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Developing Cross-Cultural Measurement in Social Work Research and Evaluation$
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Thanh Tran, Tam Nguyen, and Keith Chan

Print publication date: 2017

Print ISBN-13: 9780190496470

Published to Oxford Scholarship Online: February 2018

DOI: 10.1093/acprof:oso/9780190496470.001.0001

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Assessing and Testing Cross-Cultural Measurement Equivalence

Assessing and Testing Cross-Cultural Measurement Equivalence

Chapter:
(p.43) 4 Assessing and Testing Cross-Cultural Measurement Equivalence
Source:
Developing Cross-Cultural Measurement in Social Work Research and Evaluation
Author(s):

Thanh V. Tran

Tam Nguyen

Keith Chan

Publisher:
Oxford University Press
DOI:10.1093/acprof:oso/9780190496470.003.0004

A cross-cultural comparison can be misleading for two reasons: (1) comparison is made using different attributes and (2) comparison is made using different scale units. This chapter illustrates multiple statistical approaches to evaluating the cross-cultural equivalence of the research instruments: data distribution of the items of the research instrument, the patterns of responses of each item, the corrected item–total correlation, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and reliability analysis using the parallel test and tau-equivalence test. Equivalence is the fundamental issue in cross-cultural research and evaluation.

Keywords:   cross-cultural reliability, cross-cultural validity, measurement equivalence, exploratory factor analysis, confirmatory factor analysis, multigroup confirmatory factor analysis

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