Editorial
Special issue on meta‐analytic structural equation modeling: introduction from the guest editors

Citing Literature
Number of times cited according to CrossRef: 14
- Hannelies de Jonge, Suzanne Jak, Kees-Jan Kan, Dealing With Artificially Dichotomized Variables in Meta-Analytic Structural Equation Modeling, Zeitschrift für Psychologie, 10.1027/2151-2604/a000395, 228, 1, (25-35), (2020).
- In-Sue Oh, Beyond Meta-Analysis: Secondary Uses of Meta-Analytic Data, Annual Review of Organizational Psychology and Organizational Behavior, 10.1146/annurev-orgpsych-012119-045006, 7, 1, (125-153), (2020).
- Corinne Post, Riikka Sarala, Caroline Gatrell, John E. Prescott, Advancing Theory with Review Articles, Journal of Management Studies, 10.1111/joms.12549, 57, 2, (351-376), (2020).
- Julian P T Higgins, José A López-López, Betsy J Becker, Sarah R Davies, Sarah Dawson, Jeremy M Grimshaw, Luke A McGuinness, Theresa H M Moore, Eva A Rehfuess, James Thomas, Deborah M Caldwell, Synthesising quantitative evidence in systematic reviews of complex health interventions, BMJ Global Health, 10.1136/bmjgh-2018-000858, 4, Suppl 1, (e000858), (2019).
- Hamed Qahri-Saremi, Ali Reza Montazemi, Factors Affecting the Adoption of an Electronic Word of Mouth Message: A Meta-Analysis, Journal of Management Information Systems, 10.1080/07421222.2019.1628936, 36, 3, (969-1001), (2019).
- Hongli Li, Jingxuan Liu, Charles Vincent Hunter, A Meta-Analysis of the Factor Structure of the Classroom Assessment Scoring System (CLASS), The Journal of Experimental Education, 10.1080/00220973.2018.1551184, (1-23), (2019).
- Mike W.‐L. Cheung, Some reflections on combining meta‐analysis and structural equation modeling, Research Synthesis Methods, 10.1002/jrsm.1321, 10, 1, (15-22), (2018).
- Ke-Hai Yuan, Yutaka Kano, Meta-Analytical SEM: Equivalence Between Maximum Likelihood and Generalized Least Squares, Journal of Educational and Behavioral Statistics, 10.3102/1076998618787799, 43, 6, (693-720), (2018).
- Colin E. Vize, Katherine L. Collison, Joshua D. Miller, Donald R. Lynam, Examining the Effects of Controlling for Shared Variance among the Dark Triad Using Meta‐analytic Structural Equation Modelling, European Journal of Personality, 10.1002/per.2137, 32, 1, (46-61), (2018).
- Zijun Ke, Qian Zhang, Xin Tong, Bayesian Meta-Analytic SEM: A One-Stage Approach to Modeling Between-Studies Heterogeneity in Structural Parameters, Structural Equation Modeling: A Multidisciplinary Journal, 10.1080/10705511.2018.1530059, (1-23), (2018).
- Suzanne Jak, Mike W.-L Cheung, Accounting for Missing Correlation Coefficients in Fixed-Effects MASEM, Multivariate Behavioral Research, 10.1080/00273171.2017.1375886, 53, 1, (1-14), (2017).
- Mike W.-L. Cheung, Ryan Y. Hong, Applications of meta-analytic structural equation modelling in health psychology: examples, issues, and recommendations, Health Psychology Review, 10.1080/17437199.2017.1343678, 11, 3, (265-279), (2017).
- Ke‐Hai Yuan, Meta analytical structural equation modeling: comments on issues with current methods and viable alternatives, Research Synthesis Methods, 10.1002/jrsm.1213, 7, 2, (215-231), (2016).
- Mei Yi Ng, Katherine A. DiVasto, Samantha Cootner, Nazc‐a‐ru Gonzalez, John R. Weisz, What do 30 years of randomized trials tell us about how psychotherapy improves youth depression? A systematic review of candidate mediators, Clinical Psychology: Science and Practice, 10.1111/cpsp.12367, 0, 0, (undefined).




