A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes

Autor/inn/en	Erps, Ryan C.; Noguchi, Kimihiro
Titel	A Robust Test for Checking the Homogeneity of Variability Measures and Its Application to the Analysis of Implicit Attitudes
Quelle	In: Journal of Educational and Behavioral Statistics, 45 (2020) 4, S.403-425 (23 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Noguchi, Kimihiro)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998619883874
Schlagwörter	Statistical Analysis; Comparative Analysis; Robustness (Statistics); Sample Size; Reaction Time; Association Measures; Social Attitudes; Scores; Gender Differences; LGBTQ People; Males + Suchen Sie Ihr Suchwort? Statistische Analyse; Widerstandsfähigkeit; Reaktionsvermögen; Social attidude; Soziale Einstellung; Geschlechterkonflikt; Male; Männliches Geschlecht
Abstract	A new two-sample test for comparing variability measures is proposed. To make the test robust and powerful, a new modified structural zero removal method is applied to the Brown-Forsythe transformation. The t-test-based statistic allows results to be expressed as the ratio of mean absolute deviations from median. Extensive simulation study demonstrates that the proposed test is robust to small or unequal sample sizes across many distributions. Moreover, careful exploratory analysis provides a new method for calculating the implicit association test scores for reaction time data with multiplicative treatment effects. Using this, a possible difference between variability of men and women's implicit attitudes toward gay men is analyzed. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01