et al. (2001) (Library Media Center Survey [1998]) Sedivi Gaul (2001) and Griffin et al. (2001) (Library Media Center Survey [1999]) Quigley et al. (2000) (DoD study) 57 9,596 924 13,440 96% 95% 95% 81% 77% 4% 5% 5% b 77% 38% 38% 63% 42% U. S. Geriatric Chiefs U. S. households Librarians Librarians 19% 23% In Table 2 we see that for most of the studies respondents currently tend to choose mail when given a choice between Web and mail. In fact, even when respondents are contracted electronically it is not axiomatic that they will prefer to respond electronically, as in Raziano et al. (2001) that did not find a statistically significant difference in response rates. Zhang (2000) and Schleyer and Forrest (2000) are the only studies that contradict this conclusion and they tend to represent groups of respondents that are largely or entirely computer literate and comfortable with electronic communication. In comparison, Quigley et al. (2000) and the American Community Survey (2000) study tend to represent general cross-sections of the U. S. ublic in terms of computer literacy and availability and for these studies the fraction that chose Web as the response mode was quite small. In Table 3 we present studies that compared response rates between groups assigned to one of either two or three response modes. Here we see that Internet-based mode response rates generally do not achieve response rates equal to mail surveys. (The table is first ordered from lowest to highest e-mail response rate and then by Web response rate. ) Further, Sheehan (2001) concludes that e-mail response rates are declining over time (though the reason for the decline is unknown). Field Methods, Vol. 14 No. 4, 2002 347-367. 5 Table 3. Studies With Multiple Study Arms: Comparing Response Rates for E-mail, Web and Mail Response Modes Total Sample Size 400 500 418 153 262 8,000 904 140 200 1,800 Response Rate E-mail Mail 6% 27% 7% 52% 19% 57% 28% 78% 40% 45% 43% 71% a 58% 53% 68% 38% 34% 72% -54% -62% Population University staff University staff MIS and marketing faculty Health educators BBS newsgroup users Federal employees WSU faculty ATT employees University staff Businesses in Slovenia Undergraduates at the University 600 of Florida McCabe et al. 2002) 5,000 63% -40% University of Michigan Students — Indicates not applicable; the indicated response mode was not evaluated in the study. a An additional 5 percent that were returned by mail are not included in this number. b In the 2nd follow-up of both study arms respondents were contacted by both mail and e-mail. c An additional phone study arm achieved a response rate of 63%, an additional contact mail / response fax study arm achieved a response rate of 43%. Study Tse et al. (1995) Tse (1998) Schuldt and Totten (1994) Kittleson (1995) Mehta and Sivadas (1995) Couper et al. 1999) Schaefer and Dillman (1998) Parker (1992) Jones and Pitt (1999) c Vehovar et al. (2001) b Pealer et al. (2001) Web ——–19% 32% 58% Parker (1992) is the only study of which we are aware in which e-mail achieved equal or higher response rates when compared to postal mail. Parker conducted a survey of 140 expatriate ATT employees on matters related corporate policies for expatriation and repatriation, reporting a 63 percent response rate via e-mail (63 returned out of 100 sent by e-mail) compared to a 38 percent response rate for postal mail (14 returned out of 40 sent by mail). Interestingly, Parker (1992) also attributed the difference in response rates to the fact that, at the time, ATT employees received a lot of corporate paper junk mail yet, over the internal e-mail system, they received little to no electronic junk mail. Hence, recipients of the paper survey were more likely to discount its importance compared to e-mail survey recipients. With the spread of e-mail â€Å"spam,† this situation is likely to be reversed today. In an example more typical of the current state of affairs, and in one of the few studies to randomize respondents to mode, Couper et al. (1999) obtained an average email response rate of about 43 percent compared to almost 71 percent with mail in a survey of employees in five federal statistical agencies. Couper et al. chose e-mail as the Field Methods, Vol. 14 No. 4, 2002 347-367. 6 mode for the survey over the Web because e-mail was almost universally available in the five agencies while the Web was often not available. Turning to the Web, McCabe et al. 2002) conducted an experiment in which 5,000 University of Michigan students were randomized to receive a survey about drug and alcohol use; 2,500 potential respondents received a mail survey and 2,500 were notified of an equivalent Web-based survey. Respondents in both groups received a $10 gift certificate incentive. In this study, McCabe et al. achieved a 63 percent Web response rate compared to 40% for mail. In contrast, howeve r, Pealer et al. did not find a statistically significant difference between Web and mail response rates for a survey of undergraduates at the University of Florida. The only other published study that achieved exceptional response rates with an Internet-based survey is Walsh et al. (1992) in which potential respondents were solicited by e-mail and offered the option to respond by e-mail or request a paper survey by postal mail. While they did not conduct an equivalent postal mail only survey for comparison (and thus are not listed in Table 3), Walsh et al. achieved a 76 percent overall response rate of a randomly sample of subscribers (300 out of a total population of 1,100) to a scientific computer network for an e-mail survey. In addition to providing nonrespondents with two follow-up reminders, a lottery prize of $250 was employed as an incentive. Walsh et al. found that 76 percent of the respondents replied by e-mail and the other 24 percent responded by postal mail. They also received requests from an additional 104 subscribers (who were not chosen in the sample of 300) to participate in the survey. For the self-selected 104, 96 percent responded by e-mail. Not surprisingly, they also found a positive correlation between propensity to respond electronically and amount of network usage. In conclusion, there is little evidence in the literature that Internet-based surveys achieve higher response rates, as a general rule, than conventional surveys. The few Internet-based surveys that have achieved higher response rates have tended to be either of university-based populations or small, specialized populations. The majority of results reported in the literature show Internet-based surveys at best currently achieve response rates equal to conventional modes and often do worse. The reasons for this difference are not yet clear and require more study. Yet, as we have seen, there are also a few examples of Web surveys outperforming mail for some specific populations. Whether this was idiosyncratic of these few surveys, Field Methods, Vol. 14 No. 4, 2002 347-367. 7 or it is an indication that methodology is developing to achieve higher response rates in the new medium is yet to be shown. It is important to note that, contrary to intuition, there is no evidence in the literature that concurrent fielding of a survey via a conventional mode and via an Internet-based mode results in any significant improvement in response rates. This may be because, as Table 2 shows, except in specialized populations, when given a choice between mail and Web surveys, most individuals tend to respond to the mail survey. In addition, there is no evidence that those who would normally refuse to complete a mail survey would choose to respond if the survey was Internet-based. Of course, these results are specific to the current state of the art of Internet-based surveying, existing technology, and the current state of respondent attitudes toward surveys, both Internetbased and conventional. Future developments may significantly alter these findings and more research is certainly warranted in an attempt to improve the response rate performance of Internet-based surveys. Finally, we note that while research surveys based on probabilistic survey sampling methods are generally recognized as being necessary to conduct statistical inference to any population outside of the sample, convenience sampling can also be useful to some researchers for other purposes. For example, early in the course of research, responses from a convenience sample might be useful in developing research hypotheses. Responses from convenience samples might also be useful for identifying issues, defining ranges of alternatives, or collecting other sorts of non-inferential data. In fact, in certain types of qualitative research, convenience samples on the Web may be just as valid as other methods that use convenience samples. There are a number of studies in the literature that used convenience samples, for which response rate comparisons do not apply (and hence precluded their inclusion in Tables 1-3), often with respondents recruited through advertising of some form. While response rates for these studies are meaningless, we present a few of the more interesting studies here to illustrate alternative ways that Web surveys can be used. In a social science study of geographic mobility and other topics Witte et al. (2000) recruit a large number of respondents: 32,688. Similarly, Vehovar et al. (1999) conducted a large-scale survey targeted at the Internet population of Slovenia, which corresponds to about 13 percent of the total population of Slovenia. In both cases, similarly sized traditional mail surveys would likely have been more complicated and very expensive to field. Coomber (1997) conducted a survey about drug dealer practices, where his target population was illicit drug-dealers throughout the world. Coomber solicited responses by e-mail and Field Methods, Vol. 14 No. 4, 2002 347-367. 8 through advertising, and collected responses on the Web hoping his respondents would be encouraged to respond more honestly because of a perceived anonymity. Timeliness In today’s fast-paced world, survey timeliness is increasingly stressed. The length of time it takes to field a survey is a function of the contact, response, and follow-up modes. Decreasing the time in one or more of these parts of the survey process will tend to decrease the overall time in the field. However, it is important to keep in mind that the relevant measure is not average response time but maximum response time (or perhaps some large percentile of the response time distribution) since survey analysis generally does not begin until all of the responses are in. Most studies tend to conclude, often with little or no empirical evidence, that Internet-based surveys are faster than surveys sent by postal mail. This conclusion is usually based on the recognition that electronic mail and other forms of electronic communication can be instantaneously transmitted while postal mail takes more time. However, simply concluding that Internet-based surveys are faster than mail surveys naively ignores the reality that the total amount of time for survey fielding time is more than just the survey response time. A complete comparison must take into account the mode of contact and how long that process will take and the mode of follow-up allowing for multiple follow-up contact periods. For example, if e-mail addresses of respondents are unavailable and a probability sample is desired then respondents may have to be contacted by mail. In this case a Web survey only saves time for the return delivery of the completed questionnaire, and not for the contact and follow-up, so that the resulting time savings may only be a fraction of the total survey fielding time. In the case of e-mail surveys, where the presumption is that the potential respondents e-mail addresses are known and can therefore be used not just for delivering the survey but also for pre-notification and non-response follow-up, the time savings can be substantial. For example, one is often forced to allow for a week of delivery time in the postal mail. With an advance letter and a single mail follow-up, this one week delay telescopes into over a month in survey fielding when two weeks must be budgeted for initial survey delivery and return time, plus an additional two weeks for a single followup reminder delivery and response time. By comparison, in an all-electronic process the same operation has the potential to be completed in a few days or less. Yet, even in an all-electronic environment it is not necessarily true that the Internet-based survey will be timelier. For example, in a comparison of response speed Field Methods, Vol. 14 No. 4, 2002 347-367. 9 between e-mail and mail, Tse et al. (1995) did not find a statistically significant difference in the time between sending and receipt of an e-mail survey to university faculty and staff and an equivalent survey sent by mail. Furthermore, to achieve sufficiently high response rates, it may be necessary to leave an Internet-based survey in the field for an extended period of time. For example, a prominent commercial Internet survey company, Knowledge Networks, has indicated that to achieve 70-80 percent response rates they must leave a survey in the field for about 10 days. This period comprises one workweek with two weekends, because they find that most respondents complete their surveys on the weekend. However, there are cases in the literature that did show more timely response. Tse (1998) found a statistically significant difference in the average initial response time for those that received an e-mail survey compared to those that received a paper survey in the campus mail (one day versus 2-1/2). Further, in Tse’s experiment, most e-mail survey recipients either responded almost immediately (within one day) or they did not respond at all, which raises the question of the effectiveness of non-response follow-up in the electronic forum. Schaefer and Dillman (1998) also document faster e-mail response rates: 76 percent of all responses were received in 4 days or less. Pealer et al. 2001) found a statistically significant difference in the average return time between their e-mail study arm (7. 3 days) and their mail study arm (9. 8 days). However, the final e-mail survey was received after 24 days and the final mail survey after 25 days—a negligible difference in overall fielding time. In conclusion, while it is certainly reasonable to conclude p rima facie that the delivery time of an Internet-based survey is faster than the delivery of a survey by mail, it does not necessarily follow that the increased delivery speed will translate into a significantly shorter survey fielding period. Two points are relevant: (1) dramatic improvements are only possible with an all-electronic process, which is currently only possible for specialized populations; and, (2) even for populations in which all-electronic surveys are possible, the literature is not very informative as there is no information available about the length of fielding time required to achieve particular response rates. Quality When the primary purpose of a survey is to gather information about a population, the information is useless unless it is accurate and representative of the population. While survey error is commonly characterized in terms of the precision of statistical estimates, a good survey design seeks to reduce all types of errors, including coverage, Field Methods, Vol. 14 No. 4, 2002 347-367. 10 sampling, non-response, and measurement errors. (See Groves, 1989, for a detailed discussion of the â€Å"Total Survey Error† approach. ) Indeed, even when a survey is conducted as a census, the results still may be affected by many of these sources of error. Coverage error is the most widely recognized shortcoming of Internet-based surveys. Today the general population coverage for Internet-based surveys still significantly lags behind the coverage achievable using conventional survey modes. However, there are some important caveats to keep in mind. First, the coverage differential is rapidly closing and may become immaterial in the relatively near future (though this is far from a preordained conclusion). Second, even though conventional modes have the ability to reach most of the population, it is becoming increasingly difficult to get people to respond (e. g. answering machines are routinely used to screen calls these days and, hence, screen out telephone surveyors and solicitors). Third, while conventional modes have near universal coverage, there will always be special subpopulations that have little or no coverage for any mode. Fourth, in the case of Internetbased surveys, access is only one consideration. Even if the respondent in principle has Internet access (e. g. through a library), there are large portions o f the population that are still computer illiterate and would have difficulty correctly responding to such a survey. Finally, access and computer literacy are necessary but not sufficient conditions for success: Respondents must also have compatible hardware and software. However, less than universal access to the Internet can be immaterial for some studies, such as studies that focus on closed populations with equal access or Internet users, for example. In order to improve coverage, Dillman (2000) recommends a mixedmode strategy for contact, using both e-mail and postal mail for pre-notification. Similarly, using mixed response modes, such as Web and e-mail can be used to increase coverage. However, as we previously mentioned, there is little evidence in the literature that concurrent mixed mode fielding increases response rates over what would have been achieved using a single, conventional mode. In addition to coverage, data quality is a function of a number of other dimensions, including: (1) unit and item nonresponse; (2) honesty of responses, particularly for questions of a sensitive nature; (3) completeness of responses, particularly for openended questions; and, (4) quality of data transcription into an electronic format for analysis if required by the survey mode. All other things held constant (such as pre-notification and non-response followup), unit and item non-response are generally smaller using interviewer-assisted modes (de Leeuw, 1992) compared to self-administered survey modes. Face-to-face interviews Field Methods, Vol. 14 No. 4, 2002 347-367. 11 have long been considered the gold standard of surveys and tend to result in the lowest unit and item non-response as well as minimizing respondent misinterpretation of questions and skip patterns. However, it has been shown that interviewer-administered survey modes, particularly face-to-face, yield more socially desirable answers than selfadministered modes (de Leeuw, 1992, Kiesler et al. , 1986, p. 409). This is particularly relevant for surveys of sensitive topics or for surveys that contain sensitive questions, such as questions about income or sexual practices, for example. Mail and other selfadministered modes tend to be the least expensive but often have higher unit and item non-response rates. On the other hand, they tend to elicit the most accurate responses to sensitive questions. Data quality is usually measured by the number of respondents with missing items or the percentage of missing items. For open-ended questions, longer answers are usually considered more informative and of higher quality. In those studies that compared e-mail versus mail, for closed-ended questions, it appears that e-mail surveys may incur a higher percentage of items missing than mail surveys. As Table 4 shows, for studies in the literature that reported the percentage of missed items, the percentage for mail respondents was less than or equal to the percent for e-mail respondents. Table 4. Average Percentage of Missed Items for E-mail and Postal Mail Surveys Postal Mail Population 14. 2 Undergraduates, University of Florida 0. 7 Business school deans and chairpersons 0. 4 Names and addresses purchased from Internet magazine in the U. K. 0. 5 Fourth-year medical students 0. 8 Employees of five U. S. federal agencies 0. 3 Active U. S. users of bulletin board system (BBS) news group Study Peale et al (2001) Bachman at al. (1996) Comley (1996)a Paolo et al. (2000) Couper et al. (1999)b Mehta and Sivadas (1995)c a E-mail 14. 2 3. 7 1. 2 1. 2 0. 8 0. 3 Based on three questions. Based on 81 attitude questions. c Across five different study arms, one of which allowed for both mail and e-mail responses. b At the respondent level, Paolo et al. (2000) also found that 27 percent of e-mail respondents did not respond to at least one question versus 9 percent for mail respondents. Kiesler and Sproull (1986) found the opposite: in the e-mail (contact and response) study arm only 10 percent of respondents failed to complete or spoiled one Field Methods, Vol. 14 No. 4, 2002 347-367. 12 item compared to 22 percent in the mail (contact and response) study arm. Tse (1995, 1998) found no difference in quality of responses. For open-ended questions, studies found that e-mail responses are either longer or of the same length as mail responses. Comley (1996) found that in the two open-ended questions e-mail respondents gave longer answers. One respondent even wrote a miniessay. Mehta and Sivadas (1995) found that there was â€Å"hardly any difference between the average completed responses for both the open and close-ended questions† (Mehta and Sivadas, 1995, p. 436). Kiesler and Sproull (1986) found that the total number of words did not significantly differ for e-mail and mail respondents. If one also takes into consideration that open-ended items for mail respondents are not always encoded for cost reasons, it appears that Internet-based survey modes may be better suited to open-ended questions. Other quality issues for Internet-based surveys resulting from some sort of sampling error are generally the same as for conventional surveys. However, as the Internet becomes more ubiquitous, collecting much larger samples becomes more feasible. Indeed, we have talked to some organizations recently that have electronic access to their entire population and are considering eliminating sampling and simply conducting censuses. Often these census efforts result in much larger numbers of respondents than otherwise could have been gathered using traditional survey sampling techniques and those larger numbers give the appearance of greater statistical accuracy. However, such accuracy may be misleading if non-response biases are not accounted for and researchers need to carefully consider the trade-offs between smaller samples that allow for careful non-response follow-up and larger samples with less or no follow-up. The former may have larger standard errors but less bias while the latter may have much smaller standard errors but an unknown, and potentially very large, amount of bias. Finally, we note that Web surveys offer the ability to clearly improve on other forms of self-administered surveys in terms of data validation, skip pattern automation, and the elimination of transcription errors, all of which help to minimize measurement error. Web surveys can be programmed to conduct input validation as a logical check of the respondent’s answers. These types of checks improve data quality and subsequently save time in the preparation of the analysis file. As with logic checks, Web surveys can also be programmed to manage the process of skipping questions. This will eliminate errors and, from the respondent’s point of view, simplify the process of taking the survey. And, while all conventional surveys required some form of conversion into an electronic Field Methods, Vol. 14 No. 4, 2002 347-367. 13 format for analysis, for Web surveys respondents’ answers are directly downloaded into a database, avoiding transcription errors. Cost Designing a survey fundamentally involves making trade-offs between the quality and quantity of data and cost. For smaller research surveys that are not subsidized in any way, a major component of total survey cost is frequently the researchers’ time for survey design and subsequent data analysis. However, these costs vary little by survey mode. A major expense that does vary by mode is the labor cost of the personnel who actually execute the survey. Depending on the size of the survey and the complexity of the design, either researcher labor costs, survey personnel labor costs, or a combination of the two will likely dominate the survey budget. Comparing the costs of doing a Web survey versus a mail survey or other some other mode in the literature is difficult because different authors define costs different ways. Academics frequently only consider postage and reproduction costs and often fail to account for the cost of one or more of various types of labor, including: survey design and/or programming, coding, analysis, and other such items. Estimates also vary depending on whether they are given on a per mail-out or per complete survey response basis and, unfortunately, most studies in the literature omit any discussion about costs altogether. However, the question often reduces to how to price the time spent programming a Web survey and whether and how to price the time of the investigator or a survey coordinator. While lower costs are often touted as one of the benefits of Internet-based surveys, Couper et al. (1999) found no cost benefit in e-mail compared to postal mail surveys in their work. In a large and comprehensive survey effort of different government agencies Couper et al. compared an all e-mail survey (contact, response, and follow-up) versus an all mail survey. They found that evaluating and testing the e-mail software took over 150 hours – almost 4 times as much as they budgeted. For the mail survey, costs for printing and postage were $1. 60 per reply; and data editing and entry cost about $1. 81. For the email survey, managing the e-mail cost $1. 74 per completed case. In addition, they handled over 900 toll-free calls of a mostly technical nature. While the printing and mailing costs were eliminated for the e-mail survey, Couper et al. found that the costs of evaluating and testing the e-mail software, additional post-collection processing, and the costs of maintaining a toll-free phone line which was largely dedicated to responding to technical questions related to the e-mail surveys offset any savings. (For example, while Field Methods, Vol. 14 No. 4, 2002 347-367. 14 the e-mail survey was designed so that respondents would use the reply function of their e-mail program so the resulting replies could be automatically read into a database upon receipt. Further, almost 47 percent of the e-mail surveys required some type of clerical action to prepare them for automatic reading. On the other hand, Raziano et al. (2001) in a small study of 110 Geriatric Chiefs across the U. S. , compute the cost per respondent for their mail study arm to be $7. 70 and for their e-mail study arm $10. 50. The programming time to construct the e-mai l survey is factored into this calculation. However, the total programming time accounted for, two hours, may be unrealistic for a large or complicated survey operation. Also, these estimates fail to reflect the fact that their postal arm response rate from the first mail-out exceeded the e-mail arm response rate after four contact attempts. Hence, for a given desired response rate, the difference in costs would be less as fewer mailings would be required. Similarly, Schleyer and Forrest (2000) in their study received responses over the Web, by mail, and by fax and found the total costs for the Web survey turned out to be 38 percent lower than for the equivalent mail survey. Asch (as reported in Schonlau et al. 2002) found that adding a Web response option to a mail survey to be economical when about 620 responses are obtained over the Web when the Web is first used as the primary survey mode and surveys are only mailed out to non-respondents. Their calculations were based on the trade-off of the expected savings in postage, printing, and labor costs to prepare survey mailing packages and code the subsequent survey returns against the expected extra costs of programming, additional management effort, and maintaining a telephone help-line for the Web survey. This study did achieve a cost savings since it garnered over 1,000 Web responses. In two studies that essentially ignore personnel costs, Mehta and Sivadas (1995) and Jones and Pitt (1999) conclude, not surprisingly, that Internet-based surveys are less costly than mail surveys. These conclusions simply stem from the fact that Internetbased surveys do not incur postage and printing costs while mail surveys do. In conclusion, when only considering postage and printing costs, e-mail and Web surveys almost by definition are cheaper than mail surveys. However, when the total costs of a survey are considered, including labor and other costs, Web surveys may or may not be cheaper depending on whether the additional expenses incurred with that mode, such as programmer costs, are offset by savings, such as postage and data entry costs. When planning for and subsequently executing a Web survey, care must be taken that unanticipated technical problems are minimized or these problems can easily eliminate all potential cost benefits. Field Methods, Vol. 14 No. 4, 2002 347-367. 15 SUMMARIZING THE CURRENT PERFORMANCE OF INTERNET SURVEYS In the Introduction we said that Internet-based surveys are in vogue – those conducted via the Web in particular – primarily because of three assumptions: (a) Web surveys are much cheaper to conduct; (b) Web surveys are faster; and, (c) combined with other survey modes, Web surveys yield a higher response rate than the other survey modes by themselves. That is, the usual naive generalization about Internet-based surveys is that they can be conducted faster, better, cheaper, and easier than surveys conducted via conventional methods. How do these claims stand up when compared to what has been published in the literature? Faster? Web surveys are thought to be much faster than conventional survey modes. While there is no question that the delivery time of an Internet-based survey is faster than a survey sent via the mail, there is little to no evidence in the literature to substantiate whether this increase subsequently results in a shorter overall fielding period. We are aware of a couple of organizations that have implemented all-electronic survey processes by communicating with respondents via e-mail, but this is only currently possible for prerecruited panels or specialized subsets of the population. If respondents must be contacted through mail or phone, which generally is the case if a probability sample is required by the research, then there may only be a marginal improvement in overall response times. Better? Response rates for Web surveys where no other survey mode is iven have tended to range from moderate to poor. The reasons for this are not clear. It is possible that potential respondents simply do not respond as well to electronic solicitation or response. If true, this may improve as Internet-based communication methods continue to spread and become routine with all segments of the general population. It is also possible that the execution of the Internet-based survey experiments have been less than optimal – something th at will improve with surveyor experience. There are a few examples of Web surveys outperforming mail in some of the more recent comparisons between these two media. Whether this was a unique result for these few surveys, or whether it is a leading indicator that the field is maturing and learning how to achieve higher response rates in the new medium is not known. In either case, it Field Methods, Vol. 14 No. 4, 2002 347-367. 16 is of concern that any improvements in these areas may be offset by over-saturation of the population with other forms of commercial surveys. Setting the question of response rate aside, Web surveys offer some advantages over conventional modes. For example, if multi-media and/or interactive graphics are required then there are few conventional alternatives (and those alternatives, such as face-to-face interviewing, would likely be significantly more costly). If a convenience sample will suffice for the research, then Web can be an excellent medium to use, particularly if the desired respondents are geographically diverse or hard to find/identify. A major issue for Web surveys is their ease of implementation facilitates naive misuse. The particular concern for this medium is the easy collection of large numbers of surveys can result in surveyors and survey data consumers confusing quantity with quality. There is on-going research about the effects of surveying via the Internet, the Web in particular, on unit and item non-response and on the affect the medium has on survey responses. Preliminary results have been reported at some conferences and symposia, but little has appeared in the literature as yet. Cheaper? The usual claim that Web surveys are much cheaper than mail surveys is not necessarily true. Web and e-mail surveys can save on some or all mailing costs, but except for very large surveys these may be small costs in the overall survey effort. Web surveys can also eliminate data entry costs; e-mail survey results may not because they often require additional manipulation before they can be downloaded into an analytical database. However, savings in data entry may be partially or completely offset against higher programming costs and additional help desk staffing requirements. The literature mostly neglects labor costs, which form the highest cost component for Web surveys. Nonetheless, adding a Web survey to a mail survey can be cost efficient if done carefully and properly. Easier? The implementation of Web surveys is technically more involved than mail or phone surveys. Survey designers need to specify many issues related to the technical control of Web surveys (e. g. how to move back and forward between questions, input validation, passwords, for what questions answers are not optional) that are simpler or not required with conventional survey modes. Web surveys also require more extensive Field Methods, Vol. 14 No. 4, 2002 347-367. 17 pretesting to ensure both that the questions elicit the desired information and that the program works properly across numerous hardware and software configurations. The fielding process may or may not be made easier. Internet-based surveys have the potential to eliminate some of the more labor-intensive fielding tasks, such as survey package preparation and mailing and the subsequent data entry. Yet, if mixed modes are required to obtain sufficient population coverage and/or response rates, then these tasks cannot be completely eliminated and the fielding process may actually then become more complex since support for two or modes must be maintained and managed. What is the Future of Internet-based Surveying? The first Internet browser was introduced only about a decade ago and early use of the World Wide Web as a survey medium only started about five years ago. The result is that significant research results about the use of this new survey medium have only recently begun to become available in the literature. Hence, there is a great deal that is still not well known about Internet-based surveys. While some predict that Web surveys will replace other survey modes, we expect Web surveys to develop into a distinct survey mode with advantages and disadvantages that will have to be weighed against the conventional alternatives. Little is known about Web instrument design and the effects of instrument design on how survey participants respond to a survey or a particular survey question, and what enhances response rates and response accuracy. For example, at the 2001 American Association of Public Opinion Researchers conference, some anecdotal evidence was presented that respondents taking surveys on the Web had shorter attention spans, tending to browse the survey like they browse other Web sites. If true, this would suggest that long surveys and/or surveys with complex questions may not perform as well on the Web as by mail. While many of the design principles from paper-based surveys may translate to Internet-based surveys, much more research is required. To date, most Web surveys have been conducted on convenience samples or in organizations where a list of target populations readily exists. However, Internet-based surveys with probability samples can be fielded by using the mail or telephone for respondent contact and the Web for response. There is currently no equivalent to random digit dialing for e-mail. Even though the fraction of the population having access to email will continue to grow, it is unlikely that one will ever be able to construct a random e-mail address in the same way a random telephone number is constructed. However, Field Methods, Vol. 14 No. 4, 2002 347-367. 18 large commercial e-mail lists may yet emerge that are of high enough quality to be useful in survey research. A major challenge for researchers will be to distinguish themselves and their survey from the plethora of commercial and entertainment surveys that exist and continue to multiply on the Web. These other surveys will continue to proliferate because the financial and technical barriers are so low for Web surveys. Thus, just as telephone survey response rates have continued to decline because of telemarketers, it s likely to become increasingly difficult to achieve superior response rates in the new medium. Nonetheless, Internet-based surveys are here to stay. The challenge for researchers is to learn to use the new medium to their best advantage. REFERENCES Asch, B. , (2001). RAND, Santa Monica, California. Personal communication. Bachman, E. , J. Elfrink, and G. Vazzana (1996). Tracking the Progress of E-Mail vs. Snail-Ma il, Marketing Research, 8, 31-35. Bradley, N. (1999). Sampling for Internet Surveys. An Examination of Respondent Selection for Internet Research, Journal of the Market Research Society, 41, 387395. Cochran, W. G. (1977). Sampling Techniques, 3rd edition, John Wiley Sons, New York, NY. Comley, P. (1996). Internet Surveys. The Use of the Internet as a Data Collection Method, ESOMAR/EMAC: Research Methodologies for â€Å"The New Marketing,† Symposium ESOMAR Publication Services, vol. 204, 335-346. Coomber, R. (1997). Using the Internet for Survey Research, Sociological Research Online, 2, 14-23. Couper, M. (2000). Web Surveys, A Review of Issues and Approaches, Public Opinion Quarterly, 64, 464-494. Couper, M. P. , J. Blair and T. Triplett (1999). A Comparison of Mail and E-mail for a Survey of Employees in U. S. Statistical Agencies. Journal of Official Statistics, 15, 39-56. Couper, M. P. , M. W. Traugott, M. J. Lamias (2001). Web Survey Design and Administration. Public Opinion Quarterly, 65, 230-253. Field Methods, Vol. 14 No. 4, 2002 347-367. 19 de Leeuw, E. D. (1992). Data Quality in Mail, Telephone, and face to Face Surveys, Ph. D. dissertation, University of Amsterdam, ISBN 90-801073-1-X. Dillman, D. A. (2000). Mail and Internet Surveys, The Tailored Design Method, 2nd ed. , John Wiley Sons, New York, NY. Dillman, D. A. , R. D. Tortora, J. Conradt and D. Bowerk (1998). Influence of Plain vs. Fancy Design on Response Rates for Web Surveys. Unpublished paper presented at the Annual Meeting of the American Statistical Association, Dallas, TX. Dillman, D. A. (1978). Mail and Telephone Surveys, The Total Design Method, John Wiley Sons, New York, NY. Everingham, S. (2001). RAND, Santa Monica, California. Personal communication. Fowler, Jr. , F. J. (1993). Survey Research Methods, 2nd ed. , Applied Social Science Research Methods Series, volume 1, SAGE Publications, Newbury Park, CA. Griffin, D. H. , D. P. Fischer, and M. T. Morgan (2001). Testing an Internet Response Option for the American Community Survey. Paper presented at the American Association for Public Opinion Research, Montreal, Quebec, Canada. Groves, R. (1989). Survey Errors and Survey Costs, John Wiley Sons, New York, NY. Hamilton, C. H. (2001). Air Force Personnel Center, Randolph Air Force Base, personal communication. Henry, G. T. (1990). Practical Sampling, Applied Social Research Methods Series, Volume 21, SAGE Publications, Newbury Park, CA. Jones, R. and N. Pitt (1999). Health Surveys in the Workplace: Comparison of Postal, Email and World Wide Web Methods, Occupational Medicine, 49, 556-558. Kiesler, S. and L. S. Sproull (1986). Response Effects in the Electronic Survey, Public Opinion Quarterly, 50, 402-413. Kish, L. (1965). Survey Sampling, John Wiley and Sons, New York, NY. Kittleson, M. J. (1995). An Assessment of the Response Rate Via the Postal Service and E-Mail, Health Values, 18, 27-29. McCabe, S. E. , Boyd, C. , Couper, M. P. , Crawford, S. , and H. d’Arcy (2002). Mode Effects for Collecting Health Data from College Students: Internet and US Mail. Paper under review. Mehta, R. and E. Sivadas (1995). Comparing Response Rates and Response Content in Mail versus Electronic Mail Surveys, Journal of the Market Research Society, 37, 429-439. Field Methods, Vol. 14 No. 4, 2002 347-367. 20 Nichols, E. , and B. Sedivi (1998). Economic Data Collection via the Web: A Census Bureau Case Study Proceedings of the Section On Survey research Methods, American Statistical Association,366-371. Paolo, A. M. , Bonaminio, G. A. , Gibson, C. , Partridge, T. and K. Kallail (2000). Response Rate Comparisons of e-mail and mail distributed student evaluations, Teaching and Learning in Medicine, 12, 81-84. Parker, L. (1992). Collecting Data the E-Mail Way, Training and Development, July, 5254. Pealer, L. , R. M. Weiler, R. M. Pigg, D. Miller, and S. M. Dorman (2001). The Feasibility of a Web-Based Surveillance System to Collect Health Risk Behavior Data From College Students. Health Education Behavior, 28, 547-559. Quigley, B. , Riemer, R. A. , Cruzen, D. E. , and S. Rosen (2000). Internet Versus Paper Survey Administration: Preliminary Finding on Response Rates, 42nd Annual Conference of the International Military Testing Association, Edinburgh Scotland. Raziano, D. B. , R. Jayadevappa, D. Valenzula, M. Weiner, and R. Lavizzo-Mourey (2001). E-mail Versus Conventional Postal Mail Survey of Geriatric Chiefs. The Gerontologist, 41, 799-804. Schaefer, D. R. and D. A. Dillman (1998). Development of a Standard E-mail Methodology: Results of an Experiment. Public Opinion Quarterly, 62, 378-397. Schleyer, T. K. L. and J. L. Forrest (2000). Methods for the Design and Administration Web-Based Surveys, Journal of the American Medical Informatics Association, 7, 416-425 Schillewaert, N. , F. Langerak and T. Duhamel (1998). Non-probability Sampling for WWW Surveys: A Comparison of Methods, Journal of the Market Research Society, 40, 307-322. Schonlau, M. , Fricker, R. D. , Jr. , and M. Elliott. (2002). Conducting Research Surveys via E-Mail and the Web, RAND: Santa Monica, MR-1480-RC. Schuldt, B. A. and J. W. Totten (1994). Electronic Mail vs. Mail Survey Response Rates, Marketing Research, 6, 36-44. Sedivi Gaul, B. (2001a). Web Computerized Self-administered Questionnaires (CSAQ). Presentation to the 2001 Federal CASIC Workshops. U. S. Census Bureau, Computer Assisted Survey Research Office. Sedivi Gaul, B. (2001b). United States Census Bureau, Washington, D. C. Personal Communication. Field Methods, Vol. 14 No. 4, 2002 347-367. 21 Sheehan, K. B. (2001). E-mail survey response rates: A review. Journal of ComputerMediated Communication, 6(2). Retrieved March 9, 2002, from http://www. ascusc. org/jcmc/vol6/issue2/sheehan. html. Tse, A. C. B. , Tse, K. C. , Yin, C. H. , Ting, C. B. , Yi, K. W. , Yee, K. P. , and W. C. Hong (1995). Comparing Two Methods of Sending Out Questionnaires: E-mail versus Mail, Journal of the Market Research Society, 37, 441-446. Tse, A. C. B. (1998). Comparing the Response Rate, Response Speed and Response Quality of Two Methods of Sending Questionnaires: E-mail versus Mail, Journal of the Market Research Society, 40, 353-361. Tuten, T. L. , D. J. Urban, and M. Bosnjak (in press, 2002). â€Å"Internet Surveys and Data Quality: A Review† in: B. Batinic, U. Reips, M. Bosnjak, A. Werner, eds. , Online Social Sciences, Hogrefe Huber, Seattle, 7-27. Vehovar, V. , K. Lozar Manfreda, and Z. Batagelj (1999). Web Surveys: Can the Weighting Solve the Problem? Proceedings of the Section on Survey Research Methods, American Statistical Association, Alexandria, VA, 962-967. Vehovar, V. , K. Lozar Manfreda, and Z. Batagelj (2001). Sensitivity of e-commerce Measurement to the Survey Instrument. International Journal of Electronic Commerce, 6, 31-51. Walsh, J. P. , S. Kiesler, L. S. Sproull, and B. W. Hesse (1992). Self-Selected and Randomly Selected Respondents in a Computer Network Survey, Public Opinion Quarterly, 56, 241-244. Witte, J. C. , L. M. Amoroso, and P. E. N. Howard (2000). Research Methodology – Method and Representation in Internet-based Survey Tools, Social Science Computer Review, 18, 179-195. Zhang, Y. (2000). Using the Internet for Survey Research: A Case Study, Journal of Education for Library and Information Science, 5, 57-68. Ron Fricker is a statistician at RAND. He has designed, managed, and analyzed many large surveys of national importance, including a survey of Persian Gulf War veterans about Gulf War Illnesses and, most recently, a survey on domestic terrorism preparedness in the United States. Dr. Fricker holds Ph. D. in Statistics from Yale University. In addition to his position at RAND, Dr. Fricker is the vice-chairman of the Committee on Statisticians in Defense and National Security of the American Statistical Association, an associate editor of Naval Research Logistics, and an adjunct assistant professor at University of Southern California. Field Methods, Vol. 14 No. 4, 2002 347-367. 22 Matthias Schonlau, Ph. D. , is an associate statistician with RAND and heads its statistical consulting service. Dr. Schonlau has extensive experience with the design and analysis of surveys in areas such as health care, military manpower and terrorism. Prior to joining RAND, he held positions with the National Institute of Statistical Sciences and with AT Labs Research. Dr. Schonlau has co-authored numerous articles as well as a recent RAND book â€Å"Conducting Internet Surveys via E-mail and the Web. † In 2001, he and his team won second place in the data mining competition at the world’s largest conference on data mining â€Å"KDD. † Acknowledgements. The helpful and substantive comments of three anonymous reviewers and the editor significantly improved this work. Our research was supported by RAND as part of its continuing program of independent research. Field Methods, Vol. 14 No. 4, 2002 347-367. 23 How to cite Boon or Bane, Papers

Diffusion and Osmosis free essay sample

Diffusion and Osmosis Osmolarity of Plant Cells In this class, we learned about hypertonic, hypotonic, and isotonic solutions. Hypertonic solutions have a higher concentration of solutes outside of the membrane, hypotonic solutions have a lower concentration of solutes outside the membrane, and isotonic solutions have an equal amount of solutes inside and outside of the membrane (Morgan Carter, 66). When the solute concentration is not equal, the water concentration is not equal, so water will move from a higher concentration to a lower concentration in a process called osmosis. In this experiment, we cut 4 pieces of potato, weighed them, and let each soak in a different sucrose solution for about an hour and a half. Our solutions consisted of distilled water (. 0 sucrose molarity), . 1 sucrose molarity, . 3 sucrose molarity, and . 6 sucrose molarity. Our question was â€Å"which solutions are hypertonic, which are hypotonic, and which are isotonic? †. This can all be determined through weight change. We will write a custom essay sample on Diffusion and Osmosis or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page We hypothesized that distilled water would be a hypotonic solution, the . 1M would be a hypotonic solution, the . 3M would be an isotonic solution, and the . 6M would be a hypertonic solution. We thought that . M would be the isotonic solution because its molarity is in the middle. If . 3M is in fact an isotonic solution, then the water concentration is the same inside and outside of the membrane and there should be no water movement resulting in no weight change. If distilled water and . 1M are hypotonic solutions, then the concentration of water is higher on the outside, so water will move into the potato where water concentration is lower, causing a weight gain. Finally if . 6M is hypertonic, then water concentration is lower on the outside, so water will move from the inside of the potato to the solution, causing the potato to lose weight. After about an hour and a half we took the potato pieces out of the solutions they were soaking in, patted the water off of them, and weighed them for a second time. The initial weight and final weight was recorded, which can be seen in Table 1. The potato piece that was soaking in the distilled water had a 3. 1% weight gain, and the potato piece that was soaking in . 1M sucrose had a 2. 1% weight gain. The potato piece had no weight change in the . 3M sucrose solution. And the potato piece that was soaking in . 6M sucrose solution had a 5. 7% weight loss. The weight changes can be easily seen in Graph 1. Table 1: Change in Weight |Sucrose Molarity: |0M |0. 1M |0. 3M |0. 6M | |final weight (g) |16. 4 |14. 7 |17. 7 |13. 2 | |initial weight (g) |15. 9 |14. 4 |17. 7 |14 | |weight change (g) |0. 5 |0. 3 |0 |0. 8 | |%change in weight |3. 10% |2. 0% |0% |5. 70% | Graph 1: [pic] As you can see, the results supported our hypothesis. Distilled water is a hypotonic solution, which makes sense because there is no concentration of solute in it. The water moved to the potato because the potato has more sucrose concentration, meaning a lower water concentration. The potato that was soaking in . 1M sucrose solution also gained weight as an effect of having a lower water concentration inside, but its weight gain percentage was lower because the solution had more solute than the distilled water. The potato soaking in . M sucrose solution had no change because the concentration of sucrose was the same in the potato as it was in the solution, as we predi cted. The potato lost weight in the . 6M sucrose solution because the amount of sucrose inside the potato was less than the solution causing water movement from the potato to the solution. These results clearly demonstrate the process of osmosis. The water moved from a region where concentration is higher to a region where concentration is lower in every case, just like it would in a cell. Of course there is always a possibility of human error in weighing, labeling, and so on. One mistake our group made was that we forgot to look at the time when we put the potatoes in the solution, so we took them out a couple minute after the group next to us took theirs out, since we started at about the same time. When our results were compared to the results of other groups, they still seemed to match up. Repeating the experiment multiple times would give even clearer results. Diffusion of Starch, Salt, and Glucose Diffusion is when molecules move from an area where they are high in concentration to an area where they are low in concentration (Morgan Carter, 66). In this experiment, we tested the ability of certain substances to pass through a semi-permeable membrane in the process of diffusion. Our semi-permeable membrane was dialysis tubing that was presoaked in water. We tied one end of the tubing with string, filled it with a solution that contained starch, salt, and glucose, and then we tied the other end. We weighed it, so we could later weigh it to discover if there was any weight change. We then placed the dialysis tubing into a beaker of distilled water. Our question was â€Å"which of these substances would be able to pass through the dialysis tubing, or semi-permeable membrane? †. After we let the tubing soak for 30 minutes, we could test for the presence of starch, salt, and glucose using 3 tests (iodine test for starch, silver nitrate test for salt, and Benedict’s reagent for glucose). Our hypothesis was that we would find the presence of all three substances in the distilled water. We thought this because we knew that molecules naturally diffuse when surrounded with an area with less concentration, but we didn’t know how much the semi-permeable membrane would interfere. Our other hypothesis was that water would enter the tubing as substances escaped it. We thought that due to osmosis, the water would move from the area of higher concentration (outside the tubing) to the area of lower concentration (inside the tubing). If our hypothesis was correct and all substances made it through the membrane, then we would expect to see the tubing gain weight and the original distilled water test positive for each substance, using our 3 tests, after the 30 minutes. To carry out the tests we had a positive control for each substance. The positive controls allowed us to see the results of the tests when we knew the solution contained the substances being tested for. We filled 3 test tubes with the starch/salt/glucose solution (positive controls) and 3 test tubes with the distilled water that the dialysis tubing had been soaking in. We put three drops of iodine in a positive control test tube, and three drops into a distilled water test tube to test for starch. Then we put five drops of silver nitrate into a positive control test tube, and five drops into a distilled water test tube to test for salt. Lastly, we put five drops of Benedict’s reagent into a positive control test tube, five drops into a distilled water test tube, and placed them both into boiling water to test for glucose. We recorded the color of each, which can be found in Table 2. We also weighed the tubing after it had soaked for 30 minutes and recorded it with the initial weight, which can be found in Graph 2. Table 2: Results of Diffusion Tests Test tube |Initial color |Final color | |starch pos control |cloudy, white |dark purple | |starch experiment |clear |yellow | |salt pos control |cloudy, white |cloudy, white | |salt experiment |clear |cloudy, white | |glucose pos control |cloudy, white |orange | |glucose experiment |clear |orange | Graph 2: [pic] If we look at Table 2 we see that we got the same color in the distilled water as we got in the positive control for the salt test and the glucose test, meaning that the distilled water tested positive for those substances. For the starch test, the positive control turned dark purple, but the distilled water turned yellow, meaning that it tested negative. If these results are correct, then starch was unable to pass through the semi-permeable membrane. This made our hypothesis false, but not completely. We were still correct about the salt and the glucose making it throught the membrane. Our other hypothesis was correct. Graph 2 displays a weight gain showing that osmosis occured, like predicted. Just like with every experiment, there is room for human error. In this experiment, a mistake that could easily be made is with tying the ends of the tubing and making sure there is no leaks. That mistake could even go unnoticed leading to false results, because it makes it look like the substances made it through the membrane when in actuallity the substances accidently spilled into the distilled water. I think these experiments were successful in demonstrating diffusion and osmosis. The diffusion experiment clearly showed that substances move down a concentration gradient until concentration is equal everywhere, unless something is holding the substances back, like a membrane. The osmosis experiment showed that water always moves down its concentration gradient also. They both showed a search for balance, or equilibrium, on a level that is hard to see without investigation. References Morgan, J. G. and M. E. B. Carter. 2013. Energy Transfer and Development Lab Manual. Pearson Learning Solutions, Boston, MA.    |Points |Self-Assessment |Total Earned | |Introduction |2 |  2 |   | |Results |2 |  2 |   | |Figures/Tables |3 |  3 |   | |Discussion |3 |  3 |   | |Total |10 |  10 |   |

A History Of The Early Assertion Of free essay sample

Judicial Power Essay, Research Paper A History of the Early Assertion of Judicial Power Once upon a clip there were several work forces be aftering out the best manner to split the power in a fledgeling new state. Some of them wanted one large power, and others wanted three smaller 1s where the power was approximately every bit divided. Finally they went with the thought of the three powers and everyone appeared to be comparatively content with that. However, the two bigger and? more of import? powers, the Executive and Legislative, started acquiring rather power-hungry and manner excessively large. The smaller, last power, the Judicial, started acquiring a small spot covetous of the other two # 8211 ; until a adult male by the name of John Marshall and his friends, the Federalists, got ahold of Judicial and turned everything about. The Constitution of the United States of America did non make much by manner of sketching the powers held by the Supreme Court. We will write a custom essay sample on A History Of The Early Assertion Of or any similar topic specifically for you Do Not WasteYour Time HIRE WRITER Only 13.90 / page Judicial power was the really last of the three chief subdivisions of authorities to be specified. In the early yearss of the Court? s power, it was left up to the justnesss to asseverate their power and flex their political musculuss. Particularly in the term of John Marshall was the judiciary power defined and enforced to put down the foundation for the tendencies in the Supreme Court still observed today. It was in the early yearss of America that the Court heard those instances which would foremost specify their judicial power. In 1803 it began with the instance of William Marbury v. James Madison. Harmonizing to the United States Constitution, the Supreme Court could take merely those instances of appellant legal power, which came on entreaties, the lone exclusion being those instances affecting foreign diplomats and embassadors. During Marbury v. Madison ( a instance of original legal power ) , Federalist John Marshall was the Chief Justice and Anti-Federalist Thomas Jefferson was the President. The instance revolved around Marbury # 8211 ; besides a Federalist # 8211 ; non having his committee to function as justness of the peace because James Madison, Jefferson? s Secretary of State, neer delivered it. Marshall knew that if he ordered the writ of mandamus to be issued, Jefferson? s disposal would merely take to disregard it. Therefore, he cutely planned his determination out, c ognizing that although in the short term it was an hurt to the Federalists, in the long tally it would assist asseverate the Court? s power and ability to accept or reject instances. Marshall claimed that the power to publish writs of mandamus exceeded the Court? s authorization, as spelled out by Article III of the Constitution. Jefferson realized the deductions of the Court? s new invented power, although he had won this particualr instance. This determination helped to do the Court the concluding authorization on the significance of the Constitution and besides gave the Court authorization to make up ones mind on the constitutionality of the Acts of the Apostless of Congress. While before the power resided largely in the Executive and Legislative subdivisions, after Marbury v. Madison the Court was recognized as an equal spouse in authorities. When the Federalistic Framers of the Constitution drew in Section 10 of Article 1, they knew it would assist them continue one peculiar thing that was affectionately to their Black Marias: private belongings. This alleged? contract clause? was to a great extent enforced during Marshall? s term of office, as shown in the instances of Fletcher v. Peck in 1810 and the Trustees of Dartmouth College V. Woodward in 1819. Fletcher v. Peck involved public lands granted to private persons through graft, and the Court? s concluding determination ruled in favour of continuing the contract which seeded the land even though it was deceitful. Whether the contract was legal or non, Marshall? s Court wanted to acquire the message across that contracts are sacred and that the granting of land is a belongings right. The Dartmouth Case involved the college? s original charter, created in 1769, before the United States even existed, which the province of New Hampshire was seeking to alter so the college would be a public establishment instead than private. The concluding determination recognized the college as a private corporation and called for the protection of private corporations from province intercession under the contract clause. The balance of power that the Constitution was supposed to continue shifted greatly so that the national authorities held the most power after McCulloch v. Maryland in 1819. The Court? s determination asserted federal power by foregrounding the 10th Amendment and the Necessary and Proper Clause, Article 1 and Section 8. The former provinces that the powers non allotted to Congress travel to the States, and the latter says that Congress has the authorization to make anything necessary and proper to transport out its activities. The instance preferred national power over the provinces? power. Another province instance came along in 1821 with Cohens v. Virginia. It raised the inquiry of whether the Supreme Court besides has the power of judicial reappraisal over province instances. The Court decided that yes, they would wish to hold power over province instances every bit good. Their logical thinking was that it was non the parties involved but the issues, and whether those peculiar issues raised a inquiry of constitutionality. Article 1, Section 8 besides discusses the Interstate Commerce clause, which was enforced with Gibbons v. Ogden in 1824. Ogden had a monopoly on steamboats utilizing the Hudson River, an interstate waterway because it connects New York and New Jersey. The Court ruled that this interfered with congressional power regulating interstate commercialism as stated in the clause. Marshall used this determination to his advantage to reject the impression of provinces and the federal authorities being every bit powerful entities. The tendencies during the Marshall old ages called greatly for the undermining of the province? s powers, as shown in McCulloch v. Maryland, Cohens v. Virginia and Gibbons v. Ogden. These instances chiefly humiliated the single provinces and stretched the powers held by Congress. Besides another form was the protection of belongings. As stated before, Marshall and the framers of the Constitution were Federalists and called for the saving of private belongings and personal addition, and the contract clause was used every bit frequently as possible to profit those impressions. Particularly in the instance of Marbury v. Madison, one can see how cunning the Federalists were in seeking to advance their thoughts, taking into consideration that Marshall elected to non holding Marbury have his committee so that finally it would be to Marshall? s benefit and the disadvantage of Jefferson and the Democratic-Republicans. Most of his determinations circulated around being advantageous to the Federalists and switching power more toward the national authorities, another Federalist end. Bibliography No bibliography.

VCR Vs. DVD Essays - Video Hardware, Videotape, Consumer Electronics

VCR Vs. DVD Essays - Video Hardware, Videotape, Consumer Electronics VCR vs. DVD INTRODUCTION This report will strive to clearly discern the differences between the average home Video Cassette Recorder (VCR) and the recently developed Digital Video Disc (DVD) system. These two home entertainment components have very clear differences. It is important for consumers to carefully consider each of these concerns before deciding on the home entertainment component that is right for them. When considering the purchase of a home VCR or DVD system, consumers should carefully examine the varying costs of the two components. If cost is a concern, consumers should pay special attention to the purchase price of both systems, as well as the cost of movies and maintenance. A second consideration of consumers when choosing between VCR and DVD should be the video and audio quality. Various technical factors can alter the quality of both picture and sound in both of these systems, making picture and audio quality a major consideration when shopping for home entertainment components. A final consideration that consumers should give special attention is the accessibility of the systems. In today?s growing entertainment market, the difficulty in accessing video and DVD movies can play a large part in the decision of which component is right for the consumer. METHODS The beginning of any research project is in the decision of a topic to research. I chose to research the differences between the VCR and DVD home entertainment systems because the intricacies of the systems and the ways in which they work greatly interest me. I began my work using ordinary encyclopedias, found in the Rosewood High School branch of the Wayne County Public Library. Due to the technical nature of my topics, there was very little information in the encyclopedias dealing with these topics. While I did receive some information on the background of home entertainment systems, especially the VCR, most of my research had to be found from other sources. I continued my research into the differences between these two systems, using the Microsoft Encarta Multimedia Encyclopedia. Through this source, I discovered a great deal of information on how the VCR works. However, little information was to be found on the DVD home entertainment system. For this information, I was forced to search the Internet, where a wealth of information exists. After a general search for DVD, I found several web sights discussing the pros and cons of DVD, as well as the intricacies of how it operates. After making notes of all of the information I had gathered, I proceeded to sort the notes into separate groups dealing with the VCR and DVD. This made it much easier to group my notes into feasible arguments for and against each system, as well as easing the process of making a final decision on the value of each system. At this point in the process, it was necessary to draw my final conclusions, and begin work on the composition of the paper. After completing this phase of the process, all that will be left is to prepare for the presentation of my information and conclusions. RESULTS/DISCUSSION Today, there are two main options of video components in a home entertainment system. The Video Cassette Recorder (VCR) and the Digital Video Disc (DVD) player are both positive additions to any home entertainment system. Both systems offer benefits and disadvantages to their users, and both should be carefully examined before a final decision is made on which one a consumer should purchase. The VCR was first developed in the 1950?s, but did not become a part of the average home entertainment system until the 1980?s, when the machines became much more affordable for the average household. The VCR uses ordinary video cassettes, measuring approximately four inches by seven inches, containing yards of video tape inside. This video tape is little more than a plastic strip covered with particles of iron oxide. This strip is recorded on by changing the television signals used to broadcast programs into magnetic fields, which magnetize the particles of iron oxide into patterns. The tape is played back by converting the magnetic patterns on the tape back into television signals. Many VCRs today use a form of recording and playback known as helical scan. In helical scan, one or two record/playback heads are mounted on the circumference

Anthropocentrism and Environmental Ethics & Preservation of Nature Essay

Anthropocentrism and Environmental Ethics & Preservation of Nature Gaia - Essay Example The biosphere produces just the right temperature for the earth. The mechanism for the stability of the temperature on earth is sustained by biological components. Everything works together in synergy (Lovelock, 1979). The Gaia theory may imply that our world is fragile – that, because the harmony of the living things on this world is what continues to sustain the earth, if there is an imbalance caused by man’s plunder, then the earth may cease to exist. But Lovelock (1979) has a different idea about this. Gaia is robust, which means that life will always exist in some form, even if the life forms on earth are reduced to ants and algae. Nevertheless, whether or not man can survive an upset in the ecosystem is another story – man destroys large swaths of the rainforest and the oceans, which, in turn, means that trillions of micro-organisms which are necessary for the stability of the composition of the atmosphere are endangered. Yet our earth has sustained severe injury in the past – such as the accumulation of corrosive and toxic gas oxygen two billion years ago – and survived it (Grey, 1980). Because Gaia is predicated upon the synergy of all living things, in spite of what Lovelock (1979) states about the robustness of the theory of Gaia, it still appears that there needs to be a certain synergy for human life to exist. Life, in some form, may always exist on this planet, and certainly, if humans destroy the ecosystem to the point where the earth becomes uninhabitable for the human species, and we die out, then the less complex life forms will repopulate – there would be no humans left to plunder the earth. However, this, of course, is not ideal, because it would mean our extinction. Therefore, there is a need for a different environmental ethic than the one that we have – according to Sylvan (1973), the dominant Western ethic is that the world is ours to spoil. Yet, life affects the regulation of the earthâ₠¬â„¢s system (Lenton, 2002). This is important, because regulation is essential for persistence of systems – systems which are unregulated tend not to survive, whereas regulated systems do survive. Lenton (2002) posits that there are biotic effects which might push our earth towards the boundaries of tolerability, beyond which life would not be sustainable. When this occurs, Mother Nature tends to push back. Our species is disruptive to the delicate Gaia, and this might result in a change in the Earth that would not be beneficial for the human race, but might be beneficial to the Earth as a whole. For instance, according to Lenton (2002), some 2 billion years ago, atmospheric oxygen rose, which was considered to be a catastrophe. However, while this change killed off much of the existing life during this period of time, it opened the door for new life – the obligate anaerobes were affected detrimentally, but other life forms were able to emerge. Conclusion It appears t hat we must have more respect for nature and what we are doing which might affect our delicate ecosystem. Our Western ethos sticks to the belief that nature is here for our disposal: the rainforest exists for us to cut down the trees, animals exist for us to kill, and our natural resources exist for us to use. Gaia theory provides the incentive to not do this as much. If we chop down the rainforest, then, not only will we have fewer trees, but the species that live in the rainforest