The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Assessing Extreme and Acquiescence Response Sets in Cross-Cultural Research Using Structural Equations Modeling
Abstract
Extreme response styles (ERS) and acquiescence response styles (ARS) may constitute important sources of cross-cultural differences on survey-type instruments. Differences in ERS and ARS, if undetected, may give rise to spurious results that do not reflect genuine differences in attitudes or perceptions. Multiple-group confirmatory factor analysis is recommended as the most effective method of testing for ERS and ARS and determining whether cultural groups can be meaningfully compared on the basis of factor (latent) means. A detailed numerical example is provided.
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Cites
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Structural model evaluation and modification: An interval estimation approach
Steiger, J. H. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_4 · Cited by 7,408
Measurement Invariance, Factor Analysis and Factorial Invariance
Meredith, W. (1993) · Psychometrika · doi:10.1007/bf02294825 · Cited by 4,536
Diagnosing measurement equivalence in cross-national research.
Mullen, M. R. (1995) · Journal of International Business Studies · doi:10.1057/palgrave.jibs.8490187 · Cited by 863
Structural equation modelling in perspective
Kelloway, E. K. (1995) · Journal of Organizational Behavior · doi:10.1002/job.4030160304 · Cited by 495
Cited by
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
Cheung, G. W., & Rensvold, R. B. (2002) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0902_5 · Cited by 16,280
Self-citationSchmitt, D. P., & Allik, J. (2005) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.89.4.623 · Cited by 1,665
Antonakis, J., Avolio, B. J., & Sivasubramaniam, N. (2003) · The Leadership Quarterly · doi:10.1016/s1048-9843(03)00030-4 · Cited by 1,533
Schmitt, D. P., Realo, A., Voracek, M., & Allik, J. (2008) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.94.1.168 · Cited by 1,391
Chirkov, V., Ryan, R. M., Kim, Y., & Kaplan, U. (2003) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.84.1.97 · Cited by 1,425
Schmitt, D. P., Allik, J., McCrae, R. R., & Benet-Martínez, V. (2007) · Journal of Cross-Cultural Psychology · doi:10.1177/0022022106297299 · Cited by 1,222
Measuring the self-stigma associated with seeking psychological help
Vogel, D. L., Wade, N. G., & Haake, S. (2006) · Journal of Counseling Psychology · doi:10.1037/0022-0167.53.3.325 · Cited by 1,190
Chen, F. F. (2008) · Journal of Personality and Social Psychology · doi:10.1037/a0013193 · Cited by 962
Sass, D. A. (2011) · Journal of Psychoeducational Assessment · doi:10.1177/0734282911406661 · Cited by 531
Leader–member exchange (LMX) and culture: A meta-analysis of correlates of LMX across 23 countries
Rockstuhl, T., Dulebohn, J. H., Ang, S., & Shore, L. M. (2012) · Journal of Applied Psychology · doi:10.1037/a0029978 · Cited by 477
NEO-PI-R Data from 36 Cultures
McCrae, R. R. (2002) · The Five-Factor Model of Personality Across Cultures · doi:10.1007/978-1-4615-0763-5_6 · Cited by 375
How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible
Stantcheva, S. (2023) · Annual Review of Economics · doi:10.1146/annurev-economics-091622-010157 · Cited by 354
Levesque, C., Zuehlke, A. N., Stanek, L. R., & Ryan, R. M. (2004) · Journal of Educational Psychology · doi:10.1037/0022-0663.96.1.68 · Cited by 305
The Chinese classroom paradox: A cross-cultural comparison of teacher controlling behaviors.
Zhou, N., Lam, S.-F., & Chan, K. C. (2012) · Journal of Educational Psychology · doi:10.1037/a0027609 · Cited by 191
Methodological and Substantive Issues in Conducting Multinational and Cross-Cultural Research
Spector, P. E., Liu, C., & Sanchez, J. I. (2015) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-032414-111310 · Cited by 82
Hjemdal, O., Roazzi, A., Dias, M. D. G. B. B., & Friborg, O. (2015) · BMC Psychology · doi:10.1186/s40359-015-0076-1 · Cited by 78
Van de Vliert, E., Huang, X., & Parker, P. M. (2004) · Journal of Environmental Psychology · doi:10.1016/s0272-4944(03)00021-5 · Cited by 73
Sources of math and science self-efficacy in rural Appalachia: A convergent mixed methods study
Usher, E. L., Ford, C. J., Li, C. R., & Weidner, B. L. (2019) · Contemporary Educational Psychology · doi:10.1016/j.cedpsych.2018.10.003 · Cited by 73
Tsaousis, I., & Alghamdi, M. H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.896638 · Cited by 40
Participation in Team Sports and Alcohol and Marijuana Use Initiation Trajectories
Lisha, N. E., Crano, W. D., & Delucchi, K. L. (2014) · Journal of Drug Issues · doi:10.1177/0022042613491107 · Cited by 34
Metadata
- Authors
- Cheung, G. W., & Rensvold, R. B.
- Venue
- Journal of Cross-Cultural Psychology
- Publisher
- SAGE Publications
- Published
- 2000-03
- Volume
- 31
- Issue
- 2
- Pages
- 187-212
- ISSN
- 0022-0221 (ISSN-L)
- 1552-5422
- OpenAlex
- W2108806381
- Cited by
- 577
- References
- 6
- FWCI
- 16.98
- Type
- journal article
- Language
- en
- Open access
- closed
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