The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
From pre-registration to publication: a non-technical primer for conducting a meta-analysis to synthesize correlational data
Open accessAbstract
Meta-analysis synthesizes a body of research investigating a common research question. Outcomes from meta-analyses provide a more objective and transparent summary of a research area than traditional narrative reviews. Moreover, they are often used to support research grant applications, guide clinical practice, and direct health policy. The aim of this article is to provide a practical and non-technical guide for psychological scientists that outlines the steps involved in planning and performing a meta-analysis of correlational datasets. I provide a supplementary R script to demonstrate each analytical step described in the paper, which is readily adaptable for researchers to use for their analyses. While the worked example is the analysis of a correlational dataset, the general meta-analytic process described in this paper is applicable for all types of effect sizes. I also emphasize the importance of meta-analysis protocols and pre-registration to improve transparency and help avoid unintended duplication. An improved understanding this tool will not only help scientists to conduct their own meta-analyses but also improve their evaluation of published meta-analyses.
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Citations
Cites
Conducting Meta-Analyses in R with the metafor Package
Viechtbauer, W. (2010) · Journal of Statistical Software · doi:10.18637/jss.v036.i03 · Cited by 20,464
Operating characteristics of a rank correlation test for publication bias
Begg, C. B., & Mazumdar, M. (1994) · Biometrics · doi:10.2307/2533446 · Cited by 16,955
Duval, S., & Tweedie, R. (2000) · Biometrics · doi:10.1111/j.0006-341x.2000.00455.x · Cited by 14,099
Estimating the reproducibility of psychological science
Open Science Collaboration (2015) · Science · doi:10.1126/science.aac4716 · Cited by 8,515
Outlier and influence diagnostics for meta-analysis
Viechtbauer, W., & Cheung, M. W.-L. (2010) · Research Synthesis Methods · doi:10.1002/jrsm.11 · Cited by 2,949 · cited 1×
“A set of diagnostics derived from standard linear regression are also available within the metafor package to identify potential outliers and influential cases, which can also influence observed heterogeneity (Viechtbauer and Cheung, 2010).”
MethodPublication and related bias in meta-analysis
Sterne, J. A. C., Gavaghan, D., & Egger, M. (2000) · Journal of Clinical Epidemiology · doi:10.1016/s0895-4356(00)00242-0 · Cited by 2,282
HARKing: Hypothesizing after the results are known
Kerr, N. L. (1998) · Personality and Social Psychology Review · doi:10.1207/s15327957pspr0203_4 · Cited by 1,989
Research Synthesis and Meta-Analysis: A Step-by-Step Approach
Cooper, H. (2017) · doi:10.4135/9781071878644 · Cited by 1,716
Teachers’ self-efficacy, personality, and teaching effectiveness: A meta-analysis
Klassen, R. M., & Tze, V. M. C. (2014) · Educational Research Review · doi:10.1016/j.edurev.2014.06.001 · Cited by 1,221
Egger, M., Jüni, P., Bartlett, C., Holenstein, F., & Sterne, J. (2003) · Health Technology Assessment · doi:10.3310/hta7010 · Cited by 1,181 · cited 2×
“While the inclusion of gray literature reduces the risk of publication bias, the methodological quality of the work is often (but not always) lower than formally published work (Egger et al., 2003).”
Method
Cited by
Valstad, M., Alvares, G. A., Egknud, M., Matziorinis, A. M., Andreassen, O. A., Westlye, L. T., & Quintana, D. S. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.04.017 · Cited by 277
“, 2009) (Supplementary Table S1) and recent recommendations for conducting correlational meta-analyses (Quintana, 2015).”
Self-citationSelf-Compassion and Coping: a Meta-Analysis
Ewert, C., Vater, A., & Schröder-Abé, M. (2021) · Mindfulness · doi:10.1007/s12671-020-01563-8 · Cited by 270
Cognitive deficits in problematic internet use: meta-analysis of 40 studies
Ioannidis, K., Hook, R., Goudriaan, A. E., Vlies, S., Fineberg, N. A., Grant, J. E., & Chamberlain, S. R. (2019) · British Journal of Psychiatry · doi:10.1192/bjp.2019.3 · Cited by 246
Mazeas, A., Duclos, M., Pereira, B., & Chalabaev, A. (2022) · Journal of Medical Internet Research · doi:10.2196/26779 · Cited by 222
Hermsen, S., Frost, J., Renes, R. J., & Kerkhof, P. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.023 · Cited by 194
Metadata
- Authors
- Quintana, D. S.
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2015-10-08
- Volume
- 6
- Pages
- 1549-1549
- ISSN
- 1664-1078 (ISSN-L)
- OpenAlex
- W2097019163
- Cited by
- 260
- References
- 22
- FWCI
- 1.10
- Type
- journal article
- Language
- en
- Open access
- gold
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.