Week 6 sampling and sample size
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This document discusses key concepts related to sampling and determining sample size, including population, sampling frame, sampling techniques, sample size determination, and factors that influence response rates such as incentives, questionnaire design, and follow-up. Probability and non-probability sampling techniques are covered as well as how to calculate an appropriate sample size based on the desired level of precision, confidence level, and confidence interval.
Week 6 sampling and sample size
- 1. Prior notification Sampling Motivating respondents Population Incentives Terms Sampling frame Questionnaire design and administration Reducing refusals Improving Response Rates Population element Follow-up Other facilitators Census Callbacks Reducing Not-at-Home Lower cost Greater accuracy Why sample The rate of occurrence or the Greater speed percentage, of persons eligible to participate in the study Availability of elements Incidence rate Adjusting the statistically determined sample size SAMPLING & SAMPLE SIZE Final sample size / (incidence Define population rate*completion rate) Initial sample rate Determine sampling frame Sampling design process Select sampling technique(s) The desired size of the estimating interval Determine sample size Precision level The range into which the true population parameter will fall, Convenience Sampling assuming a given level of confidence Sample Size Determination Judgmental Sampling Confidence interval Non-probability ST Quota Sampling The probability that a confidence interval will include the population parameter Snowball Sampling Confidence level Sampling Techniques (ST) Simple Random Sampling Systematic Sampling Stratified Sampling Probability ST Cluster Sampling Others week 6 Sampling and sample size-1 RE.mmap - 07/04/2011 - Mindjet