The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
THEORY TESTING: COMBINING PSYCHOMETRIC META‐ANALYSIS AND STRUCTURAL EQUATIONS MODELING
Abstract
This paper presents an overview of a useful approach for theory testing in the social sciences that combines the principles of psychometric meta‐analysis and structural equations modeling. In this approach to theory testing, the estimated true score correlations between the constructs of interest are established through the application of meta‐analysis (Hunter & Schmidt, 1990), and structural equations modeling is then applied to the matrix of estimated true score correlations. The potential advantages and limitations of this approach are presented. The approach enables researchers to test complex theories involving several constructs that cannot all be measured in a single study. Decision points are identified, the options available to a researcher are enumerated, and the potential problems as well as the prospects of each are discussed.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“We computed harmonic mean sample size (Viswesvaran & Ones, 1995) when conducting hierarchical multiple regression analyses because sample sizes differed across the cells in the meta-analytically derived correlation matrices.Computing harmonic mean sample size will yield more conservative estimates because less weight is given to large samples (Garrett, Miao, Qian, & Bae, 2017;Miao, Coombs, Qian, &”
From A cross-cultural meta-analysis of how leader emotional intelligence influences subordinate task performance and organizational citizenship behavior (2018) · cites this paper as Viswesvaran & Ones, 1995
In the citing paper
“A major advantage of this technique is that not all relationships specified by the theory need to be examined in each primary study, as the population correlations required can be meta-analytically computed (Joseph et al. 2007; Viswesvaran and Ones 1998).”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Viswesvaran and Ones 1998
In the citing paper
“Prior literature suggests various possibilities such as using the minimum sample size, average sample size and harmonic mean sample size (e.g., Tett and Meyer 1993; Viswesvaran and Ones 1998).”
From Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model (2019) · cites this paper as Viswesvaran and Ones 1998
Citations
Cites
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Research in Organizational Behavior.
Grimes, A. J., Cummings, L. L., & Staw, B. M. (1986) · Administrative Science Quarterly · doi:10.2307/2392975 · Cited by 11,303
Handbook of industrial and organizational psychology
(1993) · Choice Reviews Online · doi:10.5860/choice.30-5278 · Cited by 5,483
Statistical Analysis With Missing Data
Ghosh, S., Little, R. J. A., & Rubin, D. B. (1988) · Technometrics · doi:10.2307/1269814 · Cited by 4,730
Essentials of Psychological Testing
Rosner, B., & Cronbach, L. J. (1960) · The American Journal of Psychology · doi:10.2307/1419921 · Cited by 4,524
Cohen, J. (1994) · American Psychologist · doi:10.1037/0003-066x.49.12.997 · Cited by 4,003
Methods of Meta-Analysis: Correcting Error and Bias in Research Findings.
Raudenbush, S. W., Hunter, J. E., & Schmidt, F. L. (1991) · Journal of the American Statistical Association · doi:10.2307/2289738 · Cited by 2,368
Meta-analysis of psychotherapy outcome studies.
Smith, M. L., & Glass, G. V. (1977) · American Psychologist · doi:10.1037/0003-066x.32.9.752 · Cited by 2,154
Lipsey, M. W., & Wilson, D. B. (1993) · American Psychologist · doi:10.1037/0003-066x.48.12.1181 · Cited by 2,033
Personnel Selection in Organizations
Murphy, K. R., Schmitt, N., & Borman, W. C. (1993) · Academy of Management Review · doi:10.2307/258598 · Cited by 1,646
Research works printed but not linked: 9
- Bentler PM, 1989, Theory and implementation of EQS: A structural equations program [Computer software]
- Burke MJ, 1994, An empirical estimation of the effect of second order sampling error on ASVAB‐training proficiency validity estimates
- Jensen AR, 1980, Bias in mental testing
- Jöreskog KG, 1986, LISREL 6 user's guide: Analysis of linear shuctural relationships by the method of muximum likelihood
- Nunnally JC, 1978, Psychometric theory
- Oakes M., 1986, Statistical inference: A commentary for the social and behavioral sciences
- OnesDS. (1993).The construct validity of integriy tests. Unpublished doctoral dissertation University of Iowa Iowa City.
- SchmidtFL. (in press).Quantitative methods and cumulative knowledge in psychology: Implications for the training of researchers.Psychological Methods.
- SchmidtFL HunterJE. (in press).Measurement error in industrial/organizational psychology research: Lessons from 26 research scenarios.Psychological Methods.
Cited by
Sorted by citations
Items 901–929 of 929
Düzen, A., Landi, G., Bilici, Z. Ş., Pakenham, K. I., Oort, F. J., Jak, S., Agostini, F., Grandi, S., & Tossani, E. (2025) · Psychology and Health · doi:10.1080/08870446.2025.2546409
Oh, I., Le, H., & Schmidt, F. L. (2025) · Personnel Psychology · doi:10.1111/peps.70001 · Cited by 1
Sharpe, D. (2025) · Springer eBooks · doi:10.1007/978-3-031-70581-6_184-1
Fang, J., Liu, H., Lin, X., Lin, K., Li, X., Jia, Y., Yang, X., Liu, H., & Zhang, R. (2025) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2025.112470 · Cited by 1
Jiang, F., Wang, Z., Tang, N., & Ma, Q. (2025) · Journal of Occupational and Organizational Psychology · doi:10.1111/joop.70066
Motivation for weight management behaviours : a self-determination theory perspective
Ng, Y. Y. J. (2013) · University of Birmingham Institutional Research Archive (University of Birmingham)
Rowold, J., Brinkhaus, D., & Diebig, M. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5692454
Ge, C., Li, X., Li, J., & Yang, C. (2026) · BMC Psychology · doi:10.1186/s40359-025-03915-2 · Cited by 2
Zhang, D. C., Reeves, K., Stark, H. P., & Cowley, T. (2026) · Journal of Business and Psychology · doi:10.1007/s10869-026-10102-6 · Cited by 1
Unpacking the Nature of Passion in Entrepreneurship: A Meta-Analytical Sem StudyPreprint
Naumann, V., Steinmetz, H., Tomin, S., Gielnik, M. M., & Lindberg, S. (2025) · SSRN Electronic Journal · doi:10.2139/ssrn.5343603
de Jonge, H., Fernández-Castilla, B., Jak, S., & Kan, K. (2026) · Behavior Research Methods · doi:10.3758/s13428-025-02928-4
Rôle de l’acceptabilité dans l’interaction entre un véhicule conventionnel et un véhicule automatisé
Pottier, G. (2020) · theses.fr (ABES) · doi:10.70675/93ac0316z1d1bz4a77zb811za63aa5f8d98e
Chen, Y., & Chen, Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1788980 · Cited by 2
Liang, R. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1806615
A META-ANALYSIS OF AUTONOMOUS AND CONTROLLED FORMS OF TEACHER MOTIVATIONPreprint
Field, J. G., & Slemp, G. R. (2020) · OSF Preprints (OSF Preprints)
Rauch, A., Fresé, M., & Tabilo, M. (2026) · Foundations and Trends® in Entrepreneurship · doi:10.1108/ftent-02-2025-0131
Employing Meta-Analysis to Build Validity Evidence in Personnel Selection
Wee, S. (2026) · Oxford University Press eBooks · doi:10.1093/9780197809013.003.0009
Sinha, R., Annamdevula, S., Teeli, A. A., Suresh Babu, S. V. N., & Patel, K. (2026) · European Business Review · doi:10.1108/ebr-03-2025-0097 · Cited by 1
Xu, B., Ang, J., Ni, X., & Zhao, L. (2026) · Interactive Learning Environments · doi:10.1080/10494820.2026.2697041
Confidence, trust, and interest alignment in marketing relationships: a meta-analytic synthesis
Scheer, L. K., Kim, S., Zhu, F., & Slot, J. H. (2026) · Journal of Business Research · doi:10.1016/j.jbusres.2026.116428
Li, M., Chen, R., Blut, M., Yuan, R., & Huang, B. (2026) · Journal of Retailing · doi:10.1016/j.jretai.2026.08.003
Guidelines for Meta‐Analytic Structural Equation Modeling: Steps, Resources, and Illustrations
Waheed, H., & Lim, W. M. (2026) · Psychology and Marketing · doi:10.1002/mar.70266
Dang, J. (2026) · Advances in Methods and Practices in Psychological Science · doi:10.1177/25152459261466637
Yao, Y., Sun, X., He, J., Qi, Y., & Li, G. (2026) · Frontiers in Public Health · doi:10.3389/fpubh.2026.1950356
Zhou, C., Li, J., Shu, R., Zhou, L., & Li, M. (2026) · Asia Pacific Journal of Management · doi:10.1007/s10490-026-10189-8
Sun, T., Laceulle, O. M., Denissen, J. J. A., & Schuiringa, H. D. (2026) · European Journal of Personality · doi:10.1177/08902070261491994
Kura, K. M., Raimi, L., Ibrahim, N. A., Mashi, M. S., & Shuaibu, H. (2026) · Work · doi:10.1177/10519815261492674
Metadata
- Authors
- VISWESVARAN, C., & ONES, D. S.
- Affiliations
- Florida International University (US)
- Corresponding author
- VISWESVARAN, CHOCKALINGAM
- Venue
- Personnel Psychology
- Publisher
- Wiley
- Published
- 1995-12
- Volume
- 48
- Issue
- 4
- Pages
- 865-885
- ISSN
- 0031-5826 (ISSN-L)
- 1744-6570
- OpenAlex
- W2051295428
- Cited by
- 926
- References
- 50
- Citations by year
- 2026: 34 · 2025: 42 · 2024: 46 · 2023: 42 · 2022: 66 · 2021: 46 · 2020: 49 · 2019: 48 · 2018: 45 · 2017: 58 · 2016: 45 · 2015: 51 · 2014: 45 · 2013: 36 · 2012: 36
- FWCI
- 7.66
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Personnel Psychology (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- theory testing, structural equation modeling, complex theory
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
