A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling.

Cheung, Mike W.-L.

doi:10.1037/a0013163

Cited by 176Meta-analysis and systematic reviewsPsychometric Methodologies and TestingStatistical Methods and Bayesian Inference

A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling.

Cheung, Mike W.-L.·2008·Psychological Methods

DOI 10.1037/a0013163

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Abstract

Meta-analysis and structural equation modeling (SEM) are two important statistical methods in the behavioral, social, and medical sciences. They are generally treated as two unrelated topics in the literature. The present article proposes a model to integrate fixed-, random-, and mixed-effects meta-analyses into the SEM framework. By applying an appropriate transformation on the data, studies in a meta-analysis can be analyzed as subjects in a structural equation model. This article also highlights some practical benefits of using the SEM approach to conduct a meta-analysis. Specifically, the SEM-based meta-analysis can be used to handle missing covariates, to quantify the heterogeneity of effect sizes, and to address the heterogeneity of effect sizes with mixture models. Examples are used to illustrate the equivalence between the conventional meta-analysis and the SEM-based meta-analysis. Future directions on and issues related to the SEM-based meta-analysis are discussed.

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The authors used random-effects meta-analytic structural equation modeling as described by Cheung (2008).
“To produce the main estimates, we used random-effects metaanalytic structural equation modeling, as described by Cheung (2008).”
From How Much Does Education Improve Intelligence? A Meta-Analysis (2018) · cites this paper as Cheung, 2008

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Cheung, M. W. ‐. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01521 · Cited by 698 · see citing works
Self-citation
How Much Does Education Improve Intelligence? A Meta-Analysis
Ritchie, S. J., & Tucker-Drob, E. M. (2018) · Psychological Science · doi:10.1177/0956797618774253 · Cited by 680 · see citing works
“To produce the main estimates, we used randomeffects meta-analytic structural equation modelling, as described by Cheung (2008).”
Method
On Using Bayesian Methods to Address Small Sample Problems
McNeish, D. (2016) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2016.1186549 · Cited by 572 · see citing works
Narrowing the transmission gap: A synthesis of three decades of research on intergenerational transmission of attachment
Verhage, M. L., Schuengel, C., Madigan, S., Fearon, R. M. P., Oosterman, M., Cassibba, R., Bakermans-Kranenburg, M. J., & van IJzendoorn, M. H. (2016) · Psychological Bulletin · doi:10.1037/bul0000038 · Cited by 550 · see citing works
Genetic and environmental continuity in personality development: A meta-analysis.
Briley, D. A., & Tucker-Drob, E. M. (2014) · Psychological Bulletin · doi:10.1037/a0037091 · Cited by 435 · see citing works
Mind matters: A meta-analysis on parental mentalization and sensitivity as predictors of infant–parent attachment.
Zeegers, M. A. J., Colonnesi, C., Stams, G. J. J. M., & Meins, E. (2017) · Psychological Bulletin · doi:10.1037/bul0000114 · Cited by 431 · see citing works
Personality and physical activity: A systematic review and meta-analysis
Wilson, K. E., & Dishman, R. K. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.08.023 · Cited by 378 · see citing works
A Meta-Analysis of Interventions for Struggling Readers in Grades 4–12: 1980–2011
Scammacca, N. K., Roberts, G., Vaughn, S., & Stuebing, K. K. (2015) · Journal of Learning Disabilities · doi:10.1177/0022219413504995 · Cited by 372 · see citing works
Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship
Bergh, D. D., Aguinis, H., Heavey, C., Ketchen, D. J., Boyd, B., Su, P., Lau, C., & Joo, H. (2014) · Strategic Management Journal · doi:10.1002/smj.2338 · Cited by 362 · see citing works
Large Cross-National Differences in Gene × Socioeconomic Status Interaction on Intelligence
Tucker-Drob, E. M., & Bates, T. C. (2016) · Psychological Science · doi:10.1177/0956797615612727 · Cited by 359 · see citing works
“Cheung, Harden, and Tucker-Drob (2014) report that, in the NLSY data set, full siblings, compared with half siblings, were nearly twice as likely to be Caucasian and over twice as likely to have college-educated parents. We therefore decided that the NLSY kinship data were not appropriate for examining Gene × SES inte…”
Influential
The competition–performance relation: A meta-analytic review and test of the opposing processes model of competition and performance.
Murayama, K., & Elliot, A. J. (2012) · Psychological Bulletin · doi:10.1037/a0028324 · Cited by 351 · see citing works
Extensive Reading Interventions for Students With Reading Difficulties After Grade 3
Wanzek, J., Vaughn, S. R., Scammacca, N. K., Metz, K. L., Murray, C. S., Roberts, G., & Danielson, L. C. (2013) · Review of Educational Research · doi:10.3102/0034654313477212 · Cited by 285 · see citing works
Meta-analytic structural equation modeling with moderating effects on SEM parameters.
Jak, S., & Cheung, M. W. L. (2020) · Psychological Methods · doi:10.1037/met0000245 · Cited by 262 · see citing works
Self-citation
Debunking Myths and Urban Legends About Meta-Analysis
Aguinis, H., Pierce, C. A., Bosco, F. A., Dalton, D. R., & Dalton, C. M. (2010) · Organizational Research Methods · doi:10.1177/1094428110375720 · Cited by 261 · see citing works
A practical introduction to multivariate meta-analysis
Mavridis, D., & Salanti, G. (2013) · Statistical Methods in Medical Research · doi:10.1177/0962280211432219 · Cited by 255 · see citing works
Revisiting the role of the environment in the capabilities–financial performance relationship: A meta‐analysis
Karna, A., Richter, A., & Riesenkampff, E. (2015) · Strategic Management Journal · doi:10.1002/smj.2379 · Cited by 235 · see citing works
Phenomics: the systematic study of phenotypes on a genome-wide scale
Bilder, R. M., Sabb, F. W., Cannon, T. D., London, E. D., Jentsch, J. D., Parker, D. S., Poldrack, R. A., Evans, C. J., & Freimer, N. B. (2009) · Neuroscience · doi:10.1016/j.neuroscience.2009.01.027 · Cited by 234 · see citing works
Transformational leadership sub-dimensions and their link to leaders' personality and performance
Deinert, A., Homan, A. C., Boer, D., Voelpel, S. C., & Gutermann, D. (2015) · The Leadership Quarterly · doi:10.1016/j.leaqua.2015.08.001 · Cited by 231 · see citing works
Investigating clinical heterogeneity in systematic reviews: a methodologic review of guidance in the literature
Gagnier, J. J., Moher, D., Boon, H., Beyene, J., & Bombardier, C. (2012) · BMC Medical Research Methodology · doi:10.1186/1471-2288-12-111 · Cited by 222 · see citing works
Continuity of genetic and environmental influences on cognition across the life span: A meta-analysis of longitudinal twin and adoption studies.
Tucker–Drob, E. M., & Briley, D. A. (2014) · Psychological Bulletin · doi:10.1037/a0035893 · Cited by 222 · see citing works
Meta-Analyses of the Effects of Tier 2 Type Reading Interventions in Grades K-3
Wanzek, J., Vaughn, S. R., Scammacca, N. K., Gatlin, B., Walker, M. A., & Capin, P. (2015) · Educational Psychology Review · doi:10.1007/s10648-015-9321-7 · Cited by 218 · see citing works
The effect of team-based learning on content knowledge: A meta-analysis
Swanson, E. A., McCulley, L. V., Osman, D. J., Lewis, N. S., & Solis, M. R. (2017) · Active Learning in Higher Education · doi:10.1177/1469787417731201 · Cited by 216 · see citing works
Fixed- and random-effects meta-analytic structural equation modeling: Examples and analyses in R
Cheung, M. W. ‐. (2013) · Behavior Research Methods · doi:10.3758/s13428-013-0361-y · Cited by 207 · see citing works
Self-citation
Effects of Smartphone-Based Mobile Learning in Nursing Education: A Systematic Review and Meta-analysis
Kim, J. H., & Park, H. (2019) · Asian Nursing Research · doi:10.1016/j.anr.2019.01.005 · Cited by 196 · see citing works
Functional Disability in Mild Cognitive Impairment: A Systematic Review and Meta-Analysis
Lindbergh, C. A., Dishman, R. K., & Miller, L. S. (2016) · Neuropsychology Review · doi:10.1007/s11065-016-9321-5 · Cited by 191 · see citing works
A meta-analysis of longitudinal associations between substance use and interpersonal attachment security
Fairbairn, C. E., Briley, D. A., Kang, D., Fraley, R. C., Hankin, B. L., & Ariss, T. (2018) · Psychological Bulletin · doi:10.1037/bul0000141 · Cited by 182 · see citing works
Exercise and Insulin Resistance in Youth: A Meta-Analysis
Fedewa, M. V., Gist, N. H., Evans, E. M., & Dishman, R. K. (2013) · PEDIATRICS · doi:10.1542/peds.2013-2718 · Cited by 181 · see citing works
Explaining the Increasing Heritability of Cognitive Ability Across Development: A Meta-Analysis of Longitudinal Twin and Adoption Studies
Briley, D. A., & Tucker-Drob, E. M. (2013) · Psychological Science · doi:10.1177/0956797613478618 · Cited by 178 · see citing works
Conducting a meta-analysis: Basics and good practices
Cheung, M. W. ‐., Ho, R. C. M., Lim, Y., & Mak, A. (2012) · International Journal of Rheumatic Diseases · doi:10.1111/j.1756-185x.2012.01712.x · Cited by 172 · see citing works
Self-citation
How Leader Alignment of Words and Deeds Affects Followers: A Meta-analysis of Behavioral Integrity Research
Simons, T. L., Leroy, H., Collewaert, V., & Masschelein, S. (2014) · Journal of Business Ethics · doi:10.1007/s10551-014-2332-3 · Cited by 167 · see citing works
Effects of Resistance Training on Lower-Extremity Muscle Power in Middle-Aged and Older Adults: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Straight, C. R., Lindheimer, J. B., Brady, A. O., Dishman, R. K., & Evans, E. M. (2016) · Sports Medicine · doi:10.1007/s40279-015-0418-4 · Cited by 162 · see citing works
Customary physical activity and odds of depression: a systematic review and meta-analysis of 111 prospective cohort studies
Dishman, R. K., McDowell, C. P., & Herring, M. P. (2021) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-103140 · Cited by 162 · see citing works
A Two-Stage Approach to Synthesizing Covariance Matrices in Meta-Analytic Structural Equation Modeling
Cheung, M. W. ‐., & Chan, W. (2009) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510802561295 · Cited by 150 · see citing works
Self-citation
Change in Weight and Adiposity in College Students
Fedewa, M. V., Das, B. M., Evans, E. M., & Dishman, R. K. (2014) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2014.07.035 · Cited by 148 · see citing works
Successfully Combining Meta-analysis and Structural Equation Modeling: Recommendations and Strategies
Landis, R. S. (2013) · Journal of Business and Psychology · doi:10.1007/s10869-013-9285-x · Cited by 145 · see citing works
Third‐Party Logistics: A Meta‐Analytic Review and Investigation of its Impact on Performance
Leuschner, R., Carter, C. R., Goldsby, T. J., & Rogers, Z. S. (2013) · Journal of Supply Chain Management · doi:10.1111/jscm.12046 · Cited by 127 · see citing works
Does growth require suffering? A systematic review and meta-analysis on genuine posttraumatic and postecstatic growth.
Mangelsdorf, J., Eid, M., & Luhmann, M. (2019) · Psychological Bulletin · doi:10.1037/bul0000173 · Cited by 120 · see citing works
“Specifically, we applied a random-effects structural equation model (Cheung, 2008) which allowed us to use the Mplus cluster option (Type complex) to account for dependencies among effect sizes stemming from the same studies (see Luhmann et al., 2012 for a comparable statistical approach and the…”
Method
Quantifying the Placebo Effect in Psychological Outcomes of Exercise Training: A Meta-Analysis of Randomized Trials
Lindheimer, J. B., O’Connor, P. J., & Dishman, R. K. (2015) · Sports Medicine · doi:10.1007/s40279-015-0303-1 · Cited by 120 · see citing works
Multivariate Meta-Analysis as Structural Equation Models
Cheung, M. W. ‐. (2013) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2013.797827 · Cited by 113 · see citing works
Self-citation
Normative changes in interests from adolescence to adulthood: A meta-analysis of longitudinal studies.
Hoff, K. A., Briley, D. A., Wee, C., & Rounds, J. (2018) · Psychological Bulletin · doi:10.1037/bul0000140 · Cited by 113 · see citing works
Augmented reality generalizations: A meta-analytical review on consumer-related outcomes and the mediating role of hedonic and utilitarian values
Vieira, V. A., Rafael, D., & Agnihotri, R. (2022) · Journal of Business Research · doi:10.1016/j.jbusres.2022.06.030 · Cited by 112 · see citing works
Gender differences across multiple types of prosocial behavior in adolescence: A meta‐analysis of the prosocial tendency measure‐revised (PTM‐R)
Xiao, S. X., Hashi, E. C., Korous, K. M., & Eisenberg, N. (2019) · Journal of Adolescence · doi:10.1016/j.adolescence.2019.09.003 · Cited by 109 · see citing works
Cognitive ontologies for neuropsychiatric phenomics research
Bilder, R. M., Sabb, F. W., Parker, D. S., Kalar, D. J., Chu, W. W., Fox, J., Freimer, N. B., & Poldrack, R. A. (2009) · Cognitive Neuropsychiatry · doi:10.1080/13546800902787180 · Cited by 109 · see citing works
The effect of a single bout of exercise on energy and fatigue states: a systematic review and meta-analysis
Loy, B. D., O’Connor, P. J., & Dishman, R. K. (2013) · Fatigue Biomedicine Health & Behavior · doi:10.1080/21641846.2013.843266 · Cited by 109 · see citing works
Testing overall and moderator effects in random effects meta‐regression
Huizenga, H. M., Visser, I., & Dolan, C. V. (2010) · British Journal of Mathematical and Statistical Psychology · doi:10.1348/000711010x522687 · Cited by 101 · see citing works
Being Tough or Being Nice? A Meta-Analysis on the Impact of Hard- and Softline Strategies in Distributive Negotiations
Hüffmeier, J., Freund, P. A., Zerres, A., Backhaus, K., & Hertel, G. (2011) · Journal of Management · doi:10.1177/0149206311423788 · Cited by 95 · see citing works
Leaders and followers behaving badly: A meta‐analytic examination of curvilinear relationships between destructive leadership and followers’ workplace behaviors
Mackey, J. D., McAllister, C. P., Maher, L. P., & Wang, G. A. (2018) · Personnel Psychology · doi:10.1111/peps.12286 · Cited by 95 · see citing works
Normative body image development: A longitudinal meta-analysis of mean-level change
Lacroix, E., Smith, A. J., Incé A. Husain, Orth, U., & von Ranson, K. M. (2023) · Body Image · doi:10.1016/j.bodyim.2023.03.003 · Cited by 94 · see citing works
Factors affecting higher order thinking skills of students: A meta-analytic structural equation modeling study
Prayoonsri, B., Tatsirin, S., Suntorapot, D., & Jariya, C. (2015) · Educational Research and Reviews · doi:10.5897/err2015.2371 · Cited by 93 · see citing works
A meta-analysis of the relation between RAN and mathematics.
Koponen, T. K., Georgiou, G. K., Salmi, P., Leskinen, M., & Aro, M. T. (2017) · Journal of Educational Psychology · doi:10.1037/edu0000182 · Cited by 92 · see citing works
Examining the Effects of Controlling for Shared Variance among the Dark Triad Using Meta–Analytic Structural Equation Modelling
Vize, C. E., Collison, K. L., Miller, J. D., & Lynam, D. R. (2018) · European Journal of Personality · doi:10.1002/per.2137 · Cited by 91 · see citing works
Application of Linear Mixed-Effects Models in Human Neuroscience Research: A Comparison with Pearson Correlation in Two Auditory Electrophysiology Studies
Koerner, T. K., & Zhang, Y. (2017) · Brain Sciences · doi:10.3390/brainsci7030026 · Cited by 89 · see citing works
Effects of Early Parenting Interventions on Parents and Infants: A Meta-Analytic Review
Mihelic, M., Morawska, A., & Filus, A. (2017) · Journal of Child and Family Studies · doi:10.1007/s10826-017-0675-y · Cited by 79 · see citing works
Stability of Children's and Adolescents' Friendships: A Meta-Analytic Review
Meter, D. J., & Card (2016) · Merrill-palmer Quarterly · doi:10.13110/merrpalmquar1982.62.3.0252 · Cited by 79 · see citing works
The effect of Tai Chi and Qigong practice on depression and anxiety symptoms: A systematic review and meta-regression analysis of randomized controlled trials
Yin, J., & Dishman, R. K. (2014) · Mental health and physical activity · doi:10.1016/j.mhpa.2014.08.001 · Cited by 78 · see citing works
Constructing Approximate Confidence Intervals for Parameters With Structural Equation Models
Cheung, M. W. ‐. (2009) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705510902751291 · Cited by 73 · see citing works
Self-citation
Associations of Parental Depression with Children’s Internalizing and Externalizing Problems: Meta-Analyses of Cross-Sectional and Longitudinal Effects
Ivanova, M. Y., Achenbach, T. M., & Turner, L. V. (2022) · Journal of Clinical Child & Adolescent Psychology · doi:10.1080/15374416.2022.2127104 · Cited by 72 · see citing works
Disengaged parenting: Structural equation modeling with child abuse, insecure attachment, and adult symptomatology
Briere, J., Runtz, M., Eadie, E., Bigras, N., & Godbout, N. (2017) · Child Abuse & Neglect · doi:10.1016/j.chiabu.2017.02.036 · Cited by 71 · see citing works
Examination of Reaction Time Deficits Following Concussion: A Systematic Review and Meta-analysis
Lempke, L. B., Howell, D. R., Eckner, J. T., & Lynall, R. C. (2020) · Sports Medicine · doi:10.1007/s40279-020-01281-0 · Cited by 68 · see citing works
Selective school systems and academic self-concept: How explicit and implicit school-level tracking relate to the big-fish-–little-pond effect across cultures.
Salchegger, S. (2015) · Journal of Educational Psychology · doi:10.1037/edu0000063 · Cited by 59 · see citing works
How much does education improve intelligence? A meta-analysisPreprint
Ritchie, S. J., & Tucker–Drob, E. M. (2017) · doi:10.31234/osf.io/kymhp · Cited by 57 · see citing works
A META-ANALYTIC REVIEW OF RELATIONSHIP-BASED INTERVENTIONS FOR LOW-INCOME FAMILIES WITH INFANTS AND TODDLERS: FACILITATING SUPPORTIVE PARENT-CHILD INTERACTIONS
Mortensen, J. A., & Mastergeorge, A. M. (2014) · Infant Mental Health Journal · doi:10.1002/imhj.21451 · Cited by 56 · see citing works
Implementing Restricted Maximum Likelihood Estimation in Structural Equation Models
Cheung, M. W. ‐. (2013) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2013.742404 · Cited by 56 · see citing works
Self-citation
Bayesian Analysis Using Mplus
Muthén, B., Muthén, L. K., & Asparouhov, T. (2010) · Cited by 56 · see citing works
Estimating aboveground and organ biomass of plant canopies across the entire season of rice growth with terrestrial laser scanning
Li, P., Zhang, X., Wang, W., Zheng, H., Yao, X., Tian, Y., Zhu, Y. P., Cao, W., Chen, Q., & Cheng, T. (2020) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2020.102132 · Cited by 52 · see citing works
Testing the Circular Structure of Human Values: A Meta-Analytical Structural Equation Modelling Approach
Steinmetz, H., Isidor, R., & Baeuerle, N. (2012) · Survey research methods · doi:10.18148/srm/2012.v6i1.5096 · Cited by 51 · see citing works
Maternal and Paternal Parenting and Child Prosocial Behavior: A Meta-Analysis Using a Structural Equation Modeling Design
van der Storm, L., Lissa, C. J. V., Lucassen, N., Helmerhorst, K. O. W., & Keizer, R. (2021) · Marriage & Family Review · doi:10.1080/01494929.2021.1927931 · Cited by 50 · see citing works
Some reflections on combining meta‐analysis and structural equation modeling
Cheung, M. W. ‐. (2018) · Research Synthesis Methods · doi:10.1002/jrsm.1321 · Cited by 48 · see citing works
Self-citation
Relationship between social participation and life satisfaction in community-dwelling older adults: Multiple mediating roles of depression and cognitive function
Lv, R., Li, Y., Li, J., Wei, X., Ren, Y., Wang, W., Hou, J., & Fang, X. (2023) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2023.105233 · Cited by 47 · see citing works
Does growth require suffering? A systematic review and meta-analysis on genuine posttraumatic and postecstatic growthPreprint
Mangelsdorf, J., Eid, M., & Luhmann, M. (2018) · doi:10.31234/osf.io/vkys2 · Cited by 46 · see citing works
Meta-analytic structural equation modeling (MASEM): new tricks of the trade
Steinmetz, H., & Block, J. (2022) · Management Review Quarterly · doi:10.1007/s11301-022-00293-6 · Cited by 38 · see citing works
International Comparative Evaluation of Fixed-Bearing Non-Posterior-Stabilized and Posterior-Stabilized Total Knee Replacements
Comfort, T. K., Baste, V., Froufe, M. A., Namba, R. S., Bordini, B., Robertsson, O., Cafri, G., Paxton, E. W., Sedrakyan, A., & Graves, S. E. (2014) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.n.00462 · Cited by 37 · see citing works
Experiential learning, M&A performance, and post-acquisition integration strategy: A meta-analysis
Schweizer, L., Wang, L., Koscher, E. M. K., & Michaelis, B. (2022) · Long Range Planning · doi:10.1016/j.lrp.2022.102212 · Cited by 36 · see citing works
Revisiting the mediating role of leader–member exchange in transformational leadership: the differential impact model
Boer, D., Deinert, A., Homan, A. C., & Voelpel, S. C. (2016) · European Journal of Work and Organizational Psychology · doi:10.1080/1359432x.2016.1170007 · Cited by 36 · see citing works
Meta-Analysis in Organizational Research: A Guide to Methodological Options
Morris, S. B. (2022) · Annual Review of Organizational Psychology and Organizational Behavior · doi:10.1146/annurev-orgpsych-031921-021922 · Cited by 35 · see citing works
Effect of Acute Exercise on Fatigue in People with ME/CFS/SEID
Loy, B. D., O’Connor, P. J., & Dishman, R. K. (2016) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000000990 · Cited by 34 · see citing works
Corticospinal adaptations following resistance training and its relationship with strength: A systematic review and multivariate meta-analysis
Gómez-Feria, J., Martin‐Rodríguez, J. F., & Mir, P. (2023) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2023.105289 · Cited by 32 · see citing works
Do the effects of internet-delivered cognitive-behavioral therapy (i-CBT) last after a year and beyond? A meta-analysis of 154 randomized controlled trials (RCTs)
Zainal, N. H., Soh, C. P., Doren, N. V., & Benjet, C. L. (2024) · Clinical Psychology Review · doi:10.1016/j.cpr.2024.102518 · Cited by 32 · see citing works
A Comparison of Fixed-Effects and Random-Effects Models for Multivariate Meta-Analysis Using an SEM Approach
Cai, Z., & Fan, X. (2019) · Multivariate Behavioral Research · doi:10.1080/00273171.2019.1689348 · Cited by 32 · see citing works
Meta-Analytic Structural Equation Modeling
Cheung, M. W. ‐. (2021) · Oxford University Press eBooks · doi:10.1093/acrefore/9780190224851.013.225 · Cited by 32 · see citing works
Self-citation
Mediation effects in the ‘purchasing and supply management (PSM) practice–performance link’: Findings from a meta-analytical structural equation model
Foerstl, K. D., Franke, H., & Zimmermann, F. (2016) · Journal of Purchasing and Supply Management · doi:10.1016/j.pursup.2016.08.001 · Cited by 31 · see citing works
Effects of Exercise Training on Pulmonary Function in Adults With Chronic Lung Disease: A Meta-Analysis of Randomized Controlled Trials
Salcedo, P. A., Lindheimer, J. B., Klein‐Adams, J. C., Sotolongo, A. M., & Falvo, M. J. (2018) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2018.03.014 · Cited by 30 · see citing works
Fixed-Effects Meta-Analyses as Multiple-Group Structural Equation Models
Cheung, M. W. ‐. (2010) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2010.489367 · Cited by 29 · see citing works
Self-citation
Examining the Differential Effectiveness of Fear Appeals in Information Security Management Using Two-Stage Meta-Analysis
Lowry, P. B., Moody, G. D., Parameswaran, S., & Brown, N. J. (2023) · Journal of Management Information Systems · doi:10.1080/07421222.2023.2267318 · Cited by 29 · see citing works
Linear Mixed Models with Endogenous Covariates: Modeling Sequential Treatment Effects with Application to a Mobile Health Study
Qian, T., Klasnja, P., & Murphy, S. A. (2020) · Statistical Science · doi:10.1214/19-sts720 · Cited by 28 · see citing works
Coexistence and conflicts between shopping malls and street markets in growing cities: Analysis of shoppers’ behaviour
Rajagopal, N. A. (2010) · Journal of Retail & Leisure Property · doi:10.1057/rlp.2010.17 · Cited by 28 · see citing works
Perseverative Cognition as a Mediator Between Perceived Stress and Sleep Disturbance: A Structural Equation Modeling Meta-analysis (meta-SEM)
Zagaria, A., Ottaviani, C., Lombardo, C., & Ballesio, A. (2022) · Annals of Behavioral Medicine · doi:10.1093/abm/kaac064 · Cited by 27 · see citing works
Effect of Femoral Head Size on Metal-on-HXLPE Hip Arthroplasty Outcome in a Combined Analysis of Six National and Regional Registries
Allepuz, A., Havelin, L. I., Barber, T., Sedrakyan, A., Graves, S. E., Bordini, B., Hoeffel, D. P., Cafri, G., & Paxton, E. W. (2014) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.n.00461 · Cited by 26 · see citing works
Pediatric weight management interventions in primary care settings: A meta-analysis.
Mitchell, T. B., Amaro, C. M., & Steele, R. G. (2016) · Health Psychology · doi:10.1037/hea0000381 · Cited by 26 · see citing works
International Comparative Evaluation of Knee Replacement with Fixed or Mobile Non-Posterior-Stabilized Implants
Namba, R. S., Graves, S. E., Robertsson, O., Furnes, O. N., Stea, S., Puig, L., Hoeffel, D. P., Cafri, G., Paxton, E. W., & Sedrakyan, A. (2014) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.n.00466 · Cited by 25 · see citing works
International Comparative Evaluation of Knee Replacement with Fixed or Mobile-Bearing Posterior-Stabilized Prostheses
Graves, S. E., Sedrakyan, A., Baste, V., Gioe, T. J., Namba, R. S., Martínez-Cruz, O., Stea, S., Paxton, E. W., Banerjee, S., Isaacs, A., et al. (2014) · Journal of Bone and Joint Surgery · doi:10.2106/jbjs.n.00556 · Cited by 23 · see citing works
The safety of early versus late ambulation in the management of patients after percutaneous coronary interventions: A meta-analysis
Tongsai, S., & Thamlikitkul, V. (2012) · International Journal of Nursing Studies · doi:10.1016/j.ijnurstu.2012.03.012 · Cited by 22 · see citing works
Structural Equation Modeling in Psychology: The History, Development and Current Challenges
Karimi, L., & Meyer, D. (2014) · International Journal of Psychological Studies · doi:10.5539/ijps.v6n4p123 · Cited by 22 · see citing works
Using structural equation modeling for network meta-analysis
Tu, Y., & Wu, Y. (2017) · BMC Medical Research Methodology · doi:10.1186/s12874-017-0390-9 · Cited by 22 · see citing works
Lag as moderator meta-analysis: A methodological approach for synthesizing longitudinal data
Card, N. A. (2018) · International Journal of Behavioral Development · doi:10.1177/0165025418773461 · Cited by 22 · see citing works

Fixed-Effects Meta-Analyses as Multiple-Group Structural Equation Models
Cheung, M. W. ‐. (2010) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705511.2010.489367 · Cited by 29 · see citing works
Self-citation
Structural Equation Modeling (SEM)-Based Meta-AnalysisPreprint
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Self-citation

Authors: Cheung, M. W.-L.
Affiliations: National University of Singapore (SG)
Corresponding author: Cheung, Mike W.-L.
ORCID: Cheung, Mike W.-L.
Venue: Psychological Methods
Publisher: American Psychological Association (APA)
Published: 2008
Volume: 13
Issue: 3
Pages: 182-202
ISSN: 1082-989X (ISSN-L)
1939-1463
DOI: 10.1037/a0013163
OpenAlex: W2102695454
Cited by: 175
References: 117
Citations by year: 2026: 10 · 2025: 6 · 2024: 5 · 2023: 11 · 2022: 13 · 2021: 4 · 2020: 6 · 2019: 6 · 2018: 15 · 2017: 12 · 2016: 11 · 2015: 20 · 2014: 14 · 2013: 15 · 2012: 10
FWCI: 6.48
Type: journal article
Language: en
Open access: closed
Locations: Psychological Methods (publishedVersion)
PubMed (publishedVersion)
National University of Singapore (submittedVersion)
Funders: Ministry of Education (R-581-000-064-112)
Topics: Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
Keywords: structural equation modeling, fixed-effects meta-analysis, random-effects meta-analysis, effect size heterogeneity, mixture models, missing covariates, data transformation
MeSH terms: Humans, Models, Psychological, Meta-Analysis as Topic

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A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling.

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