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Special Issue Articles

Applications of meta-analytic structural equation modelling in health psychology: examples, issues, and recommendations

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Pages 265-279 | Received 30 Jul 2015, Accepted 17 Oct 2016, Published online: 06 Jul 2017

References

  • Adams, K. F., Schatzkin, A., Harris, T. B., Kipnis, V., Mouw, T., Ballard-Barbash, R., … Leitzmann, M. F. (2006). Overweight, obesity, and mortality in a large prospective cohort of persons 50 to 71 years old. New England Journal of Medicine, 355(8), 763–778. doi: 10.1056/NEJMoa055643
  • Ajzen, I. (1991). Theories of cognitive self-regulation the theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. doi: 10.1016/0749-5978(91)90020-T
  • Ajzen, I. (2002). Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior1. Journal of Applied Social Psychology, 32(4), 665–683. doi: 10.1111/j.1559-1816.2002.tb00236.x
  • Becker, B. J. (1992). Using results from replicated studies to estimate linear models. Journal of Educational Statistics, 17(4), 341–362. doi:10.3102/10769986017004341 doi: 10.2307/1165128
  • Becker, B. J., & Schram, C. M. (1994). Examining explanatory models through research synthesis. In H. Cooper & L. V. Hedges (Eds.), The handbook of research synthesis (pp. 357–381). New York, NY: Russell Sage Foundation.
  • Bergh, D. D., Aguinis, H., Heavey, C., Ketchen, D. J., Boyd, B. K., Su, P., … Joo, H. (2016). Using meta-analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership-performance relationship. Strategic Management Journal, 37(3), 477–497. doi: 10.1002/smj.2338
  • Bogg, T., & Roberts, B. W. (2004). Conscientiousness and health-related behaviors: A meta-analysis of the leading behavioral contributors to mortality. Psychological Bulletin, 130(6), 887–919. doi: 10.1037/0033-2909.130.6.887
  • Bollen, K. A., Harden, J. J., Ray, S., & Zavisca, J. (2014). BIC and alternative Bayesian information criteria in the selection of structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 21(1), 1–19. doi: 10.1080/10705511.2014.856691
  • Bonett, D. G. (2008). Meta-analytic interval estimation for bivariate correlations. Psychological Methods, 13(3), 173–181. doi: 10.1037/a0012868
  • Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. Chichester, West Sussex; Hoboken: Wiley.
  • Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2010). A basic introduction to fixed-effect and random-effects models for meta-analysis. Research Synthesis Methods, 1(2), 97–111. doi: 10.1002/jrsm.12
  • Browne, M. W. (1984). Asymptotically distribution-free methods for the analysis of covariance structures. British Journal of Mathematical and Statistical Psychology, 37(1), 62–83. doi: 10.1111/j.2044-8317.1984.tb00789.x
  • Cheung, M. W.-L. (2009a). Comparison of methods for constructing confidence intervals of standardized indirect effects. Behavior Research Methods, 41(2), 425–438. doi: 10.3758/BRM.41.2.425
  • Cheung, M. W.-L. (2009b). Constructing approximate confidence intervals for parameters with structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 16(2), 267–294. doi: 10.1080/10705510902751291
  • Cheung, M. W.-L. (2013). Multivariate meta-analysis as structural equation models. Structural Equation Modeling: A Multidisciplinary Journal, 20(3), 429–454. doi: 10.1080/10705511.2013.797827
  • Cheung, M. W.-L. (2014). Fixed- and random-effects meta-analytic structural equation modeling: Examples and analyses in R. Behavior Research Methods, 46(1), 29–40. doi: 10.3758/s13428-013-0361-y
  • Cheung, M. W.-L. (2015a). Meta-analysis: A structural equation modeling approach. Chichester: Wiley.
  • Cheung, M. W.-L. (2015b). metaSEM: An R package for meta-analysis using structural equation modeling. Frontiers in Psychology, 5(1521). doi: 10.3389/fpsyg.2014.01521
  • Cheung, M. W.-L., & Chan, W. (2005a). Classifying correlation matrices into relatively homogeneous subgroups: A cluster analytic approach. Educational and Psychological Measurement, 65(6), 954–979. doi: 10.1177/0013164404273946
  • Cheung, M. W.-L., & Chan, W. (2005b). Meta-analytic structural equation modeling: A two-stage approach. Psychological Methods, 10(1), 40–64. doi: 10.1037/1082-989X.10.1.40
  • Cheung, M. W.-L., & Chan, W. (2009). A two-stage approach to synthesizing covariance matrices in meta-analytic structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 16(1), 28–53. doi: 10.1080/10705510802561295
  • Cheung, M. W.-L., & Cheung, S. F. (2016). Random-effects models for meta-analytic structural equation modeling: Review, issues, and illustrations. Research Synthesis Methods, 7(2), 140–155. doi: 10.1002/jrsm.1166
  • Cheung, M. W.-L., & Hafdahl, A. R. (2016). Special issue on meta-analytic structural equation modeling: Introduction from the guest editors. Research Synthesis Methods, 7(2), 112–120. doi: 10.1002/jrsm.1212
  • Conner, M., Warren, R., Close, S., & Sparks, P. (1999). Alcohol consumption and the theory of planned behavior: An examination of the cognitive mediation of past behavior. Journal of Applied Social Psychology, 29(8), 1676–1704. doi: 10.1111/j.1559-1816.1999.tb02046.x
  • Cook, T. D., Cooper, H. M., Cordray, D. S., Hartmann, H., Hedges, L. V., Light, R. J., … Mosteller, F. (Eds.). (1992). Meta-analysis for explanation: A casebook. New York, NY: Russell Sage Foundation.
  • Cooke, R., Dahdah, M., Norman, P., & French, D. P. (2016). How well does the theory of planned behaviour predict alcohol consumption? A systematic review and meta-analysis. Health Psychology Review, 10(2), 148–167. doi: 10.1080/17437199.2014.947547
  • Cooper, H. M. (2010). Research synthesis and meta-analysis: A step-by-step approach (4th ed.). Los Angeles, CA: Sage.
  • Curran, P. J., West, S. G., & Finch, J. F. (1996). The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychological Methods, 1(1), 16–29. doi: 10.1037/1082-989X.1.1.16
  • Enders, C. K. (2010). Applied missing data analysis. New York, NY: Guilford Press.
  • Ferguson, E. (2013). Personality is of central concern to understand health: Towards a theoretical model for health psychology. Health Psychology Review, 7(suppl. 1), S32–S70. doi: 10.1080/17437199.2010.547985
  • Fouladi, R. T. (2000). Performance of modified test statistics in covariance and correlation structure analysis under conditions of multivariate nonnormality. Structural Equation Modeling: A Multidisciplinary Journal, 7(3), 356–410. doi: 10.1207/S15328007SEM0703_2
  • Furlow, C. F., & Beretvas, S. N. (2005). Meta-analytic methods of pooling correlation matrices for structural equation modeling under different patterns of missing data. Psychological Methods, 10(2), 227–254. doi: 10.1037/1082-989X.10.2.227
  • Hafdahl, A. R., & Williams, M. A. (2009). Meta-analysis of correlations revisited: Attempted replication and extension of Field’s (2001) simulation studies. Psychological Methods, 14(1), 24–42. doi: 10.1037/a0014697
  • Hagger, M. S. (2015). Retired or not, the theory of planned behaviour will always be with us. Health Psychology Review, 9(2), 125–130. doi: 10.1080/17437199.2015.1034470
  • Hagger, M. S., Chatzisarantis, N. L. D., & Biddle, S. J. H. (2002). A meta-analytic review of the theories of reasoned action and planned behavior in physical activity: Predictive validity and the contribution of additional variables. Journal of Sport & Exercise Psychology, 24(1), 3–32. doi: 10.1123/jsep.24.1.3
  • Hamilton, K., & White, K. M. (2008). Extending the theory of planned behavior: The role of self and social influences in predicting adolescent regular moderate-to-vigorous physical activity. Journal of Sport and Exercise Psychology, 30(1), 56–74. doi: 10.1123/jsep.30.1.56
  • Hamilton, K., & White, K. M. (2012). Social influences and the physical activity intentions of parents of young-children families an extended theory of planned behavior approach. Journal of Family Issues, 33(10), 1351–1372. doi: 10.1177/0192513X12437151
  • Hankins, M., French, D., & Horne, R. (2000). Statistical guidelines for studies of the theory of reasoned action and the theory of planned behaviour. Psychology & Health, 15(2), 151–161. doi: 10.1080/08870440008400297
  • Hedges, L. V., & Olkin, I. (1985). Statistical methods for meta-analysis. Orlando, FL: Academic Press.
  • Hedges, L. V., & Vevea, J. L. (1998). Fixed- and random-effects models in meta-analysis. Psychological Methods, 3(4), 486–504. doi: 10.1037/1082-989X.3.4.486
  • Higgins, J. P. T., & Thompson, S. G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539–1558. doi: 10.1002/sim.1186
  • Hong, R. Y., & Cheung, M. W.-L. (2015). The structure of cognitive vulnerabilities to depression and anxiety: Evidence for a common core etiologic process based on a meta-analytic review. Clinical Psychological Science, 3(6), 892–912. doi: 10.1177/2167702614553789
  • Hunter, J. E., & Hamilton, M. A. (2002). The advantages of using standardized scores in causal analysis. Human Communication Research, 28(4), 552–561. doi: 10.1111/j.1468-2958.2002.tb00823.x
  • Jackson, D., Riley, R., & White, I. R. (2011). Multivariate meta-analysis: Potential and promise. Statistics in Medicine, 30(20), 2481–2498. doi:10.1002/sim.4172 doi: 10.1002/sim.4247
  • Jak, S. (2015). Meta-analytic structural equation modelling. Cham: Springer International.
  • Johnson, B. T., & Eagly, A. H. (2014). Meta-analysis of social-personality psychological research. In H. T. Reise & C. M. Judd (Eds.), Handbook of research methods in social and personality psychology (2nd ed., pp. 675–707). London: Cambridge University Press.
  • Johnson, B. T., Scott-Sheldon, L. A. J., & Carey, M. P. (2010). Meta-synthesis of health behavior change meta-analyses. American Journal of Public Health, 100(11), 2193–2198. doi: 10.2105/AJPH.2008.155200
  • Jokela, M., Batty, G. D., Nyberg, S. T., Virtanen, M., Nabi, H., Singh-Manoux, A., & Kivimäki, M. (2013). Personality and all-cause mortality: Individual-participant meta-analysis of 3,947 deaths in 76,150 adults. American Journal of Epidemiology, 178(5), 667–675. doi: 10.1093/aje/kwt170
  • Kline, R. B. (2016). Principles and practice of structural equation modeling (4th ed.). New York, NY: Guilford Press.
  • LaCroix, J. M., Snyder, L. B., Huedo-Medina, T. B., & Johnson, B. T. (2014). Effectiveness of mass media interventions for HIV prevention, 1986–2013: A meta-analysis. JAIDS Journal of Acquired Immune Deficiency Syndromes, 66, S329–S340. doi: 10.1097/QAI.0000000000000230
  • Landis, R. S. (2013). Successfully combining meta-analysis and structural equation modeling: Recommendations and strategies. Journal of Business and Psychology, 28(3), 251–261. doi: 10.1007/s10869-013-9285-x
  • Loef, M., & Walach, H. (2012). The combined effects of healthy lifestyle behaviors on all cause mortality: A systematic review and meta-analysis. Preventive Medicine, 55(3), 163–170. doi: 10.1016/j.ypmed.2012.06.017
  • MacKinnon, D. (2008). Introduction to statistical mediation analysis. New York, NY: Lawrence Erlbaum.
  • Marques, M. M., & Hamilton, K. (2014). Health psychology and statistical methods: Out with the old and in with the new. The European Health Psychologist, 16(2), 36–39.
  • Mavridis, D., & Salanti, G. (2013). A practical introduction to multivariate meta-analysis. Statistical Methods in Medical Research, 22(2), 133–158. doi: 10.1177/0962280211432219
  • McEachan, R. R. C., Conner, M., Taylor, N. J., & Lawton, R. J. (2011). Prospective prediction of health-related behaviours with the theory of planned behaviour: A meta-analysis. Health Psychology Review, 5(2), 97–144. doi: 10.1080/17437199.2010.521684
  • McKay, D. (Ed.). (2008). Handbook of research methods in abnormal and clinical psychology. Thousand Oaks, CA: Sage.
  • Michel, J. S., Viswesvaran, C., & Thomas, J. (2011). Conclusions from meta-analytic structural equation models generally do not change due to corrections for study artifacts. Research Synthesis Methods, 2(3), 174–187. doi: 10.1002/jrsm.47
  • Millar, R. B. (2011). Maximum likelihood estimation and inference: With examples in R, SAS, and ADMB. Hoboken, NJ: Wiley.
  • Mucha, L., Stephenson, J., Morandi, N., & Dirani, R. (2006). Meta-analysis of disease risk associated with smoking, by gender and intensity of smoking. Gender Medicine, 3(4), 279–291. doi: 10.1016/S1550-8579(06)80216-0
  • Newton, J. D., Newton, F. J., Ewing, M. T., Burney, S., & Hay, M. (2013). Conceptual overlap between moral norms and anticipated regret in the prediction of intention: Implications for theory of planned behaviour research. Psychology & Health, 28(5), 495–513. doi: 10.1080/08870446.2012.745936
  • Norton, S., Cosco, T., Doyle, F., Done, J., & Sacker, A. (2013). The hospital anxiety and depression scale: A meta confirmatory factor analysis. Journal of Psychosomatic Research, 74(1), 74–81. doi: 10.1016/j.jpsychores.2012.10.010
  • Olkin, I., & Siotani, M. (1976). Asymptotic distribution of functions of a correlation matrix. In S. Ideka (Ed.), Essays in probability and statistics (pp. 235–251). Tokyo: Shinko Tsusho.
  • Pawitan, Y. (2001). In all likelihood: Statistical modelling and inference using likelihood. Oxford: Oxford University Press.
  • R Development Core Team. (2016). R: A language and environment for statistical computing. Vienna. Retrieved from http://www.R-project.org/
  • Rich, A., Brandes, K., Mullan, B., & Hagger, M. S. (2015). Theory of planned behavior and adherence in chronic illness: A meta-analysis. Journal of Behavioral Medicine, 38(4), 673–688. doi: 10.1007/s10865-015-9644-3
  • Roberts, B. W., Kuncel, N. R., Shiner, R., Caspi, A., & Goldberg, L. R. (2007). The power of personality: The comparative validity of personality traits, socioeconomic status, and cognitive ability for predicting important life outcomes. Perspectives on Psychological Science, 2(4), 313–345. doi: 10.1111/j.1745-6916.2007.00047.x
  • Rosenthal, R. (1991). Meta-analytic procedures for social research (Revised). Newbury Park, CA: Sage.
  • Schmidt, F. L., & Hunter, J. E. (2015). Methods of meta-analysis: Correcting error and bias in research findings (3rd ed.). Thousand Oaks, CA: Sage.
  • Shadish, W. R., & Sweeney, R. B. (1991). Mediators and moderators in meta-analysis: There’s a reason we don’t let dodo birds tell us which psychotherapies should have prizes. Journal of Consulting and Clinical Psychology, 59(6), 883–893. doi: 10.1037/0022-006X.59.6.883
  • Sniehotta, F. F., Presseau, J., & Araújo-Soares, V. (2014). Time to retire the theory of planned behaviour. Health Psychology Review, 8(1), 1–7. doi: 10.1080/17437199.2013.869710
  • The WHOQOL Group. (1998). Development of the World Health Organization WHOQOL-BREF quality of life assessment. Psychological Medicine, 28(03), 551–558. doi: 10.1017/S0033291798006667
  • Tyson, M., Covey, J., & Rosenthal, H. E. S. (2014). Theory of planned behavior interventions for reducing heterosexual risk behaviors: A meta-analysis. Health Psychology, 33(12), 1454–1467. doi: 10.1037/hea0000047
  • Viswesvaran, C., & Ones, D. S. (1995). Theory testing: Combining psychometric meta-analysis and structural equations modeling. Personnel Psychology, 48(4), 865–885. doi: 10.1111/j.1744-6570.1995.tb01784.x
  • Zhang, Y. (2011). Meta-analytic structural equation modeling (MASEM): Comparison of the multivariate methods (Doctoral dissertation). The Florida State University, Florida. Retrieved from http://search.proquest.com/docview/897548844/abstract?accountid=13876

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