Chapter 2 Lecture

Chapter 2 Lecture - Part 2 Sampling Chapter 2 Sampling...

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Copyright Atomic Dog Publishing, 2005 Part 2 Sampling Chapter 2 Sampling
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Copyright Atomic Dog Publishing, 2005 External Validity The approximate truth of conclusions that involve generalizations The degree to which the conclusions in your study would hold for other persons in other places and at other times Two approaches: Sampling model Proximal Similarity Model
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Copyright Atomic Dog Publishing, 2005 The Sampling Model for External Validity
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Copyright Atomic Dog Publishing, 2005 The Proximal Similarity Model for External Validity
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Copyright Atomic Dog Publishing, 2005 External Validity Threats to external validity: People Places Times Improving external validity: Sampling Theory of proximal similarity Replication
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Copyright Atomic Dog Publishing, 2005 Sampling Terminology Population—the group to whom you wish to generalize Theoretical Accessible Sampling frame—the listing of the accessible population from which you’ll draw your sample Sample—the group of people you select to be in your study
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Copyright Atomic Dog Publishing, 2005 Who do you Who do you want to want to generalize to? generalize to? Sampling The theoretical The theoretical population population What population What population can you get can you get access to? access to? The study The study population population How can you How can you get access to get access to them? them? The sampling The sampling frame frame Who is in your Who is in your study? study? The sample The sample
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Copyright Atomic Dog Publishing, 2005 1 2 3 4 5 Response Response Statistical Terms in Sampling Variable Variable Statistic Statistic Parameter Parameter Self-esteem Self-esteem Average = 3.72 Average = 3.72 Average = 3.75 Average = 3.75 Sample Sample Population Population
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Copyright Atomic Dog Publishing, 2005 The Sampling Distribution How do you get from a sample statistic to an estimate of the population parameter? The distribution of an infinite number of samples of
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Chapter 2 Lecture - Part 2 Sampling Chapter 2 Sampling...

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