Assessing the reliability of the Beck Depression Inventory adapted for Turkish culture: A meta-analysis

Abstract

This study aims to determine the reliability of the Beck Depression Inventory (BDI), a widely used tool for diagnosing depression—a condition that significantly impacts individuals' lives—through meta-analysis, an advanced statistical technique. To achieve this objective, studies conducted in Turkey between 1961 and 2021 that utilized the Beck Depression Inventory were included. Relevant studies were identified through searches in the "Higher Education Council (HEC) National Thesis Center" and Google Scholar databases. The inclusion criteria focused on studies that reported validity and reliability analyses and contained the keywords “Beck Depression Inventory” or “Beck Depression Scale.” The effect size was calculated using the Cohen's d formula. The meta-analysis revealed an overall reliability coefficient of 0.88 for the Beck Depression Inventory, which, based on Cohen's d classification, represents a large effect size.

Keywords

• Meta-analysis
• Beck Depression Scale
• Validity
• Reliability

References

1. Abdulkerim, Ş. (2019). Determination of depression and anxiety symptom levels and related factors in individuals with chronic obstructive pulmonary disease [Unpublished master’s thesis]. Gazi University.
2. Abramson, J.H. (1994). Making sense of data (2nd ed.). Oxford University Pres.
3. Alan, H. (2015). Effect of progressive muscle relaxation exercises and reflexology applied during chemotherapy treatment on pain, fatigue, anxiety, depression and gynecologic cancer patients' quality of life in randomized control study [Unpublished master’s thesis]. Hacettepe University.
4. American Psychiatric Association (2000). Diagnostic and statistical manual of mental disorders (Revised 4th ed.). American Psychiatric Association.
5. Arthur Jr, W., Bennett, W., & Huffcutt, A.I. (2001). Conducting meta-analysis using SAS. Psychology Press.
6. Atalmış, E.H., & Köse, A. (2018). Turkish prospective teachers’ attitudes towards the teaching profession: a meta-analysis study. Journal of Measurement and Evaluation in Education and Psychology, 9(4), 393-413. https://doi.org/10.21031/epod.410287
7. Beck, A.T., Steer, R.A., & Brown, G.K. (1996). Manual for the Beck Depression Inventory-II. Psychological Corporation.
8. Belsher, G., & Costello, C.G. (1988). Relapse after recovery from unipolar depression: a critical review. Psychological Bulletin 104, 84–96.

9. Borenstein, M., Hedges, L.V., Higgins, J.P.T., & Rothstein, H.R. (2009). Introduction to meta-analysis. Wiley.
10. Bozyel, G. (2017). An examination of the mediating role of metacognition in the relationship between childhood trauma and psychological symptoms among undergraduate students [Unpublished master’s thesis]. Dokuz Eylül University.
11. Burcusa S.L., & Iacono W.G. (2007). Risk for recurrence in depression. Clinical Psychology Review 27, 959–985.
12. Card, N.A. (2011). Applied meta-analysis for social science research. The Guilford Press.
13. Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates.
14. Cooper, H., Hedges, L.V., & Valentine, J.C. (2009). The handbook of research synthesis and meta-analysis (2nd ed.). Russell Sage.
15. Dağ, B. (2012). Sleep behaviour of adolescents and the factors affecting it [Unpublished master’s thesis]. İstanbul University.
16. Demiray, P. (2013). The effect of project based learning method: A meta analytic study [Unpublished master’s thesis]. Ankara University.
17. Dinçer, S. (2014). Eğitim bilimlerinde uygulamalı meta analiz. Pegem Akademi.
18. Dozois, D.J.A., & Covin, R. (2004). The Beck Depression Inventory-II (BDI-II), Beck Hopelessness Scale (BHS), and Beck Scale for Suicide Ideation (BSS). In M.J. Hilsenroth & D.L. Segal (Eds.), Comprehensive handbook of psychological assessment (Vol. 2, pp. 50–69). John Wiley & Sons Inc.
19. 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. https://doi.org/10.1080/01621459.2000.10473905
20. 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. https://doi.org/10.1136/bmj.315.7109.629
21. Eser, M.T., & Aksu, G. (2021). Beck Depression Inventory-II: A study for meta-analytical reliability generalization. Pegem Journal of Education and Instruction, 11(3), 88-101. https://doi.org/10.14527/pegegog.2021.013
22. Field, A.P. (2001). Meta-analysis of correlation coefficients: A Monte Carlo comparison of fixed and random-effects methods. Psychological Methods, 6(2), 161.
23. García-Batista, Z.E., Guerra-Peña, K., Cano-Vindel, A., Herrera-Martínez, S.X., & Medrano, L.A. (2018). Validity and reliability of the Beck Depression Inventory (BDI-II) in general and hospital population of Dominican Republic. PloS one, 13(6). https://doi.org/10.1371/journal.pone.0199750
24. Glass, G.V. (1976). Primary, secondary, and meta-analysis of research. Educational Researcher, 5(10), 3-8.
25. Gözüyeşil, E. (2012). The effect of brain based learning on academic achievement: A meta analytic study [Unpublished master’s thesis]. Niğde University.
26. Hamidi, R., Fekrizadeh, Z., Azadbakht, M., Garmaroudi, G., Taheri Tanjani, P., Fathizadeh, S., & Ghisvandi, E. (2015). Validity and reliability Beck Depression Inventory-II among the Iranian elderly population. Journal of Sabzevar University of Medical Sciences, 22(1), 189-198. https://doi.org/10.21859/jsums-2201189
27. Hedges, L.V., & Olkin, I. (1985). Statistical methods for meta-analysis. Academic Press.
28. Higgins, J.P.T., & Green, S. (Eds.). (2011). Cochrane handbook for systematic reviews of interventions. Wiley-Blackwell. https://doi.org/10.1002/9780470712184
29. Higgins, J.P.T., & Thompson, S.G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21(11), 1539-1558.
30. Kablan, Z., Topan, B., & Erkan, B. (2013). The effectiveness level of material use in classroom instruction: A meta-analysis study. Educational Sciences: Theory & Practice, 13(3), 1629-1644. https://doi.org/10.12738/estp.2013.3.1692
31. Kahveci, M. (2020). Sexual function status, depression and marital adjustment in women in the climacteric period [Unpublished master’s thesis]. İzmir Katip Çelebi University]
32. Keleş Gözütok, Ç. (2019). The effect of anxıety, depression and fear of childbirth on labor results in last trımester pregnancy [Unpublished master’s thesis]. İstanbul Medipol University.
33. Landis, J.R., & Koch, G.G. (1977). The measurement of observer agreement for categorical data. Biometrics, 33(1), 159-174. https://doi.org/10.2307/2529310
34. McDermott, L.M., & Ebmeier, K.P. (2009). A meta-analysis of depression severity and cognitive function. Journal of Affective Disorders, 119(1 3), 1 8. https://doi.org/10.1016/j.jad.2009.04.022
35. Monroe, S.M., & Harkness, K.L. (2012). Is depression a chronic mental illness? Psychological Medicine, 42(5), 899-902. https://doi.org/10.1017/S0033291711002066
36. Orhan, Ç. (2019). Evaluation of depression and quality of life of women with breast cancer. [Unpublished master’s thesis]. Trakya University.
37. Orwin, R.G. (1983). A fail-safe N for effect size in meta-analysis. Journal of Educational Statistics, 8(2), 157-159.
38. Rosenthal, R. (1979). The ‘file-drawer problem’ and tolerance for null results. Psychological Bulletin, 86(3), 638-641.
39. Rothstein, H.R., Sutton, A.J., & Borenstein, M. (2005). Publication bias in meta-analysis: Prevention, assessment and adjustments. Wiley.
40. Steer, R.A., & Clark, D.A. (1997). Psychometric characteristics of the Beck Depression Inventory-II with college students. Measurement and Evaluation in Counseling and Development, 30(3), 128–136.
41. Şahin, M.C., & Tekdal, M. (2005). İnternet tabanlı uzaktan eğitimin etkililiği: Bir meta-analiz çalışması [The Effectiveness of Internet-Based Distance Education: A Meta-Analysis Study]. Proceedings of the Academic Informatics 2005 Conference, 2(4), 467–474.
42. Şen, S., & Yıldırım, İ. (2020). CMA ile meta-analiz uygulamaları. Anı Yayıncılık.
43. Sevilmiş, R. (2019). The relationship between internet addiction and depression among university students [Unpublished master’s thesis]. Üsküdar University.
44. Sim, J., & Wright, C.C. (2005). The Kappa statistic in reliability studies: Use, interpretation, and sample size requirements. Physical Therapy, 85(3), 257 268. https://doi.org/10.1093/ptj/85.3.257
45. Solomon, D.A., Keller, M.B., Leon, A.C., Mueller, T.I., Lavori, P.W., Shea, M.T., … Endicott, J. (2000). Multiple recurrences of major depressive disorder. American Journal of Psychiatry, 157, 229–233. https://doi.org/10.1176/appi.ajp.157.2.229
46. Sutton, A.J., & Higgins, J.P.T. (2008). Recent developments in meta-analysis. Statistics in Medicine, 27(20), 2077-2090. https://doi.org/10.1002/sim.3108
47. Temel, S., Yildiz, T., & Aslan, F.E. (2020). The effect of marital status on burnout levels of nurses: A meta-analysis study. Journal of Clinical Medicine of Kazakhstan, 4(58), 51-56. https://doi.org/10.23950/jcmk/vol04iss58/a9
48. Thalheimer, W., & Cook, S. (2002). How to calculate effect sizes from published research articles: A simplified methodology. Educational and Psychological Measurement, 62(3), 503–514. https://doi.org/10.1177/0013164402042001
49. Turan, Y. (2020). The effect of functional dependence of stroke patients on depression and quality of life [Unpublished master’s thesis]. Tekirdağ Namık Kemal University.
50. Türkmen, E. (2019). Examination of the relationship between personality traits, anger expressi̇on styles and depressive symptoms in university [Unpublished master’s thesis]. Maltepe University.
51. Ulubey, Ö., & Toraman, Ç. (2015). The effect of creative drama on students' academic achievement: A meta-analysis study. Mustafa Kemal University Journal of Social Sciences Institute, 12(32), 195-220. https://doi.org/10.16992/mku.209027
52. Wang, Y.P., & Gorenstein, C. (2013). Psychometric properties of the Beck Depression Inventory-II: a comprehensive review. Brazilian Journal of Psychiatry, 35, 416-431. https://doi.org/10.1590/1516-4446-2012-1048
53. Wiebe, J.S., & Penley, J.A. (2005). A psychometric comparison of the Beck Depression Inventory II in English and Spanish. Psychological assessment, 17(4), 481. https://doi.org/10.1037/1040-3590.17.4.481
54. Yıldırım, A., & Çevik, B. (2010). Orem’s self-care deficit theory-based assessment on the nursing interventions for a diabetic foot case. Journal of Continuing Medical Education, 25(5), 205-212. https://doi.org/10.23950/jcmk/vol25iss5/a9
55. Yılmaz, B.T. (2017). Effects of aerobic exercises on the life quality, self-esteem and depression levels of the individuals with depression. [Doctoral Dissertation, Cumhuriyet University].
56. Yılmaz, H. (2019). Care burden, depression and related factors of caregivers with bipolar disorder [Unpublished master’s thesis]. Aydın Adnan Menderes University.
57. Zis, A.P., & Goodwin, F.K. (1979). Major affective disorder as a recurrent illness: A critical review. Archives of General Psychiatry, 36(3), 293-303.