Item response theory and factor analysis as a mean to characterize occurrence of response shift in a longitudinal quality of life study in breast cancer patients

Health and Quality of Life Outcomes

Volumn 12, Issue 1, 2014, Pages

  Anota, Amélie ^a,b,c   Bascoul Mollevi, Caroline ^d   Conroy, Thierry ^a,e   Guillemin, Francis ^a,f   Velten, Michel ^a,g   Jolly, Damien ^a,h   Mercier, Mariette ^a,c   Causeret, Sylvain ⁱ   Cuisenier, Jean ⁱ   Graesslin, Olivier ^h   Hamidou, Zeinab ^a,j   Bonnetain, Franck ^a,b,c  

^a National Quality of Life in Oncology Platform   (France)

^b UNIVERSITY HOSPITAL OF BESANÇON   (France)

^c UNIVERSITÉ DE FRANCHE COMTÉ   (France)

^d CENTRE VAL D AURELLE   (France)

^e CENTRE ALEXIS VAUTRIN   (France)

^f UNIVERSITY HOSPITAL OF NANCY   (France)

^g UNIVERSITÉ DE STRASBOURG   (France)

^h REIMS UNIVERSITY HOSPITAL   (France)

ⁱ CENTRE GEORGES FRANÇOIS LECLERC   (France)

^j AIX MARSEILLE UNIVERSITY   (France)

more..

Author keywords

Factor analysis; Health related quality of life; Item response theory; Longitudinal analysis; Response shift

Indexed keywords

ANALYTIC METHOD; ARTICLE; BODY IMAGE; BREAST CANCER; CANCER PATIENT; CANCER SURGERY; COGNITION; COHORT ANALYSIS; CONSTIPATION; CONTROLLED STUDY; DIARRHEA; FACTORIAL ANALYSIS; FATIGUE; FEMALE; HAIR LOSS; HUMAN; INSOMNIA; ITEM RESPONSE THEORY; LONGITUDINAL STUDY; LOSS OF APPETITE; MAJOR CLINICAL STUDY; MULTICENTER STUDY; MULTIPLE CORRESPONDENCE ANALYSIS; NAUSEA AND VOMITING; PAIN; PRINCIPAL COMPONENT ANALYSIS; PROSPECTIVE STUDY; QUALITY OF LIFE; RESPONSE SHIFT; SEXUALITY; SOCIAL INTERACTION; STRUCTURAL EQUATION MODELING; THEORY; ADULT; CANCER FATIGUE; CANCER PAIN; CORRESPONDENCE ANALYSIS; EMOTIONALITY; HOSPITALIZATION; LEISURE; RANDOMIZED CONTROLLED TRIAL;

ATTITUDE TO HEALTH; BREAST NEOPLASMS; FACTOR ANALYSIS, STATISTICAL; FEMALE; HUMANS; LONGITUDINAL STUDIES; MASTECTOMY; MIDDLE AGED; PRINCIPAL COMPONENT ANALYSIS; PSYCHOMETRICS; QUALITY OF LIFE; QUESTIONNAIRES;

EID: 84901631404     PISSN: None     EISSN: 14777525     Source Type: Journal    
DOI: 10.1186/1477-7525-12-32     Document Type: Article

References (65)

1. Osoba D. Health-related quality of life and cancer clinical trials. Ther Adv Med Oncol 2011, 3:57-71. 10.1177/1758834010395342, 3126042, 21789156.
2. Montazeri A. Health-related quality of life in breast cancer patients: a bibliographic review of the literature from 1974 to 2007. J Exp Clin Cancer Res 2008, 27:32. 10.1186/1756-9966-27-32, 2543010, 18759983.
3. Ubel PA, Peeters Y, Smith D. Abandoning the language of " response shift": a plea for conceptual clarity in distinguishing scale recalibration from true changes in quality of life. Qual Life Res 2010, 19:465-471. 10.1007/s11136-010-9592-x, 20112000.
4. Wiklund I. Assessment of patient-reported outcomes in clinical trials: the example of health-related quality of life. Fundam Clin Pharmacol 2004, 18:351-363. 10.1111/j.1472-8206.2004.00234.x, 15147288.
5. Bullinger M. Assessing health related quality of life in medicine. An overview over concepts, methods and applications in international research. Restor Neurol Neurosci 2002, 20:93-101.
6. Gibbons FX. Social comparison as a mediator of response shift. Soc Sci Med 1999, 48:1517-1530. 10.1016/S0277-9536(99)00046-5, 10400254.
7. Howard GS, Dailey PR, Gulianick NA. The feasibility of informed pretests in attenuating response shift bias. Appl Psychol Meas 1979, 3:481-494.
8. Howard GS, Ralph KM, Gulianick NA, Maxwell SE, Nance SW, Gerber SK. Internal invalidity in pretest-posttest self-report evaluations and a reevaluation of retrospective pretests. Appl Psychol Meas 1979, 3:1-23.
9. Sprangers MA, Schwartz CE. Integrating response shift into health related quality of life research: a theoretical model. Soc Sci Med 1999, 48:1507-1515. 10.1016/S0277-9536(99)00045-3, 10400253.
10. Korfage IJ, de Koning HJ, Essink-Bot ML. Response shift due to diagnosis and primary treatment of localized prostate cancer: a then-test and a vignette study. Qual Life Res 2007, 16:1627-1634. 10.1007/s11136-007-9265-6, 2062490, 17917793.
11. Oort FJ, Visser MR, Sprangers MA. An application of structural equation modeling to detect response shifts and true change in quality of life data from cancer patients undergoing invasive surgery. Qual Life Res 2005, 14:599-609. 10.1007/s11136-004-0831-x, 16022055.
12. Schwartz CE, Sprangers MA. Methodological approaches for assessing response shift in longitudinal health-related quality-of-life research. Soc Sci Med 1999, 48:1531-1548. 10.1016/S0277-9536(99)00047-7, 10400255.
13. Sprangers MA, Van Dam FS, Broersen J, Lodder L, Wever L, Visser MR, Oosterveld P, Smets EM. Revealing response shift in longitudinal research on fatigue-the use of the thentest approach. Acta Oncol 1999, 38:709-718. 10.1080/028418699432860, 10522761.
14. Schmitt N. The use of analysis of covariance structures to assess beta and gamma change. Multivar Behav Res 1982, 17:343-358.
15. Ahmed S, Mayo NE, Corbiere M, Wood-Dauphinee S, Hanley J, Cohen R. Change in quality of life of people with stroke over time: true change or response shift?. Qual Life Res 2005, 14:611-627. 10.1007/s11136-004-3708-0, 16022056.
16. Oort FJ. Using structural equation modeling to detect response shifts and true change. Qual Life Res 2005, 14:587-598. 10.1007/s11136-004-0830-y, 16022054.
17. King-Kallimanis BL, Oort FJ, Nolte S, Schwartz CE, Sprangers MA. Using structural equation modeling to detect response shift in performance and health-related quality of life scores of multiple sclerosis patients. Qual Life Res 2011, 20:1527-1540. 10.1007/s11136-010-9844-9, 3220820, 21246289.
18. Craig S. Measuring Change Retrospectively: An Examination Based on Item Response Theory. " Measuring Behavioral Change: Methodological Considerations." Symposium Presented at the Annual Conference of the Society for Industrial and Organizational Psychology 2000, Martineau J.
19. Meade AW, Ellington JK, Craig SB. Exploratory Measurement Invariance: A New Method Based on Item Response Theory. Symposium Presented at the 19th Annual Conference of the Society for Industrial and Organizational Psychology, Chicago, IL 2004
20. Dabakuyo TS, Guillemin F, Conroy T, Velten M, Jolly D, Mercier M, Causeret S, Cuisenier J, Graesslin O, Gauthier M, Bonnetain F. Response shift effects on measuring post-operative quality of life among breast cancer patients: a multicenter cohort study. Qual Life Res 2013, 22:1-11.
21. Aaronson NK, Ahmedzai S, Bergman B, Bullinger M, Cull A, Duez NJ, Filiberti A, Flechtner H, Fleishman SB, de Haes JC, Kaasa S, Klee M, Osoba D, Ravasi D, Robe PB, Schraub S, Sneeuw K, Sullivan M, Takeda F. The European Organization for Research and Treatment of Cancer QLQ-C30: a quality-of-life instrument for use in international clinical trials in oncology. J Natl Cancer Inst 1993, 85:365-376. 10.1093/jnci/85.5.365, 8433390.
22. Sprangers MA, Groenvold M, Arraras JI, Franklin J, te Velde A, Muller M, Franzini L, Williams A, de Haes HC, Hopwood P, Cull A, Aaronson NK. The European Organization for Research and Treatment of Cancer breast cancer-specific quality-of-life questionnaire module: first results from a three-country field study. J Clin Oncol 1996, 14:2756-2768.
23. Fayers PM, Aaronson NK, Bjordal K, Groenvold M, Curran D. Bottomley AobotEQoLG. EORTC QLQ-C30 Scoring Manual 2001, EORTC, 3, edn; 2001.
24. Osoba D, Rodrigues G, Myles J, Zee B, Pater J. Interpreting the significance of changes in health-related quality-of-life scores. J Clin Oncol 1998, 16:139-144.
25. Hoffman DL, De Leeuw J. Interpreting multiple correspondence analysis as an multidimensional scaling method. Mark Lett 1992, 3:259-272.
26. Greenacre MJ. Interpreting multiple correspondence analysis. Appl Stochastic Model Data Anal 2006, 7:195-210.
27. Fischer GH. Some Probabilistic Models for Measuring Change. Advances in Psychological and Educational Measurement 1976, New York: Wiley, de Gruijter DNM, van der Kamp LJT.
28. Fischer GH. Some Latent Trait Models for Measuring Change in Qualitative Observations. New Horizons in Testing. Latent Trait Theory and Computerized Adaptive Testing 1983, New York: Academic Press, Weiss DJ.
29. Fischer GH, Ponocny I. An extension of the patial credit model with an application to the measurement of change. Psychometrika 1994, 59:177-192.
30. Fischer G, Parzer P. An extension of the rating scale model with an application to the measurement of change. Psychometrika 1991, 56:637-651.
31. Rasch G. Probabilistic Models for Some Intelligence and Attainment Tests 1960, The Danish Institute of Educational Research, Copenhagen: MESA Press.
32. Fischer GH. Linear Logistic Models for Change. Rasch Models. Foundations, Recent Developments and Applications 1995, New York: Springer.
33. Van der Linden WJ, Hambleton RK. Handbook of Modern Item Response Theory 1997, New York: Springer Verlag.
34. Mair P, Hatzinger R. CML based estimation of extended Rasch models with the eRm package in R. Psychol Sci Q 2007, 49:26-43.
35. Mair P, Hatzinger R. Extended rasch modeling: the eRm package for the application of IRT models in R. J Stat Softw 2007, 20:1-20.
36. Barclay-Goddard R, Epstein JD, Mayo NE. Response shift: a brief overview and proposed research priorities. Qual Life Res 2009, 18:335-346. 10.1007/s11136-009-9450-x, 19241143.
37. Costello AB, Osborne JW. Best practices in exploratory factor analysis: four recommendations for getting the most from your analysis. Pract Asses Res Eval 2005, 10:173-178.
38. Development Core Team R. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. URL http://www.R-project.org/.
39. Lê S, Josse J, Husson F. FactoMineR: an R package for multivariate analysis. J Stat Softw 2008, 25:1-18.
40. Hatzinger R, Rusch T. IRT models with relaxed assumptions in eRm: a manual-like instruction. Psychol Sci Q 2009, 51:87-120.
41. Schwartz CE, Sprangers MA. Guidelines for improving the stringency of response shift research using the thentest. Qual Life Res 2010, 19:455-464. 10.1007/s11136-010-9585-9, 20084465.
42. Schwartz CE, Rapkin BA. Understanding appraisal processes underlying the thentest: a mixed methods investigation. Qual Life Res 2012, 21:381-388. 10.1007/s11136-011-0023-4, 21969088.
43. Visser MR, Oort FJ, Sprangers MA. Methods to detect response shift in quality of life data: a convergent validity study. Qual Life Res 2005, 14:629-639. 10.1007/s11136-004-2577-x, 16022057.
44. Nolte S, Elsworth GR, Sinclair AJ, Osborne RH. Tests of measurement invariance failed to support the application of the " then-test". J Clin Epidemiol 2009, 62:1173-1180. 10.1016/j.jclinepi.2009.01.021, 19595570.
45. Ahmed S, Bourbeau J, Maltais F, Mansour A. The Oort structural equation modeling approach detected a response shift after a COPD self-management program not detected by the Schmitt technique. J Clin Epidemiol 2009, 62:1165-1172. 10.1016/j.jclinepi.2009.03.015, 19664904.
46. Gandhi PK, Ried LD, Huang IC, Kimberlin CL, Kauf TL. Assessment of response shift using two structural equation modeling techniques. Qual Life Res 2013, 22:461-471. 10.1007/s11136-012-0171-1, 22476611.
47. Donaldson GW. Structural equation models for quality of life response shifts: promises and pitfalls. Qual Life Res 2005, 14:2345-2351. 10.1007/s11136-005-3977-2, 16328915.
48. King-Kallimanis BL, Oort FJ, Visser MR, Sprangers MA. Structural equation modeling of health-related quality-of-life data illustrates the measurement and conceptual perspectives on response shift. J Clin Epidemiol 2009, 62:1157-1164. 10.1016/j.jclinepi.2009.04.004, 19595574.
49. Edelen MO, Reeve BB. Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res 2007, 16(Suppl 1):5-18.
50. Floyd FJ, Widaman KF. Factor analysis in the development and refinement of clinical assessment instruments. Psychol Assess 1995, 7:286-299.
51. Hambleton RK. Emergence of item response modeling in instrument development and data analysis. Med Care 2000, 38:II60-II65.
52. Lai JS, Crane PK, Cella D. Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Qual Life Res 2006, 15:1179-1190. 10.1007/s11136-006-0060-6, 17001438.
53. McLachlan SA, Devins GM, Goodwin PJ. Factor analysis of the psychosocial items of the EORTC QLQ-C30 in metastatic breast cancer patients participating in a psychosocial intervention study. Qual Life Res 1999, 8:311-317. 10.1023/A:1008939818096, 10472163.
54. Reise SP, Widaman KF, Pugh RH. Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. Psychol Bull 1993, 114:552-566.
55. Smith AB, Wright P, Selby PJ, Velikova G. A rasch and factor analysis of the functional assessment of cancer therapy-general (FACT-G). Health Qual Life Outcomes 2007, 5:19. 10.1186/1477-7525-5-19, 1863414, 17448239.
56. Liu L, Hedeker D, Mermelstein R. Modeling nicotine dependence: an application of a longitudinal IRT model for the analysis of adolescent nicotine dependence syndrome scale. Nicotine Tob Res 2013, 15:326-333. 10.1093/ntr/nts125, 3545713, 22585539.
57. Blanchin M, Hardouin JB, Le Neel T, Kubis G, Blanchard C, Mirallié E, Sébille V. Comparaison of CTT and rasch-based approaches for the analysis of longitudinal patient reported outcomes. Stat Med 2011, 30:825-838.
58. Swartz RJ, Schwartz C, Basch E, Cai L, Fairclough DL, McLeod L, Mendoza TR, Rapkin B. The king's foot of patient-reported outcomes: current practices and new developments for the measurement of change. Qual Life Res 2011, 20:1159-1167. 10.1007/s11136-011-9863-1, 3178017, 21336659.
59. van Nispen RM, Knol DL, Neve HJ, van Rens GH. A multilevel item response theory model was investigated for longitudinal vision-related quality-of-life data. J Clin Epidemiol 2010, 63:321-330. 10.1016/j.jclinepi.2009.06.012, 19766455.
60. Douglas JA. Item response models for longitudinal quality of life data in clinical trials. Stat Med 1999, 18:2917-2931. 10.1002/(SICI)1097-0258(19991115)18:21<2917::AID-SIM204>3.0.CO;2-N, 10523750.
61. Glas CA, Geerlings H, van de Laar MA, Taal E. Analysis of longitudinal randomized clinical trials using item response models. Contemp Clin Trials 2009, 30:158-170. 10.1016/j.cct.2008.12.003, 19146991.
62. Craig S. Implicit theories and beta change in longitudinal evaluations of training effectiveness: an investigation using item response theory. 2002, Dissertation submitted to the Faculty of the Virginia Polytechnic Institute and State University in partial fulfillment of the requirements for the degree of Doctor of Philosophy.
63. Schwartz C, Martha J, Swaim B, Bode R, Kim D. Detecting response shift in using rasch analysis of then test data. Qual Life Res 2007, A-15(suppl).
64. Bonnetain F, Dahan L, Maillard E, Ychou M, Mitry E, Hammel P, Legoux JL, Rougier P, Bedenne L, Seitz JF. Time until definitive quality of life score deterioration as a means of longitudinal analysis for treatment trials in patients with metastatic pancreatic adenocarcinoma. Eur J Cancer 2010, 46:2753-2762. 10.1016/j.ejca.2010.07.023, 20724140.
65. Hamidou Z, Dabakuyo TS, Mercier M, Fraisse J, Causeret S, Tixier H, Padeano MM, Loustalot C, Cuisenier J, Sauzedde JM, Smail M, Combier JP, Chevillote P, Rosbuger C, Arveux P, Bonnetain F. Time to deterioration in quality of life score as a modality of longitudinal analysis in patients with breast cancer. Oncologist 2011, 16:1458-1468. 10.1634/theoncologist.2011-0085, 3228064, 21948650.