EN | PT | TR | RO | BG | SR
;

8. Modul: ANALIZA CANTITATIVĂ: META-ANALIZA


REZUMAT

Acest modul este conceput pentru a vă dota cu abilitățile și cunoștințele esențiale necesare pentru a efectua și interpreta meta-analiza, un instrument statistic puternic pentru sintetizarea rezultatelor cercetării în cadrul mai multor studii.

Pe parcursul modulului, veți învăța despre conceptele și metodologiile cheie care pot fi aplicate în diverse domenii, inclusiv medicină, psihologie, educație și științe sociale.

La sfârșitul acestui curs, veți fi capabil să evaluați critic literatura meta-analitică, să efectuați propriile meta-analize și să aplicați aceste tehnici pentru a crește rigoarea și fiabilitatea cercetării.

Fie că sunteți un cercetător începător sau experimentat, acest curs vă va oferi informații și instrumente pentru a vă îmbunătăți înțelegerea și practica metaanalizei.

José Manuel Carvalho Vieira (PhD)

Maia University (Portugal)


OBIECTIVE DE ÎNVĂȚARE

Participanții la acest modul trebuie să fie capabili să:

1. Să facă diferența între revizuirea sistematică și meta-analiză;

2. Să înțeleagă și să aplice metodologia complexă, componentele și metricile acesteia;

3. Evaluați calitatea, factorii și potențialele prejudecăți ale acesteia;

4. Realizarea proiectelor dvs. de metaanaliză.


CONȚINUTUL UNITĂȚII





REFERINȚE

AJE Team. (2023). Assessing and Avoiding Publication Bias in Meta-analyses | AJE. Springer Nature. https://www.aje.com/arc/assessing-and-avoiding-publication-bias-in-meta-analyses/

Blackhall, K., & Ker, K. (2007). Finding studies for inclusion in systematic reviews of interventions for injury prevention – the importance of grey and unpublished literature. Injury Prevention, 13(5), 359. https://doi.org/10.1136/ip.2007.017020

Cheung, M. W.-L. (2015). Meta-Analysis: A Structural Equation Modeling Approach. Wiley.

Cheung, M. W.-L., & Vijayakumar, R. (2016). A Guide to Conducting a Meta-Analysis. NEUROPSYCHOLOGY REVIEW, 26(2), 121–128. https://doi.org/10.1007/s11065-016-9319-z

Côté, I. M., & Jennions, M. D. (2013). 2. The Procedure of Meta-analysis in a Nutshell. In Handbook of Meta-analysis in Ecology and Evolution (pp. 14–24). Princeton University Press. https://doi.org/10.1515/9781400846184-004

Davis, D. W., Carrier, B., Barrios, B., Cruz, K., & Navalta, J. W. (2021). A protocol and novel tool for systematically reviewing the effects of mindful walking on mental and cardiovascular health. PLOS ONE, 16(10), 1–11. https://doi.org/10.1371/journal.pone.0258424

Deeks, J., Higgins, J., & Altman, D. (2023). Chapter 10: Analysing data and undertaking meta-analyses. In Cochrane Handbook for Systematic Reviews of Interventions version 6.4. https://training.cochrane.org/handbook/current

DerSimonian, R., & Kacker, R. (2007). Random-effects model for meta-analysis of clinical trials: An update. Contemporary Clinical Trials, 28(2), 105–114. https://doi.org/10.1016/j.cct.2006.04.004

Field, A. P., & Gillett, R. (2010). How to do a meta‐analysis. British Journal of Mathematical and Statistical Psychology, 63(3), 665–694. https://doi.org/10.1348/000711010X502733

Freelon, D. (2010). ReCal: Intercoder Reliability Calculation as a Web Service. International Journal of Internet Science, 5, 20–33.

Freelon, D. (2013). ReCal OIR: Ordinal, Interval, and Ratio Intercoder Reliability as a Web Service. Int. J. Internet Sci., 8, 10–16.

Glass, G. V. (1976). Primary, Secondary, and Meta-Analysis of Research. Educational Researcher, 5(10), 3–8. https://doi.org/10.3102/0013189X005010003

Gurevitch, J., Koricheva, J., Nakagawa, S., & Stewart, G. (2018). Meta-analysis and the science of research synthesis. Nature, 555(7695), 175–182. https://doi.org/10.1038/nature25753

Haddaway, N. R., Page, M. J., Pritchard, C. C., & McGuinness, L. A. (2022). PRISMA2020: An R package and Shiny app for producing PRISMA 2020-compliant flow diagrams, with interactivity for optimised digital transparency and Open Synthesis. Campbell Systematic Reviews, 18(2), 1–12. https://doi.org/10.1002/cl2.1230

Hansen, C., Steinmetz, H., & Block, J. (2022). How to conduct a meta-analysis in eight steps: A practical guide. Management Review Quarterly, 72(1), 1–19. https://doi.org/10.1007/s11301-021-00247-4

Harrer, M., Cuijpers, P., Furukawa, T. A., & Ebert, D. D. (2021). Pooling Effect Sizes | Doing Meta-Analysis in R. In Doing Meta-Analysis with R: A Hands-On Guide (1st ed.). Chapman & Hall/CRC. https://bookdown.org/MathiasHarrer/Doing_Meta_Analysis_in_R/pooling-es.html

Havranek, T., & Irsova, Z. (2016). Do Borders Really Slash Trade? A Meta-Analysis. IMF Economic Review, 65(2), 365–396. https://doi.org/10.1057/s41308-016-0001-5

Higgins, J., Thomas, J., Cumpston, C., & Welch, V. (2023). Cochrane Handbook for Systematic Reviews of Interventions version 6.4. Cochrane. https://training.cochrane.org/handbook/current

Ioannidis, J. (2017). Next-generation systematic reviews: Prospective meta-analysis, individual-level data, networks and umbrella reviews. British Journal of Sports Medicine, 51(20), 1456–1458. https://doi.org/10.1136/bjsports-2017-097621

Irsova, Z., Doucouliagos, H., Havranek, T., & Stanley, T. D. (2023). Meta-analysis of social science research: A practitioner’s guide. Journal of Economic Surveys, n/a(n/a). https://doi.org/10.1111/joes.12595

Jak, S. (2015). Meta-Analytic Structural Equation Modelling. Springer International Publishing. https://doi.org/10.1007/978-3-319-27174-3

Kaufmann, E., & Reips, U.-D. (2024). Meta-analysis in a digitalized world: A step-by-step primer. Behavior Research Methods. https://doi.org/10.3758/s13428-024-02374-8

Kepes, S., Wang, W., & Cortina, J. M. (2023). Heterogeneity in Meta-Analytic Effect Sizes: An Assessment of the Current State of the Literature. Organizational Research Methods, 10944281231169942. https://doi.org/10.1177/10944281231169942

Koricheva, J., Gurevitch, J., & Mengersen, K. (Eds.). (2013). Handbook of meta-analysis in ecology and evolution. Princeton University Press.

Mathur, M. B. (2024). Sensitivity analysis for the interactive effects of internal bias and publication bias in meta-analyses. Research Synthesis Methods, 15(1), 21–43. https://doi.org/10.1002/jrsm.1667

O’Rourke, K. (2007). An historical perspective on meta-analysis: Dealing quantitatively with varying study results. Journal of the Royal Society of Medicine, 100(12), 579–582. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2121629/

Page, M. J., Sterne, J. A. C., Higgins, J. P. T., & Egger, M. (2021). Investigating and dealing with publication bias and other reporting biases in meta-analyses of health research: A review. Research Synthesis Methods, 12(2), 248–259. https://doi.org/10.1002/jrsm.1468

Papakostidis, C., & Giannoudis, P. V. (2023). Meta-analysis. What have we learned? Injury, 54(3), S30–S34. https://doi.org/10.1016/j.injury.2022.06.012

Schmid, C. H., Stijnen, T., & White, I. R. (2020). Handbook of Meta-Analysis (C. H. Schmid, T. Stijnen, & I. White, Eds.; 1st ed.). Taylor and Francis. https://doi.org/10.1201/9781315119403

Seidler, A. L., Hunter, K. E., Cheyne, S., Ghersi, D., Berlin, J. A., & Askie, L. (2019). A guide to prospective meta-analysis. BMJ, l5342. https://doi.org/10.1136/bmj.l5342

Sen, S., & Yildirim, I. (2022). A Tutorial on How to Conduct Meta-Analysis with IBM SPSS Statistics. Psych, 4(4), Article 4. https://doi.org/10.3390/psych4040049

Sterne, J. A. C., Savović, J., Page, M. J., Elbers, R. G., Blencowe, N. S., Boutron, I., Cates, C. J., Cheng, H.-Y., Corbett, M. S., Eldridge, S. M., Emberson, J. R., Hernán, M. A., Hopewell, S., Hróbjartsson, A., Junqueira, D. R., Jüni, P., Kirkham, J. J., Lasserson, T., Li, T., … Higgins, J. P. T. (2019). RoB 2: A revised tool for assessing risk of bias in randomised trials. BMJ (Clinical Research Ed.), 366, l4898. https://doi.org/10.1136/bmj.l4898

Tawfik, G. M., Dila, K. A. S., Mohamed, M. Y. F., Tam, D. N. H., Kien, N. D., Ahmed, A. M., & Huy, N. T. (2019). A step by step guide for conducting a systematic review and meta-analysis with simulation data. Tropical Medicine and Health, 47(1), 46. https://doi.org/10.1186/s41182-019-0165-6

Wallace, B. C., Dahabreh, I. J., Schmid, C. H., Lau, J., & Trikalinos, T. A. (2013). Modernizing the systematic review process to inform comparative effectiveness: Tools and methods. Journal of Comparative Effectiveness Research, 2(3), 273–282. https://doi.org/10.2217/cer.13.17

Yusuff, H. (2023). Systematic review and meta-analysis. Journal of Global Medicine, 3(S1), e133. https://doi.org/10.51496/jogm.v3.S1.133

Zigraiova, D., Havranek, T., & Novak, J. (2020). How puzzling is the forward premium puzzle? A meta-analysis (46; Working Paper Series). European Stability Mechanism. https://www.esm.europa.eu/system/files/document/wp46.pdf


APENDICE