Analysis of Paired Dichotomous Data: A Gentle Introduction to the McNemar Test in SPSS
Background: Although McNemar Test is the most appropriate tool for analyzing pre-post differences in dichotomous items (e.g., "yes" or "no", "correct" or "incorrect", etc.), many scholars have noted the inappropriate use of Pearson's Chi-square Test by re...
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| Main Authors: | , |
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| Format: | Book |
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The Evaluation Center at Western Michigan University,
2011-12-01T00:00:00Z.
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| Summary: | Background: Although McNemar Test is the most appropriate tool for analyzing pre-post differences in dichotomous items (e.g., "yes" or "no", "correct" or "incorrect", etc.), many scholars have noted the inappropriate use of Pearson's Chi-square Test by researchers, including social scientists and evaluators, for the analysis of related or dependent dichotomous variables. Purpose: The goal of this paper is to promote the use of McNemar Test among evaluators by providing a gentle introduction to the method. Setting: Not applicable. Intervention: Not applicable. Research Design: Not applicable. Data Collection and Analysis: Using data from 506 6th grade students' responses to a pre-post science test; this contribution illustrates how to conduct McNemar Test in SPSS.. Findings: This contribution provides a non-technical introduction to McNemar test and illustrates its use in an applied research/evaluation context. Keywords: McNemar Test; paired dichotomous data; Chi-square test; equality of proportions. |
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| Item Description: | 10.56645/jmde.v8i17.336 1556-8180 |