On Detecting Systematic Measurement Error in Cross-Cultural Research: A Review and Critical Reflection on Equivalence and Invariance Tests

One major threat to revealing cultural influences on psychological states or processes is the presence of bias (i.e., systematic measurement error). When quantitative measures are not targeting the same construct or they differ in metric across cultures, the validity of inferences about cultural var...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of cross-cultural psychology Ročník 49; číslo 5; s. 713 - 734
Hlavní autori: Boer, Diana, Hanke, Katja, He, Jia
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Los Angeles, CA SAGE Publications 01.06.2018
SAGE PUBLICATIONS, INC
Predmet:
Bias
Content analysis
Cross Cultural Studies
Cross-cultural psychology
Cultural differences
Cultural factors
Cultural Influences
Cultural studies
Developmental Psychology
Equivalence
Equivalency Tests
Error of Measurement
Inferences
Measurement
Measurement errors
Paradigms
Penetration
Psychological assessment
Psychological processes
Psychology
Quantitative analysis
Resistance (Psychology)
Social psychology
Variability
measurement error
invariance
cross-cultural comparability
bias
ISSN:0022-0221, 1552-5422
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:One major threat to revealing cultural influences on psychological states or processes is the presence of bias (i.e., systematic measurement error). When quantitative measures are not targeting the same construct or they differ in metric across cultures, the validity of inferences about cultural variability (and universality) is in doubt. The objectives of this article are to review what can be done about it and what is being done about it. To date, a multitude of useful techniques and methods to reduce or assess bias in cross-cultural research have been developed. We explore the limits of invariance/equivalence testing and suggest more flexible means of dealing with bias. First, we review currently available established and novel methods that reveal bias in cross-cultural research. Second, we analyze current practices in a systematic content analysis. The content analysis of more than 500 culture-comparative quantitative studies (published from 2008 to 2015 in three outlets in cross-cultural, social, and developmental psychology) aims to gauge current practices and approaches in the assessment of measurement equivalence/invariance. Surprisingly, the analysis revealed a rather low penetration of invariance testing in cross-cultural research. Although a multitude of classical and novel approaches for invariance testing is available, these are employed infrequent rather than habitual. We discuss reasons for this hesitation, and we derive suggestions for creatively assessing and handling biases across different research paradigms and designs.
Bibliografia:ObjectType-Article-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-3
ObjectType-Evidence Based Healthcare-1
ISSN:0022-0221
1552-5422
DOI:10.1177/0022022117749042