A Reliability Generalization Meta-analysis of the Dimensional Obsessive-Compulsive Scale

  1. Rubén López-Nicolás 1
  2. María Rubio-Aparicio 2
  3. Carmen López-Ibáñez 1
  4. Julio Sánchez-Meca 1
  1. 1 Universidad de Murcia
    info

    Universidad de Murcia

    Murcia, España

    ROR https://ror.org/03p3aeb86

  2. 2 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

Revista:
Psicothema

ISSN: 0214-9915 1886-144X

Año de publicación: 2021

Título del ejemplar: Monográfico Mariano Yela

Volumen: 33

Número: 3

Páginas: 481-489

Tipo: Artículo

DOI: 10.7334/PSICOTHEMA2020.455 DIALNET GOOGLE SCHOLAR lock_openAcceso abierto editor

Otras publicaciones en: Psicothema

Resumen

Antecedentes: la Dimensional Obsessive-Compulsive Scale (DOCS) (Abramowitz, 2010) es un instrumento para la evaluación del TOC. En este estudio se llevó a cabo un estudio de generalización de la fiabilidad de la DOCS para estimar un coeficiente alfa medio y analizar la heterogeneidad de estos y el influjo de distintas variables moderadores. Método: se realizó una búsqueda bibliográfica de 86 estudios incluibles. Resultados: para la escala total, se estimó un coeficiente alfa medio de .925, así como para sus subescalas: Contaminación .881, Responsabilidad con respecto al daño .905, Pensamientos inaceptables .913 y Simetría .913. Los análisis de moderadores revelaron que la consistencia interna disminuyó significativamente a mayor porcentaje de participantes clínicos o subclínicos en la muestra, así como a mayor puntuación media de la muestra para las puntuaciones totales; para las subescalas la desviación típica y la media de las puntuaciones fueron los moderadores más relevantes. Conclusiones: las puntuaciones de la DOCS muestran una excelente fiabilidad por consistencia interna, tanto para la escala global como para las subescalas, pudiendo usarse tanto para fines clínicos como de investigación

Información de financiación

This research was funded with a grant from the Spanish Government, Ministerio de Economía, Industria y Competitividad, and FEDER funds (project n. PSI2016-77676-P).

Referencias bibliográficas

  • Abramowitz, J.S., Deacon, B.J., Olatunji, B.O., Wheaton, M.G., Berman, N.C., Losardo, D., Timpano, K.R., McGrath, P.B., Riemann, B.C., Adams, T., Björgvinsson, T., Storch, E.A., & Hale, L.R. (2010). Assessment of obsessive-compulsive symptom dimensions: Development and evaluation of the Dimensional Obsessive-Compulsive Scale. Psychological Assessment, 22(1), 180-198. https://doi.org/10.1037/a0018260
  • Appelbaum, M., Cooper, H., Kline, R.B., Mayo-Wilson, E., Nezu, A.M., & Rao, S.M. (2018). Journal article reporting standards for quantitative research in psychology: The APA publications and communications board task force report. American Psychologist, 73, 3-25. https://doi. org/10.1037/amp0000191
  • Bonett, D.G. (2002). Sample size requirements for estimating intraclass correlations with desired precision. Statistics in Medicine, 21(9), 1331- 1335.
  • Botella, J., Suero, M., & Gambara, H. (2010). Psychometric inferences from a meta-analysis of reliability and internal consistency coefficients. Psychological Methods, 15(4), 386-397. https://doi.org/10.1037/ a0019626
  • Charter, R.A. (2003). A breakdown of reliability coefficients by test type and reliability methods, and the clinical implications of low reliability. The Journal of General Psychology, 130, 290-304. https://doi. org/10.1080/00221300309601160
  • Cooper, H., Hedges, L.V., & Valentine, J.C. (2019). The handbook of research synthesis and meta-analysis (3rd ed.). Russell Sage Foundation.
  • Crocker, L., & Algina, J. (1986). Introduction to classical and modern test theory. Holt, Rinehart, & Winston.
  • Green, C.E., Chen, C.E., Helms, J.E., & Henze, K.T. (2011). Recent reliability reporting practices in Psychological Assessment: Recognizing the people behind the data. Psychological Assessment, 23, 656-669. https://doi.apa.org/doi/10.1037/a0023089
  • Gu, F., Little, T.D., & Kingston, N.M. (2013). Misestimation of reliability using coefficient alpha and structural equation modeling when assumptions of tau-equivalence and uncorrelated errors are violated. Methodology, 9(1), 30-40. https://doi.org/10.1027/1614-2241/ a000052
  • Hartung, J., & Knapp, G. (2001). On tests of the overall treatment effect in the meta-analysis with normally distributed responses. Statistics in Medicine, 20, 1771-1782. https://doi.org/10.1002/sim.791
  • Heldref Foundation (1997). Guidelines for contributors. Journal of Experimental Education, 65, 95-96.
  • Henson, R.K., & Thompson, B. (2002). Characterizing measurement error in scores across studies: Some recommendations for conducting “reliability generalization” studies. Measurement and Evaluation in Counseling and Development, 35, 113-127. https://doi.org/10.1080/07 481756.2002.12069054
  • Higgins, J.P.T., & Thompson, S.G. (2002). Quantifying heterogeneity in a meta-analysis. Statistics in Medicine, 21, 1539-1558. https://doi. org/10.1002/sim.1186
  • Huedo-Medina, T.B., Sánchez-Meca, J., Marín-Martínez, F., & Botella, J. (2006). Assessing heterogeneity in meta-analysis: Q statistic or I² index? Psychological Methods, 11(2), 193-206. https://doi.org/10.1037/1082- 989x.11.2.193
  • Knapp, G., & Hartung, J. (2003). Improved tests for a random effects meta-regression with a single covariate. Statistics in Medicine, 22, 2693- 2710. https://doi.org/10.1002/sim.1482
  • Lenz, A.S., Ho, C.-M., Rocha, L., & Aras, Y. (2020). Reliability generalization of scores on the Post-Traumatic Growth Inventory. Measurement and Evaluation in Counseling and Development. Advance online publication. https://doi.org/10.1080/07481756.2020.1747940
  • López-López, J.A., Botella, J., Sánchez-Meca, J., & Marín-Martínez, F. (2013). Alternatives for mixed-effects meta-regression models in the reliability generalization approach: A simulation study. Journal of Educational and Behavioral Statistics, 38(5), 443-469. https://doi. org/10.3102/1076998612466142
  • López-Pina, J.A., Sánchez-Meca, J., López-López, J.A., Marín-Martínez, F., Núñez-Núñez, R.M., Rosa-Alcázar, A.I., Gómez-Conesa, A., & Ferrer-Requena, J. (2015). The Yale-Brown Obsessive Compulsive Scale: A reliability generalization meta-analysis. Assessment, 22(5), 619-628. https://doi.org/10.1177/1073191114551954
  • Mataix-Cols, D., Rosario-Campos, M.C., & Leckman, J.F. (2005). A multidimensional model of obsessive-compulsive disorder. The American Journal of Psychiatry, 162(2), 228-238. https://doi. org/10.1176/appi.ajp.162.2.228
  • McNeish, D. (2018). Thanks coeffi cient alpha, we’ll take it from here. Psychological Methods, 23, 412-412. https://doi.org/10.1037/met0000144
  • Nunnally J.C., & Bernstein I.H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
  • Ñúñez-Ñúñez, R.M., Rubio-Aparicio, M., Marín-Martínez, F., Sánchez-Meca, J., López-Pina, J.A., & López-López, J.A. (2020). A reliability generalization meta-analysis of the Padua Inventory-Revised (PIR-R) [Manuscript submitted for publication]. Meta-Analysis Unit, Department of Basic Psychology and Methodology, University of Murcia.
  • Rodríguez, M.C., & Maeda, Y. (2006). Meta-analysis of coefficient alpha. Psychological Methods, 11, 306-322. https://doi.org/10.1037/1082- 989X.11.3.306
  • Rubio-Aparicio, M., Núñez-Núñez, R.M., Sánchez-Meca, J., López-Pina, J.A., Marín-Martínez, F., & López-López, J.A. (2020). The Padua Inventory–Washington State University Revision of obsessions and compulsions: A reliability generalization meta-analysis. Journal of Personality Assessment, 102(1), 113-123. https://doi.org/10.1080/002 23891.2018.1483378
  • Ruscio, A.M., Stein, D.J., Chiu, W.T., & Kessler, R.C. (2010). The epidemiology of obsessive-compulsive disorder in the National Comorbidity Survey Replication. Molecular Psychiatry, 15, 53-63. https://doi.org/10.1038/mp.2008.94
  • Sánchez-Meca, J., & Marín-Martínez, F. (2008). Confidence intervals for the overall effect size in random-effects meta-analysis. Psychological Methods, 13(1), 31-48. https://doi.org/10.1037/1082-989X.13.1.31
  • Sánchez-Meca, J., López-Pina, J.A., López-López, J.A., Marín-Martínez, F., Rosa-Alcázar, A.I., & Gómez-Conesa, A. (2011). The Maudsley Obsessive-Compulsive Inventory: A reliability generalization metaanalysis. International Journal of Clinical and Health Psychology, 11(3), 473-493.
  • Sánchez-Meca, J., López-López, J.A., & López-Pina, J.A. (2013). Some recommended statistical analytic practices when reliability generalization studies are conducted. The British Journal of Mathematical and Statistical Psychology, 66(3), 402-425. https://doi. org/10.1111/j.2044-8317.2012.02057.x
  • Sánchez-Meca, J., López-Pina, J.A., Rubio-Aparicio, M., Marín-Martínez, F., Núñez-Núñez, R.M., López-García, J.J., & López-López, J.A. (2019, May 27-31). REGEMA: Guidelines for conducting and reporting reliability generalization meta-analyses [Paper presentation]. Research Synthesis, Dubrovnik, Croatia. http://dx.doi.org/10.23668/ psycharchives.2449
  • Sánchez-Meca, J., Marín-Martínez, F., Núñez-Núñez, R.M., Rubio-Aparicio, M., López-López, J.A., Blázquez-Rincón, D.M., López-Ibáñez, C., López-Nicolás, R., López-Pina, J.A., & López-García, J.J. (2019, July 8-10). Reporting practices of reliability generalization meta-analysis: An assessment with the REGEMA checklist [Paper presentation]. XVI Congress of Methodology of the Social and Health Sciences, Madrid, Spain.
  • Sánchez-Meca, J., Rubio-Aparicio, M., López-Pina, J.A., Núñez-Núñez, R.M., & Marín-Martínez, F. (2015, July). The phenomenon of reliability induction in the social and health sciences [Paper presentation]. XIV Congress of Methodology of Social and Health Sciences, Palma de Mallorca, Spain.
  • Sánchez-Meca, J., Rubio-Aparicio, M., Núñez-Núñez, R.M., López-Pina, J.A., Marín-Martínez, F., & López-López, J.A. (2017). A reliability generalization meta-analysis of the Padua Inventory of Obsessions and Compulsions. The Spanish Journal of Psychology, 20, 1-15. https://doi. org/10.1017/sjp.2017.65
  • Scherer, R., & Teo, T. (2020). A tutorial on the meta-analytic structural equation modeling of reliability coefficients. Psychological Methods, 25(6), 747-775. http://dx.doi.org/10.1037/met0000261
  • Shields, A.L., & Caruso, J.C. (2004). A reliability induction and reliability generalization study of the cage questionnaire. Educational and Psychological Measurement, 64(2), 254-270. https://doi. org/10.1177/0013164403261814
  • Sijtsma, K. (2009). On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74, 107-120. https://doi. org/10.1007/s11336-008-9101-0
  • Streiner, D.L., & Norman, G.R. (2008). Health measurement scales: A practical guide to their development and use (4th ed.). Oxford University Press.
  • Thompson, B. (1994). Guidelines for authors. Educational and Psychological Measurement, 54, 837-847.
  • Vacha-Haase, T. (1998). Reliability generalization: Exploring variance in measurement error affecting score reliability across studies. Educational and Psychological Measurement, 58, 6-20. https://doi. org/10.1177/0013164498058001002
  • Vacha-Haase, T., Kogan, L.R., & Thompson, B. (2000). Sample compositions and variabilities in published studies versus those of test manuals: Validity of score reliability inductions. Educational and Psychological Measurement, 60, 509-522. https://doi.org/10.1177/ 00131640021970682
  • Viechtbauer, W. (2010). Conducting meta-analyses in R with the metaphor package. Journal of Statistical Software, 36, 1-48. https://doi. org/10.18637/jss.v036.i03
  • Viechtbauer, W., López-López, J.A., Sánchez-Meca, J., & Marín-Martínez, F. (2015). A comparison of procedures to test for moderators in mixedeffects meta-regression models. Psychological Methods, 20(3), 360- 374. https://doi.org/10.1037/met0000023
  • Watkins, M.W. (2017). The reliability of multidimensional neuropsychological measures: From alpha to omega. The Clinical Neuropsychologist, 31(6-7), 1113-1126. http://dx.doi.org/10.1080/138 54046.2017.1317364
  • Wilkinson, L., & the APA Task Force on Statistical Inference (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594-604.
  • Yang, Y., & Green, S.B. (2011). Coefficient alpha: A reliability coefficient for the 21st Century? Journal of Psychoeducational Assessment, 29, 377-392. https://doi.org/10.1177%2F0734282911406668