UMass Amherst PSYCH 241 - Exam 3 Study Guide (11 pages)

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Exam 3 Study Guide



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Exam 3 Study Guide

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Pages:
11
School:
University of Massachusetts Amherst
Course:
Psych 241 - Meth Inqry in Psych

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Nicole Manetta Study Guide Exam 3 Spring 2016 Methods of Inquiry Correlational Research Survey research Survey to examine or look at closely Census a survey of a population where EVERY member of the population is included in the survey data Questionnaire an instrument used to measure in a survey It is a set of predetermined questions asked of all respondents Sampling 1 Define your population of interest A population is the set of all cases of interest 2 Develop a sampling frame a physical list of all members of the population 3 Choose a technique for selecting a subset of members from the frame that will be representative of your population You want an unbiased sample Non probability sample A sampling procedure in which there is no way to estimate the probability of any specific element s inclusion in the sample Convenience Sample elements are selected based on availability and willingness to participate Snowball Sample Find one or two possible participants and then use these to locate others especially useful when the target population is not one where you can easily get a sampling frame Probability sample The probability of any particular element being included in the sample can be determined This does NOT mean each element has an EQUAL chance of inclusion Simple Random sample A probability sample where every element of the population has an equal chance of inclusion Must use a formal random method for selecting elements from the sampling frame Systematic sample rather than using a formal randomization process to select elements you use a systematic process such a choose every nth element from the list While not truly random unlikely to be biased Stratified sample A probability sample where you break the sampling frame into strata layers or categories and then sample from each strata Stratified Random sample Break frame into strata and randomly sample an equal number of participants from each strata Creates approximately equal group sizes so that you can use



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