Importance Of Baseline Survey

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Register to read the introduction… Statistical sampling basically seeks to select a sample of cases in such a way that it is possible to guarantee in advance that the sample will be representative of the entire population. The rule in sampling is that the degree to which representativeness can be guaranteed depends on the absolute number of cases in the sample A general rule of thumb is that the larger the number of cases in a sample, the greater the guaranteed representativeness. However, this general rule is conditioned by two other factors. First, the degree of representativeness of a sample does not increase proportionately as the size of a sample increases. That is, in an infinite population, assuming that 95 times out of 100 the sample accurately represents the population, a simple random sample of 196 yields a 7 per cent probable error, a sample of 384 yields a 5 per cent probable error, a sample of 600 yields a 14 per cent probable error, a sample of 1,061 yields a 3 per cent probable error and only with 9,604 cases can one achieve a 1 per cent probable error (AuSAID 2003 chap. 4). Thus, as sample size increases, each additional case contributes proportionately less to the reduction of probable error. There is, of course, a minimum sample size required for any given level of data …show more content…
maxiwel.syr .edu/intleval/readings/ chapter6a-f htm:Evaluation of international projects
-www. Htm: Bridging gap: A guide to Monitoring and Evaluation Projects
-Schrevel’s 2002 paper on The Socio-Economic Baseline Survey focuses on how to conduct a survey in a rural development setting.
-Richard F. Carter, "Communication and effective relations", Journalism Quarterly 5 (1965), pp. 202 212; Milton Rokeach, "Attitude change and behaviour change", Public Opinion Quarterly 30 (1966), pp. 529 550, and John R. Mathiason, "Patterns of powerlessness among urban poor: towards the use of mass communications for rapid social change", Studies in Comparative International Development, vol. 7 (spring 1972), pp. 64-84.
- Frank M. Andrews, "Social indicators and socioeconomic development', Journal of Developing Areas vol. 8, No. 1 (October 1973), pp. 3 12.
3.Other sources:
-William G. Cochran, Sampling Techniques (New York, John Wiley and Sons, 1953) and A Short Manual on Sampling Vol. I. Elements of Sample Survey Theory (United Nations publication, Sales No. E.72.XVII.5). Charles Backstrom and Gerald Hursch, Survey Research (Evanston, Illinois, Northwestern University Press, 1963), pp. 32

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