Analysis of Paired Dichotomous Data: A Gentle Introduction to the McNemar Test in SPSS

Autor/inn/en	Adedokun, Omolola A.; Burgess, Wilella D.
Titel	Analysis of Paired Dichotomous Data: A Gentle Introduction to the McNemar Test in SPSS
Quelle	In: Journal of MultiDisciplinary Evaluation, 8 (2012) 17, S.125-131 (7 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1556-8180
Schlagwörter	Statistical Analysis; Test Items; Pretests Posttests; Hypothesis Testing; Computer Software; Science Tests; Grade 6; Elementary School Students + Suchen Sie Ihr Suchwort? Statistische Analyse; Test content; Testaufgabe; Hypothesenprüfung; Hypothesentest; School year 06; 6. Schuljahr; Schuljahr 06
Abstract	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. (Contains 2 figures, 1 footnote, and 3 tables.) (As Provided).
Anmerkungen	Evaluation Center, Western Michigan University. 1903 West Michigan Avenue, Kalamazoo, MI 49008-5237. Tel: 269-387-5906; Fax: 269-387-5923; e-mail: eval-center@wmich.edu; Web site: http://www.jmde.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10