Factorial invariance of the Patient Health Questionnaire and Generalized Anxiety Disorder Questionnaire

British Journal of Clinical Psychology

Volumn 52, Issue 4, 2013, Pages 438-449

  Ryan, Travis A ^a   Bailey, Alastair ^b   Fearon, Pasco ^a   King, John ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b Camden Psychological Therapies Service   (United Kingdom)

Author keywords

Confirmatory factor analysis; Factorial invariance; GAD 7; IAPT; PHQ 9

Indexed keywords

ADULT; ANXIETY; ANXIETY DISORDER; ARTICLE; CONFIRMATORY FACTOR ANALYSIS; DEPRESSION; EVALUATION STUDY; FACTORIAL ANALYSIS; FACTORIAL INVARIANCE; FEMALE; GAD-7; HUMAN; IAPT; MALE; MIDDLE AGED; PATIENT HEALTH QUESTIONNAIRE 9; PSYCHOLOGICAL ASPECT; PSYCHOLOGICAL RATING SCALE; QUESTIONNAIRE; REPRODUCIBILITY; STANDARD; TELEPHONE; UNITED KINGDOM; ANXIETY DISORDERS; DEPRESSIVE DISORDER; PSYCHOLOGY; STANDARDS;

CONFIRMATORY FACTOR ANALYSIS; FACTORIAL INVARIANCE; GAD-7; IAPT; PHQ-9;

ADULT; ANXIETY; ANXIETY DISORDERS; DEPRESSION; DEPRESSIVE DISORDER; FACTOR ANALYSIS, STATISTICAL; FEMALE; HUMANS; LONDON; MALE; MIDDLE AGED; PSYCHIATRIC STATUS RATING SCALES; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; TELEPHONE;

EID: 84885986576     PISSN: 01446657     EISSN: 20448260     Source Type: Journal    
DOI: 10.1111/bjc.12028     Document Type: Article

References (39)

1. Bowling, A., (2005). Mode of questionnaire administration can have serious effects on data quality. Journal of Public Health, 27, 281-291. doi: 10.1093/pubmed/fdi031
2. Burnham, K. P., &, Anderson, D. R., (2002). Model selection and multimodel inference: A practical information-theoretic approach (2nd ed.). New York, NY: Springer.
3. Byrne, B. M., (2001). Structural equation modeling with AMOS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum.
4. Byrne, B. M., &, Stewart, S. M., (2006). Teacher's corner: The MACS approach to testing for multigroup invariance of a second-order structure: A walk through the process. Structural Equation Modeling: A Multidisciplinary Journal, 13, 287-321. doi: 10.1207/s15328007sem1302-7
5. Byrne, B. M., Stewart, S. M., Kennard, B. D., &, Lee, P. W. H., (2007). The Beck Depression Inventory-II: Testing for measurement equivalence and factor mean differences across Hong Kong and American adolescents. International Journal of Testing, 7, 293-309. doi: 10.1080/15305050701438058
6. Byrne, B. M., &, van de Vijver, F. J. R., (2010). Testing for measurement and structural equivalence in large-scale cross-cultural studies: Addressing the issue of noninvariance. International Journal of Testing, 10, 107-132. doi: 10.1080/15305051003637306
7. Cameron, I. M., Crawford, J. R., Lawton, K., &, Reid, I. C., (2008). Psychometric comparison of PHQ-9 and HADS for measuring depression severity in primary care. The British Journal of General Practice, 58, 32-36. doi: 10.3399/bjgp08X263794
8. Cheung, G. W., &, Rensvold, R. B., (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling: A Multidisciplinary Journal, 9, 233-255. doi: 10.1207/S15328007SEM0902-5
9. Clark, D. M., Layard, R., Smithies, R., Richards, D. A., Suckling, R., &, Wright, B., (2009). Improving access to psychological therapy: Initial evaluation of two UK demonstration sites. Behaviour Research and Therapy, 47, 910-920. doi: 10.1016/j.brat.2009.07.010
10. Dear, B. F., Titov, N., Sunderland, M., McMillan, D., Anderson, T., Lorian, C., &, Robinson, E., (2011). Psychometric comparison of the Generalized Anxiety Disorder Scale-7 and the Penn State Worry Questionnaire for measuring response during treatment of generalised anxiety disorder. Cognitive Behavior Therapy, 40, 216-227. doi: 10.1080/16506073.2011.582138
11. Department of Health (2011). The IAPT Data Handbook version 2. Retrieved from http://www.iapt.nhs.uk
12. Dimitrov, D. M., (2010). Testing for factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development, 43, 121-149. doi: 10.1177/0748175610373459
13. Donker, T., van Straten, A., Marks, I., &, Cuijpers, P., (2011). Quick and easy self-rating of Generalized Anxiety Disorder: Validity of the Dutch web-based GAD-7, GAD-2, and GAD-SI. Psychiatry Research, 188, 58-64. doi: 10.1016/j.psychres.2011.01.016
14. Dum, M., Pickren, J., Sobell, L. C., &, Sobell, M. B., (2008). Comparing the BDI-II and the PHQ-9 with outpatient substance abusers. Addictive Behaviors, 33, 381-387. doi: 10.1016/j.addbeh.2007.09.017
15. Enders, C. K., (2010). Applied missing data analysis. New York, NY: Guilford Press.
16. Erwin, B. A., Turk, C. L., Heimberg, R. G., Fresco, D. M., &, Hantula, D. A., (2004). The Internet: Home to a severe population of individuals with social anxiety disorder? Journal of Anxiety Disorders, 18, 629-646. doi: 10.1016/j.janxdis.2003.08.002
17. Evans, M., Kessler, D., Lewis, G., Peters, T. J., &, Sharp, D., (2004). Assessing mental health in primary care research using standardised scales: Can it be carried out over the telephone? Psychological Medicine, 34, 157-162. doi: 10.1017/S0033291703008055
18. Hirai, M., Vernon, L. L., Clum, G. A., &, Skidmore, S. T., (2011). Psychometric properties and administration measurement invariance of social phobia symptom measures: Paper-pencil vs. internet administrations. Journal of Psychopathology and Behavioral Assessment, 33, 470-479. doi: 10.1007/s10862-011-9257-2
19. Hirschfeld, R. M. A., (2001). The comorbidity of major depression and anxiety disorders: Recognition and management in primary care. The Primary Care Companion to the Journal of Clinical Psychiatry, 3, 244-254.
20. Hojat, M., &, Xu, G., (2004). A visitor's guide to effect sizes: Statistical significance versus practical (clinical) importance of research findings. Advances in Health Sciences Education, 9, 241-249. doi: 10.1023/B:AHSE.0000038173.00909.f6
21. Hoyle, R. M., (2000). Confirmatory factor analysis. In, H. E. A. Tinsley, &, S. D. Brown, (Eds.), Handbook of applied multivariate statistics and mathematical modelling (pp. 465-497). San Diego, CA: Academic Press.
22. Hu, L., &, Bentler, P. M., (1999). Cutoff criteria for fit indices in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1-55. doi: 10.1080/10705519909540118
23. Huang, F. Y., Chung, H., Kroenke, K., Delucchi, K. L., &, Spitzer, R. L., (2006). Using the Patient Health Questionnaire-9 to measure depression among racially and ethnically diverse primary care patients. Journal of General Internal Medicine, 21, 547-552. doi: 10.1111/j.1525-1497.2006.00409.x
24. Jeličic̈, H., Phelps, E., &, Lerner, R. M., (2009). Use of missing data methods in longitudinal studies: The persistence of bad practices in developmental psychology. Developmental Psychology, 45, 1195-1199. doi: 10.1037/a0015665
25. Kroenke, K., Spitzer, R. L., &, Williams, J. B. W., (2001). The PHQ-9: Validity of a brief depression severity measure. Journal of General Internal Medicine, 16, 606-613. doi: 10.1046/j.1525-1497.2001.016009606.x
26. Kroenke, K., Spitzer, R. L., Williams, J. B. W., &, Löwe, B., (2009). An ultra-brief screening scale for anxiety and depression: The PHQ-9. Psychosomatics, 50, 613-621. doi: 10.1176/appi.psy.50.6.613
27. Kroenke, K., Spitzer, R. L., Williams, J. B. W., &, Löwe, B., (2010). The Patient Health Questionnaire Somatic, Anxiety, and Depressive Symptom Scales: A systematic review. General Hospital Psychiatry, 32, 345-359. doi: 10.1016/j.genhosppsych.2010.03.006
28. Kroenke, K., Spitzer, R. L., Williams, J. B. W., Monahan, P. O., &, Löwe, B., (2007). Anxiety disorder in primary care: Prevalence, impairment, comorbidity, and detection. Annals of Internal Medicine, 146, 317-325. doi: 10.7326/0003-4819-146-5- 200703060-00004
29. Kroenke, K., Strine, T. W., Spitzer, R. L., Williams, J. B. W., Berry, J. T., &, Mokdad, A. H., (2009). The PHQ-8 as a measure of current depression in the general population. Journal of Affective Disorders, 114, 163-173. doi: 10.1016/j.jad.2008.06.026
30. Löwe, B., Decker, O., Müller, S., Brähler, E., Schellberg, D., Herzog, W., &, Herzberg, P. Y., (2008). Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Medical Care, 46, 266-274. doi: 10.1097/MLR.0b013e318160d093
31. Löwe, B., Spitzer, R. L., Williams, J. B. W., Mussell, M., Schellberg, D., &, Kroenke, K., (2008). Depression, anxiety and somatization in primary care: Syndrome overlap and functional impairment. General Hospital Psychiatry, 30, 191-199. doi: 10.1016/j.genhosppsych.2008.01.001
32. Meredith, W., &, Teresi, J. A., (2006). An essay on measurement and factorial invariance. Medical Care, 44, S69-S77. doi: 10.1097/01.mlr.0000245438. 73837.89
33. Milfont, T. L., &, Fischer, R., (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3, 111-121.
34. Rector, N. A., (2012). Cognitive-behavioural approaches to anxiety and depression comorbidity: Introduction to the special section. International Journal of Cognitive Therapy, 5, 113-117. doi: 10.1521/ijct.2012.5.2.113
35. Roth, A. D., &, Pilling, S., (2008). Using an evidence-based methodology to identify the competences required to deliver effective cognitive and behavioural therapy for depression and anxiety disorders. Behavioural and Cognitive Psychotherapy, 36, 129-147. doi: 10.1017/S1352465808004141
36. Rubin, D. B., (1987). Multiple imputation for survey nonresponse. New York, NY: Wiley.
37. Schlomer, G. L., Bauman, S., &, Card, N. A., (2010). Best practices for missing data management in counselling psychology. Journal of Counseling Psychology, 57, 1-10. doi: 10.1037/a0018082
38. Spitzer, R. L., Kroenke, K., Williams, J. B. W., &, Löwe, B., (2006). A brief measure for assessing generalized anxiety disorder. Archives of Internal Medicine, 166, 1092-1097. doi: 10.1001/archinte.166.10.1092
39. Titov, N., Dear, B. F., McMillan, D., Anderson, T., Zou, J., &, Sunderland, M., (2011). Psychometric comparison of the PHQ-9 and BDI-II for measuring response during treatment of depression. Cognitive Behaviour Therapy, 40, 126-136. doi: 10.1080/16506073.2010.550059