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Why Multivariate Meta-Analysis Methods for Studies with Multivariate Outcomes? |
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Abstract:
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The objectives of the present study are to: (a) Present the univariate and multivariate mixed-effects meta analytic techniques for estimating the standardized mean differences; (b) Use the univariate multilevel meta-analysis methods and the multivariate multilevel (mixed-effects) meta-analytic methods to integrate and model these effect sizes; (c) Compare the parameter estimates from these two meta-analytic methods by applying it to the Scholastic Aptitude Test (SAT) multivariate meta-analytic data reported by Kalaian (1994) and Kalaian and Raudenbush (1996). The results of the present study indicate that the use of different meta-analytic methods can lead to different conclusions. The multivariate analysis yielded narrower confidence intervals for the mean effect-size than the univariate analysis. |
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effect (56), meta (51), size (44), sat (42), studi (40), multivari (36), analysi (35), meta-analysi (34), multilevel (30), method (25), model (24), univari (24), outcom (22), math (21), result (19), verbal (18), sat-math (17), standard (16), coach (16), 2 (15), kalaian (15), |
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Association:
Name: MWERA Annual Meeting
URL: http://www.mwera.org
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Citation:
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MLA Citation:
| Kalaian, Sema. and Kasim, Rafa. "Why Multivariate Meta-Analysis Methods for Studies with Multivariate Outcomes?" Paper presented at the annual meeting of the MWERA Annual Meeting, Westin Great Southern Hotel, Columbus, Ohio, Oct 15, 2008 <Not Available>. 2009-05-23 <http://www.allacademic.com/meta/p275506_index.html> |
APA Citation:
| Kalaian, S. and Kasim, R. , 2008-10-15 "Why Multivariate Meta-Analysis Methods for Studies with Multivariate Outcomes?" Paper presented at the annual meeting of the MWERA Annual Meeting, Westin Great Southern Hotel, Columbus, Ohio Online <APPLICATION/PDF>. 2009-05-23 from http://www.allacademic.com/meta/p275506_index.html |
Publication Type: Paper Presentation
Abstract: The objectives of the present study are to: (a) Present the univariate and multivariate mixed-effects meta analytic techniques for estimating the standardized mean differences; (b) Use the univariate multilevel meta-analysis methods and the multivariate multilevel (mixed-effects) meta-analytic methods to integrate and model these effect sizes; (c) Compare the parameter estimates from these two meta-analytic methods by applying it to the Scholastic Aptitude Test (SAT) multivariate meta-analytic data reported by Kalaian (1994) and Kalaian and Raudenbush (1996). The results of the present study indicate that the use of different meta-analytic methods can lead to different conclusions. The multivariate analysis yielded narrower confidence intervals for the mean effect-size than the univariate analysis. |
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application/pdf |
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2029 |
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| Meta-analysis is a systematic quantitative method for aggregating and synthesizing descriptive statistical results from a collection of published studies that address and test the same research hypothesis (Glass 1976; Hedges & Olkin 1985). Since Glass’s introduction of the concept of meta-analysis to the social and behavioral sciences in 1976 many univariate and multivariate meta-analytic techniques have been developed to quantitatively summarize and integrate the research findings. For instance combining standardized mean differences (Hedges and Olkin 1985; Hedges 1994; Raudenbush |
| 2002) because these two methods lead to different estimates significance tests for mean-difference effects and significance tests for the predictor variables. The present study provided a methodological comparison between the univariate and multivariate multilevel methods for meta-analysis as well as their applications to real research data. As a result of this study which agrees with previous research we can say that differences exist between these two multilevel methods in terms of the coefficient estimates and their associated standard errors. |
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