Related Experiment Video
Updated: Jan 4, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
Published on: September 27, 2019
Using cultural and structural indicators to explain measurement noninvariance in gender role attitudes with
1University of Cologne, Faculty of Management, Economics and Social Sciences, Institute of Sociology and Social Psychology, Albertus-Magnus-Platz, 50923, Cologne, Germany.
Abstract:
The current study explores the reasons for noninvariance of the measurements of gender role attitudes across countries. While previous studies have shown that noninvariance is a problem for comparative research and pointed out methods to alleviate the risks of drawing invalid conclusions, none has so far tried to explain why measurements of gender role attitudes are nonequivalent. Therefore, we use multilevel structural equation modeling to exploring measurement invariance and explain its absence. We use data assessing peoples' views on the specialization of roles by gender and the consequences of female employment on family's well-being from the International Social Survey Programme. We can replicate the findings from prior research indicating that scalar measurement invariance across countries is absent. Furthermore, we use two country-level variables to explain the noninvariance of particular items. The cultural value embeddedness explains noninvariance to a considerable degree while the Gender Inequality Index from the United Nations Development Programme does not. Therefore, we conclude that issues of comparability of gender role attitudes are related mainly to cultural rather than structural differences between countries.
More Related Videos
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
07:40Validation of a Psychosocial Intervention on Body Image in Older People: An Experimental Design
Published on: May 31, 2021
Related Concept Videos
Socioemotional Experience and Gender Development
Two-Way ANOVA
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
The Role of Culture
Friedman Two-way Analysis of Variance by Ranks
Ordinal Level of Measurement
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks...
Stereotypes, Prejudice, and Discrimination