فراتر از یک فراتحلیل: کاربرد فرا-فراتحلیل‌ در علوم رفتاری

منابع

Afonso, J., Ramirez-Campillo, R., Clemente, F. M., Büttner, F. C., & Andrade, R. (2024). The perils of misinterpreting and misusing “publication bias” in meta-analyses: An education review on funnel plot-based methods. Sports medicine, 54(2), 257-269. https://doi.org/10.1007/s40279-023-01927-9

Brooke, B. S., Schwartz, T. A., & Pawlik, T. M. (2021). MOOSE reporting guidelines for meta-analyses of observational studies. JAMA surgery, 156(8), 787-788. https://doi.org/10.1001/jamasurg.2021.0522

Carr, A., Finneran, L., Boyd, C., Shirey, C., Canning, C., Stafford, O.,... & Burke, T. (2024). The evidence-base for positive psychology interventions: a mega-analysis of meta-analyses. The Journal of Positive Psychology, 19(2), 191-205. https://doi.org/10.1080/17439760.2023.2168564

Cleophas, J. T., & Zwinderman, H. A. (2017). Modern meta-analysis: Review and update of methodologies. Springer International Publishing Switzerland. https://doi.org/10.1007/978-3-319-55895-0

Gharoun, H., Momenifar, F., Chen, F., & Gandomi, A. (2023). Meta-learning approaches for few-shot learning: A survey of recent advances. ACM Computing Surveys.‏ https://doi.org/10.48550/arXiv.2303.07502

Glass, G. V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5(10), 3-8.https://doi.org/10.2307/1174772

Hackenberger, B. K. (2020). Bayesian meta-analysis now–let’s do it. Croatian Medical Journal, 61(6), 564. https://doi.org/10.3325/cmj.2020.61.564

Hedges, L. V., Olkin, I. (1985). Statistical Methods for Meta-Analysis. United Kingdom: Elsevier Science. https://doi.org/10.1016/C2009-0-03396-0

Higgins, J. P., Altman, D. G., Gøtzsche, P. C., Jüni, P., Moher, D., Oxman, A. D.,... & Sterne, J. A. (2011). The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials. Bmj, 343. https://doi.org/10.1136/bmj.d5928

Kazrin, A., Durac, J., & Agteros, T. (1979). Meta–meta analysis: A new method for evaluating therapy outcome. Behaviour Research and Therapy. https://doi.org/10.1016/0005-7967(79)90011-1

Khoee, A. G., Yu, Y., & Feldt, R. (2024). Domain Generalization through Meta-Learning: A Survey. arXiv preprint arXiv:2404.02785.‏ https://doi.org/10.48550/arXiv.2404.02785

Leclercq V., Beaudart C., Ajamieh S., Rabenda V., Tirelli E., Bruyère O. (2019). Meta-analyses indexed in PsycINFO had a better completeness of reporting when they mention PRISMA. J Clin Epidemiol, 115, 46- 54. https://doi.org/10.1016/j.jclinepi.2019.06.014

Light, R. J., & Pillemer, D. B. (1984). Summing up: The science of reviewing research. Harvard University Press. https://doi.org/10.2307/j.ctvk12px9

Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G., (2009). PRISMA Group. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med, 151, 264-9, W64. https://doi.org/10.1371/journal.pmed.1000097

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D.,... & Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. bmj, 372. https://doi.org/10.1136/bmj.n71.

Page, M. J., & Moher, D. (2017). Evaluations of the uptake and impact of the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) Statement and extensions: a scoping review. Systematic reviews, 6, 1-14. https://doi.org/10.1186/s13643-017-0663-8.

Paul, J., & Barari, M. (2022). Meta-analysis and traditional systematic literature reviews—What, why, when, where, and how? Psychology & Marketing, 39(6), 1099-1115.http://dx.doi.org/10.1177/2167696815617076.

Pollock, M., Fernandes, R. M., Pieper, D., Tricco, A. C., Gates, M., Gates, A., & Hartling, L. (2019). Preferred Reporting Items for Overviews of Reviews (PRIOR): a protocol for development of a reporting guideline for overviews of reviews of healthcare interventions. Systematic reviews, 8, 1-9. https://doi.org/10.1136/bmj-2022-070849.

Reis, D. J., Kaizer, A. M., Kinney, A. R., Bahraini, N. H., Holliday, R., Forster, J. E., & Brenner, L. A. (2023). A practical guide to random-effects Bayesian meta-analyses with application to the psychological trauma and suicide literature. Psychological trauma: theory, research, practice, and policy, 15(1), 121. https://doi.org/10.1037/tra0001316.

Rosenberger, K. J., Xing, A., Murad, M. H., Chu, H., & Lin, L. (2021). Prior choices of between-study heterogeneity in contemporary Bayesian network meta-analyses: an empirical study. Journal of general internal medicine, 36(4), 1049-1057. https://doi.org/10.1007/s11606-020-06357-1

Rebar, A. L., Stanton, R., Geard, D., Short, C., Duncan, M. J., & Vandelanotte, C. (2015). A meta-meta-analysis of the effect of physical activity on depression and anxiety in non-clinical adult populations. Health psychology review, 9(3), 366-378. https://doi.org/10.1080/17437199.2015.1022901.

Röver, C., Bender, R., Dias, S., Schmid, C. H., Schmidli, H., Sturtz, S.,... & Friede, T. (2020). On weakly informative prior distributions for the heterogeneity parameter in Bayesian random-effects meta-analysis. Research Synthesis Methods, 12(4), 448-474. https://doi.org/10.1002/jrsm.1475

Sterne, J. A., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I.,... & Higgins, J. P. (2019). RoB 2: a revised tool for assessing risk of bias in randomised trials. bmj, 366. https://doi.org/10.1136/bmj.l4898

https://psycnet.apa.org/doi/10.1093/med/9780199685219.001.0001

Shea, B. J., Reeves, B. C., Wells, G., Thuku, M., Hamel, C., Moran, J.,... & Henry, D. A. (2017). AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both. bmj, 358. https://doi.org/10.1136/bmj.j4008

External validation of a measurement tool to assess systematic reviews (AMSTAR). PloS one, 2(12), e1350. https://doi.org/10.1371/journal.pone.0001350

Turner, R. M., Davey, J., Clarke, M. J., Thompson, S. G., & Higgins, J. P. (2012). Predicting the extent of heterogeneity in meta-analysis, using empirical data from the Cochrane Database of Systematic Reviews. International journal of epidemiology, 41(3), 818-827. https://doi.org/10.1093/ije/dys041

Van Aert, R. C., Wicherts, J. M., & Van Assen, M. A. (2019). Publication bias examined in meta-analyses from psychology and medicine: A meta-meta-analysis. PloS one, 14(4), e0215052. https://doi.org/10.1371/journal.pone.0215052.

ROBIS: a new tool to assess risk of bias in systematic reviews was developed. Journal of clinical epidemiology, 69, 225-234. https://doi.org/10.1016/j.jclinepi.2015.06.005.

Whiting, P., Savović, J., Higgins, J. P., Caldwell, D. M., Reeves, B. C., Shea, B.,... & Churchill, R. (2016). ROBIS: a new tool to assess risk of bias in systematic reviews was developed. Journal of clinical epidemiology, 69, 225-234. https://doi.org/10.1016/j.jclinepi.2015.06.005