Erratum: Assessment of response shift using two structural equation modeling techniques (Quality of Life Research DOI: 10.1007/s11136-012-0171-1);Assessment of response shift using two structural equation modeling techniques

Quality of Life Research

Volumn 22, Issue 3, 2013, Pages 461-471

  Gandhi, Pranav K ^a   Ried, L Douglas ^b   Huang, I Chan ^c   Kimberlin, Carole L ^c   Kauf, Teresa L ^c  

^a South College School of Pharmacy   (United States)

^b UNIVERSITY OF SOUTH FLORIDA   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

Author keywords

Confirmatory factor analysis; Health related quality of life; Response shift; Structural equation modeling

Indexed keywords

AGED; CORONARY ARTERY DISEASE; DAILY LIFE ACTIVITY; FACTORIAL ANALYSIS; FEMALE; FOLLOW UP; HEALTH STATUS; HEALTH SURVEY; HUMAN; HYPERTENSION; MALE; MIDDLE AGED; PSYCHOLOGY; QUALITY OF LIFE; QUESTIONNAIRE; THEORETICAL MODEL; TREATMENT OUTCOME; ARTICLE; PSYCHOLOGICAL ASPECT;

ACTIVITIES OF DAILY LIVING; AGED; CORONARY ARTERY DISEASE; FACTOR ANALYSIS, STATISTICAL; FEMALE; FOLLOW-UP STUDIES; HEALTH STATUS; HEALTH SURVEYS; HUMANS; HYPERTENSION; MALE; MIDDLE AGED; MODELS, THEORETICAL; QUALITY OF LIFE; QUESTIONNAIRES; TREATMENT OUTCOME;

EID: 84876498774     PISSN: 09629343     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11136-012-0244-1     Document Type: Erratum

References (39)

1. Goodwin, P. J., Black, J. T., Bordeleau, L. J., & Ganz, P. A. (2003). Health-related quality of life measurement in randomized clinical trials in breast cancer - taking stock. Journal of the National Cancer Institute, 95(4), 263-281.
2. Campbell, D. T. (1957). Factors relevant to the validity of experiments in social settings. Psychological Bulletin, 54(4), 297-312.
3. Sprangers, M. A., & Schwartz, C. E. (1999). Integrating response shift into health-related quality of life research: a theoretical model. Social Science and Medicine, 48, 1507-1515.
4. Schwartz, C. E., & Sprangers, M. A. (1999). Methodological approaches for assessing response shift in longitudinal health-related quality of life research. Social Science and Medicine, 48, 1531-1548.
5. Ried, L. D., Tueth, M. J., Taylor, M. D., Sauer, B. C., Lopez, L. M., & Pepine, C. J. (2006). Depressive symptoms in coronary artery disease patients after hypertensive treatment. Annals of Pharmacotherapy, 40, 597-604.
6. Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., & Izzo, J. L., Jr. (2003). For the National Heart, Lung, and Blood Institute Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure; National High Blood Pressure Education Program Coordinating Committee. The seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure: the JNC 7 report. Journal of the American Medical Association, 289, 2560-2572.
7. Ahmed, S., Mayo, N., Corbiere, M., Wood-Dauphinee, S., Hanley, J., & Cohen, R. (2005). Change in quality of life of people with stroke over time: True change or response shift? Quality of Life Research, 14, 611-627.
8. Schmitt, N. (1982). The use of analysis of covariance structures to assess beta and gamma change. Multivariate Behavioral Research, 17, 343-358.
9. Schmitt, N., Pulakos, E. D., & Lieblein, A. (1984). Comparison of three techniques to assess group-level beta and gamma change. Applied Psychological Measurement, 8, 249-260.
10. Schaubroeck, J., & Green, S. G. (1989). Confirmatory factor analytic procedures for assessing change during organizational entry. Journal of Applied Psychology, 74(6), 892-900.
11. Oort, F. J. (2005). Using structural equation modeling to detect response shifts and true change. Quality of Life Research, 14, 587-598.
12. Ahmed, S., Bourbeau, J., Maltais, F., & Mansour, A. (2009). The Oort structural equation modeling approach detected a response shift after a COPD self-management program not detected by the Schmitt technique. Journal of Clinical Epidemiology, 62, 1165-1172.
13. Oort, F. J., Visser, M. R. M., & Sprangers, M. A. G. (2005). An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery. Quality of Life Research, 14, 599-609.
14. Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices and recommendations for organizational research. Organizational Research Methods, 3, 4-70.
15. Visser, M., Oort, F., & Sprangers, M. (2005). Methods to detect response shift in quality of life data: A convergent validity study. Quality of Life Research, 14, 629-639.
16. Ried, L. D., Tueth, M. J., Handberg, E., Kupfer, S., Pepine, C. J., & the INVEST study group. (2005). A study of antihypertensive drugs and depressive symptoms (SADD-Sx) in patients treated with a calcium antagonist versus an atenolol hypertension treatment strategy in the international verapamil sr-trandolapril study (INVEST). Psychosomatic Medicine, 67, 398-406.
17. Pepine, C. J., Handberg-Thurmond, E., Marks, R. G., Conlon, M., Cooper-DeHoff, R., Volkers, P., et al. (1998). Rationale and design of the International Verapamil SR/Trandolapril Study (INVEST): An Internet-based randomized trial in coronary artery disease patients with hypertension. Journal of the American College of Cardiology, 32, 1228-1237.
18. Pepine, C. J., Handberg, E. M., Cooper-DeHoff, R. M., Marks, R. G., Kowey, P., Messerli, F. H., et al. (2003). A calcium antagonist vs a non-calcium antagonist hypertension treatment strategy for patients with coronary artery disease. The International Verapamil-Trandolapril Study (INVEST): A randomized controlled trial. Journal of the American Medical Association, 290, 2805-2816.
19. Anonymous. (1997). World Medical Association Declaration of Helsinki. Recommendations guiding physicians in biomedical research involving human subjects. Cardiovascular Research, 35, 2-3.
20. Saris-Baglama, R. N., Dewey, C. J., Chisholm, G. B., Kosinski, M., Bjorner, J. B., & Ware, J. E. (2004) SF-36 Health outcomes scoring software, pp 1-157.
21. Ware, J. E., Snow, K. K., Kosinski, M., & Gandek, B. (1993). SF-36 health survey: Manual and interpretation guide. Boston, MA: The Health Institute, New England Medical Center.
22. Jöreskog, K., & Sörbom, D. (1993). LISREL 8. Lincolnwood, Il: Scientific Software Internatonal Inc.
23. SAS Institute. SAS users guide, version 9.1. (2004) Cary, NC; SAS institute, Inc.
24. Brown, T. A. (2006). Confirmatory factor analysis for applied research. New York: London: Guilford Press.
25. Barclay-Goddard, R., Lix, L. M., Tate, R., Weinberg, L., & Mayo, N. E. (2009). Response shift was identified over multiple occasions with a structural equation modeling framework. Journal of Clinical Epidemiology, 62, 1181-1188.
26. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
27. King-Kallimanis, B., Oort, F. J., Visser, M. R. M., & Sprangers, M. A. G. (2009). Structural equation modeling of health-related quality-of-life data illustrates the measurement and conceptual perspectives on response shift. Journal of Clinical Epidemiology, 62, 1157-1164.
28. Bar-On, D., Lazar, A., & Amir, M. (2000). Quantitative assessment of response shift in QOL research. Social Indicators Research, 49, 37-49.
29. de Graff, J. C., Ubbink, D. Th., Kools, E. J. C., Chamuleau, S. A. J., & Jacobs, M. J. H. M. (2002). The impact of peripheral and coronary artery disease on health-related quality of life. Annals of Vascular Surgery, 16, 495-500.
30. Mitchell, R. A., Imperial, E., Kelleher, P., Brunker, P., & Gass, G. (1991). Perceived health problems in subjects with varying cardiovascular diagnoses. Journal of Behavioral Medicine, 14, 505-512.
31. Sevinc, S., & Akyol, A. D. (2010). Cardiac risk factors and quality of life in patients with coronary artery disease. Journal of Clinical Nursing, 19, 1315-1325.
32. Bass, C., Akhras, F., Upward, J., Keates, J., Lowe, D., Harry, J., et al. (1987). Does atenolol improve physical and psychological function after coronary artery bypass surgery: A controlled study. Journal of Psychosomatic Research, 31, 521-529.
33. Macintyre, S., Ford, G., & Hunt, K. (1999). Do women 'over-report' morbidity? Men's and women's responses to structured prompting on a standard question on long standing illness. Social Science and Medicine, 48, 89-98.
34. McCreary, D. R., Newcomb, M. D., & Sadava, S. W. (1998). Dimensions of the male gender role: A confirmatory analysis in men and women. Sex Roles, 39, 81-95.
35. Barclay-Goddard, R., Epstein, J. D., & Mayo, N. E. (2009). Response shift: A brief overview and proposed research priorities. Quality of Life Research, 18, 335-346.
36. Brossart, D., Clay, D., & Willson, V. (2002). Methodological and statistical considerations for threats to internal validity in pediatric outcome data: Response shift in self-report outcomes. Journal of Pediatric Psychology, 27, 97-107.
37. Mayo, N. E., Scott, S. C., & Ahmed, S. (2009). Case management poststroke did not induce response shift: The value of residuals. Journal of Clinical Epidemiology, 62, 1148-1156.
38. Mayo, N. E., Scott, S. C., Dendukuri, N., Ahmed, S., & Wood-Dauphinee, S. (2008). Identifying response shift statistically at the individual level. Quality of Life Research, 17, 627-639.
39. Bloem, E. F., van Zuuren, F. J., Koeneman, M. A., Rapkin, B. D., Visser, M. R. M., Koning, C. C. E., et al. (2008). Clarifying quality of life assessment: Do theoretical models capture the underlying cognitive processes? Quality of Life Research, 17, 1093-1102.