SPSS ile Meta-Analiz Nasıl Yapılır?

Abstract

Bu çalışmada, bir meta-analiz çalışmasında takip edilmesi gereken adımların ve SPSS programı içerisinde meta-analiz için gerekli analizleri yapmaya olanak sağlayan makroların (MEANES, METAF ve METAREG) tanıtılması amaçlanmıştır. Bu doğrultuda çalışmada SPSS ve makrolar için gerekli donanım özellikleri, programa erişim, makroların çalıştırılması, analizler ve çıktı dosyaları üzerinde durulmuştur. Ayrıca korelasyon katsayısının etki büyüklüğü olarak ele alındığı 30 çalışma içeren simüle edilmiş bir veri seti üzerinden örnek uygulamalar yapılmıştır. Üç farklı SPSS makrosu üzerinden aynı veri seti kullanılarak sırayla ortalama etki büyüklüğü değeri, alt grup analizleri ve meta-regresyon analizleri gerçekleştirilmiştir. Elde edilen sonuçlardan yola çıkarak farklı analiz türleri için elde edilmesi gereken bulgular ve yorumlar üzerinde durulmuştur. Araştırma sonucunda SPSS makroları hakkında bir ön bilgi verilmeye çalışılmış, makroların avantajlı ve dezavantajlı yönleri tartışılmıştır.

Keywords

• Meta-analiz,SPSS makro,analog ANOVA,meta-regresyon

How to Do Meta-Analysis with SPSS?

Abstract

In this study, it is aimed to introduce the steps that need to be followed in a meta-analysis study and the macros (MEANES, METAF and METAREG) which enable analysis of the meta-analysis in the SPSS program. In this respect, the necessary hardware features for SPSS and macros, access to the program, execution of the macros, details of the analyses and output files were emphasized. In addition, sample applications have been demonstrated using a simulated data set containing 30 studies, where the correlation coefficient is considered to be the effect size. Mean effect size value calculation, subgroup analysis and meta-regression analysis were performed using the same data set in three different SPSS macros. Based on the results obtained, the findings and interpretations which should be obtained for different types of analysis were emphasized. As a result of the study, it was attempted to give preliminary information about SPSS macros and the advantages and disadvantages of macros were discussed.

Keywords

• Meta-analysis,SPSS macro,analog to the ANOVA,meta-regression

References

1. APA Publications and Communications Board Working Group on Journal Article Reporting Standards. (2008). Reporting standards for research in psychology: Why do we need them? What might they be? American Psychologist, 63(9), 839–851.
2. Barendregt, J., & Doi, S. (2010). MetaXL User Guide: Version 1.0. Wilston, Australia: EpiGear International Pty Ltd.
3. Basu, A. (2017). How to conduct meta-analysis: a basic tutorial. https://ir.canterbury.ac.nz/bitstream/handle/10092/14582/conduct-meta%20analysis(1).pdf?isAllowed=y&sequence=2 adresinden alınmıştır.
4. Bax, L., Yu, L. M., Ikeda, N., Tsuruta, H., & Moons, K. G. (2006). Development and validation of MIX: comprehensive free software for meta-analysis of causal research data. BMC medical research methodology, 6(1), 50.
5. Bax, L., Yu, L. M., Ikeda, N., & Moons, K. G. (2007). A systematic comparison of software dedicated to meta-analysis of causal studies. BMC Medical Research Methodology, 7(1), 40.
6. Begg, C. B., & Mazumdar, M. (1994). Operating characteristics of a rank correlation test for publication bias. Biometrics, 50, 1088–1101.
7. Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2005). Comprehensive Meta-analysis (Version 2.2.027) [Computer software]. Englewood, NJ: Biostat.
8. Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. West Sussex, UK: John Wiley & Sons, Ltd.

9. Cheung, M. W. L. (2015). metaSEM: An R package for meta-analysis using structural equation modeling. Frontiers in Psychology, 5, 1521.
10. Collaboration, T. C. (2008). Review Manager (RevMan). Copenhagen: The Nordic Cochrane Centre.
11. Duval, S., & Tweedie, R. (2000). A nonparametric “trim and fill” method of accounting for publication bias in meta-analysis. Journal of the American Statistical Association, 95(449), 89–98.
12. Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. Bmj, 315(7109), 629-634.
13. Field, A. P. (2001). Meta-analysis of correlation coefficients: a Monte Carlo comparison of fixed-and random-effects methods. Psychological Methods, 6(2), 161–180.
14. Field, A. P., & Gillett, R. (2010). How to do a meta‐analysis. British Journal of Mathematical and Statistical Psychology, 63(3), 665–694.
15. Fisher, Z., & Tipton, E. (2015). Robumeta: An R-package for robust variance estimation in meta-analysis.
16. Glass, G. V. (1976). Primary, secondary and meta-analysis of research. Educational Researcher, 5, 3–8.
17. Glass, G. V. (1977). Integrating findings: The meta-analysis of research. Review of Research in Education, 5, 351–379.
18. Guyatt, G. H., Oxman, A. D., Kunz, R., Atkins, D., Brozek, J., Vist, G., ... & Schünemann, H. J. (2011). GRADE guidelines: 2. Framing the question and deciding on important outcomes. Journal of clinical epidemiology, 64(4), 395–400.
19. Hans, E., & Hiller, W. (2013). Effectiveness of and dropout from outpatient cognitive behavioral therapy for adult unipolar depression: A meta-analysis of nonrandomized effectiveness studies. Journal of Consulting and Clinical Psychology, 81(1), 75–88.
20. Hattie, J. (2009). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. New York, NY: Routledge.
21. Hayes, A. F. (2018). Using SPSS: A Little Syntax Guide. Unpublished manuscript. http://afhayes.com/using-spss-a-little-syntax-guide.html adresinden alınmıştır.
22. Hedges, L. V., & Vevea, J. L. (1998). Fixed-and random-effects models in meta-analysis. Psychological Methods, 3, 486–504.
23. Higgins, J. P., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003). Measuring inconsistency in meta-analyses. Bmj, 327(7414), 557–560.
24. IBM SPSS statistics (2016). Version 24. Armonk, NY: IBM Analytics.
25. Johnson, B. T., & Wood, T. (2006). DSTAT 2.00: Software for meta-analysis. Storrs, CT, USA: Author.
26. Kenny, D. A. (1999). Meta-analysis: Easy to answer. Unpublished manuscript, University of Connecticut.
27. Kontopantelis, E., & Reeves, D. (2009). MetaEasy: A meta-analysis add-in for Microsoft Excel. Journal of Statistical Software, 30(7), 1–25.
28. Lipsey, M. W., & Wilson, D. (2000). Practical meta-analysis. Thousand Oaks: CA, SAGE Publications, Inc.
29. Litster, K., & Roberts, J. (2011). The self-concepts and perceived competencies of gifted and non-gifted students: a meta-analysis. Journal of Research in Special Educational Needs, 11(2), 130–140.
30. Lumley, T. (2009). rmeta: Meta-analysis. R package version, 2.
31. Martorell-Marugan, J., Toro-Dominguez, D., Alarcon-Riquelme, M. E., & Carmona-Saez, P. (2017). MetaGenyo: a web tool for meta-analysis of genetic association studies. BMC bioinformatics, 18(1), 563.
32. Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Annals of internal medicine, 151(4), 264–269.
33. Moher, D., Cook, D. J., Eastwood, S., Olkin, I., Rennie, D., Stroup, D., & The QUOROM group. (1999). Improving the quality of reporting of meta-analysis of randomized controlled trials: The QUOROM statement. Lancet, 354(9193), 1896–1900.
34. Mullen, B. (2013). Advanced basic meta-analysis: Version 1.10. Psychology Press.
35. OpenMeta[Analyst] (2012). http://www.cebm.brown.edu/open_meta adresinden alınmıştır.
36. Orwin, R. G. (1983). A fail-safe N for effect size in meta-analysis. Journal of Educational Statistics, 8(2), 157–159.
37. Polanin, J. R., Hennessy, E. A., & Tanner-Smith, E. E. (2017). A review of meta-analysis packages in R. Journal of Educational and Behavioral Statistics, 42(2), 206–242.
38. R Development Core Team (2010). R: A language and environment for statistical computing [Computer software]. Vienna, Austria. Available from http://www.R-project.org
39. Rosenberg, M. S., Adams, D. C., & Gurevitch, J. (1997). MetaWin: statistical software for meta-analysis with resampling tests. Sinauer Associates.
40. Rosenthal, R. (1979). The ‘file drawer problem’ and tolerance for null results. Psychological Bulletin, 86, 638–641.
41. Rosenthal, R. (1995). Writing meta-analytic reviews. Psychological Bulletin, 118(2), 183–192.
42. Rudner, L. (1993). Meta-stat: software to aid in the meta-analysis of research findings, version 1.3. Chevy Chase, MD: LMP, 38–62.
43. SAS, S. (2003). Institute Inc. SAS/IML Software: Usage and Reference, Version, 6.
44. Schwarzer, R. (1996). Manual for Meta-Analysis Programs. Freie Universitat Berlin.
45. Schwarzer, G., & Schwarzer, M. G. (2012). Package ‘meta’. The R Foundation for Statistical Computing, 9. http://cran.r-project.org/web/packages/meta/index.html adresinden alınmıştır.
46. StataCorp. (2000). Stata Statistical Software: Release 7.0. College Station, TX: Stata Corporation.
47. Sterne J. (2009). Meta-Analysis in Stata: An Updated Collection From the Stata Journal. College Station, TX: Stata Press; 2009.
48. Stroup, D. F., Berlin, J. A., Morton, S. C., Olkin, I., Williamson, G. D., Rennie, D., . . . Thacker, S. B. (2000). Meta-analysis of observational studies in epidemiology: A proposal for reporting. The Journal of the American Medical Association, 283(15), 2008–2012.
49. Şen S., & Akbaş, N. (2016). Çok düzeyli meta-analiz yöntemleri üzerine bir çalışma. Eğitimde ve Psikolojide Ölçme ve Değerlendirme Dergisi, 7(1), 1–17.
50. Üstün, U., & Eryılmaz, A. (2014). Etkili araştırma sentezleri yapabilmek için bir araştırma yöntemi: Meta-analiz. Eğitim ve Bilim, 39(174), 1–32.
51. Van Houwelingen, H. C., Arends, L. R., & Stijnen, T. (2002). Advanced methods in meta‐analysis: multivariate approach and meta‐regression. Statistics in Medicine, 21(4), 589–624.
52. Viechtbauer, W. (2015). Metafor: Meta-analysis package for R version 1.9-2.
53. Wilson, D. B. (2006). SPSS, STATA, & SAS macros for performing meta-analytic analyses. http://mason.gmu.edu/~dwilsonb/ma.html adresinden alınmıştır.
54. Wilson, K. E., & Dishman, R. K. (2015). Personality and physical activity: A systematic review and meta-analysis. Personality and Individual Differences, 72, 230–242.