Multidimensional item response theory models yielded good fit and reliable scores for the Short Form-12 questionnaire

Journal of Clinical Epidemiology

Volumn 66, Issue 7, 2013, Pages 790-801

  Forero, Carlos G ^a,b   Vilagut, Gemma ^a,b   Adroher, Nuria D ^a,b   Alonso, Jordi ^a,b  

^a HOSPITAL DEL MAR   (Spain)

^b CIBER EPIDEMIOLOGÍA Y SALUD PÚBLICA CIBERESP   (Spain)

Author keywords

Confirmatory factor analysis; Health status; Internal consistency; Multidimensional graded response model; Outcome measures; Patient reported outcomes

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; ERROR; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION; MENTAL DISEASE; MULTIDIMENSIONAL ITEM RESPONSE THEORY; PRIORITY JOURNAL; PSYCHOMETRY; RELIABILITY; SCORING SYSTEM; SHORT FORM 12; STATISTICAL MODEL;

HEALTH STATUS; HUMANS; MENTAL DISORDERS; PSYCHOMETRICS; QUESTIONNAIRES; REPRODUCIBILITY OF RESULTS; SAMPLING STUDIES;

EID: 84878217083     PISSN: 08954356     EISSN: 18785921     Source Type: Journal    
DOI: 10.1016/j.jclinepi.2013.02.007     Document Type: Article

References (61)

1. J. Ware Jr. , M. Kosinski, and S.D. Keller A 12-Item Short-Form Health Survey: construction of scales and preliminary tests of reliability and validity Med Care 34 1996 220 233
2. J.E. Ware Jr. , M. Kosinski, D.M. Turner-Bowker, and B. Gandek How to score version 2 of the SF-12 Health Survey (with a supplement documenting version 1) 2002 QualityMetric, Inc Lincoln, RI
3. J.E. Ware Jr. , and C.D. Sherbourne The MOS 36-item short-form health survey (SF-36). I. Conceptual framework and item selection Med Care 30 1992 473 483
4. C.A. McHorney, J.E. Ware Jr. , and A.E. Raczek The MOS 36-Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs Med Care 31 1993 247 263
5. J.E. Ware, K.K. Snow, M. Kosinski, and B. Gandek SF-36 Health Survey manual and interpretation guide 1993 The Health Institute Boston, MA
6. J.E. Ware, M. Kosinski, and S.D. Kelle SF-12: how to score the SF-12 physical and mental health summary scales 2nd ed. 1995 The Health Institute, New England Medical Center Boston, MA
7. R.D. Hays RAND-36 Health Status Inventory 1998 The Psychological Corporation San Antonio, TX
8. G.N. Masters A Rasch model for partial credit scoring Psychometrika 47 1982 149 174
9. J.A. Johnson, and S.L. Maddigan Performance of the RAND-12 and SF-12 summary scores in type 2 diabetes Qual Life Res 13 2004 449 456
10. M.W. Nordvedt, T. Riise, K.-M. Myhr, and H.I. Nyland Performance of the SF-36, SF-12 and RAND-36 summary scales in a multiple sclerosis population Med Care 38 2000 1022 1028
11. S.D. Keller, J.E. Ware Jr. , P.M. Bentler, N.K. Aaronson, J. Alonso, and G. Apolone Use of structural equation modeling to test the construct validity of the SF-36 Health Survey in ten countries: results from the IQOLA Project. International Quality of Life Assessment J Clin Epidemiol 51 1998 1179 1188
12. J.E. Ware Jr. , M. Kosinski, B. Gandek, N.K. Aaronson, G. Apolone, and P. Bech The factor structure of the SF-36 Health Survey in 10 countries: results from the IQOLA Project. International Quality of Life Assessment J Clin Epidemiol 51 1998 1159 1165
13. F. Lord, and M.R. Novick Statistical theories of mental test scores 1968 Addison-Wesley Reading, MA
14. K. Sijtsma On the use, misuse and the very limited usefulness of Cronbach's alpha Psychometrika 74 2009 107 120
15. J.M. Graham Congeneric and (essentially) tau-equivalent estimates of score reliability. What they are and how to use them Educ Psychol Meas 66 2006 930 944
16. F. Samejima Estimation of latent ability using a response pattern of graded scores Psychometrika 34 1969 Monograph Supplement
17. F. Samejima Normal ogive model on the continuous response level in the multidimensional latent space Psychometrika 39 1974 11 121
18. A. Maydeu-Olivares, F. Drasgow, and A.D. Mead Distinguishing among parametric item response models for polychotomous ordered data Appl Psychol Meas 18 1994 245 256
19. J. Alonso, M.C. Angermeyer, and J.P. Lepine The European Study of the Epidemiology of Mental Disorders (ESEMeD) project: an epidemiological basis for informing mental health policies in Europe Acta Psychiatr Scand Suppl 420 2004 5 7
20. A. Maydeu-Olivares Further empirical results on parametric versus non-parametric IRT modeling of Likert-type personality data Multivariate Behav Res 40 2005 261 279
21. J.J. McArdle, and R.P. McDonald Some algebraic properties of the reticular action metamodel for moment structures Br J Math Stat Psychol 37 1984 234 251
22. R.P. McDonald Test theory. A unified approach 1999 Lawrence Erlbaum Associates, Inc Hillsdale, NJ
23. A. Maydeu-Olivares, and U. Böckhenholt Structural equation modeling of paired-comparison and ranking data Psychol Methods 10 2005 285 304
24. C.G. Forero, and A. Maydeu-Olivares Estimation of IRT graded response models: limited versus full information methods Psychol Methods 14 2009 275 299
25. A. Satorra, and P.M. Bentler Corrections to test statistics and standard errors in covariance structure analysis A. von Eye, C.C. Clogg, Latent Variable Analysis: Applications to Developmental Research 1994 Sage Thousands, CA 399 419
26. P.M. Bentler Comparative fit indexes in structural models Psychol Bull 107 1990 238 246
27. M.W. Browne, and R. Cudeck Alternative ways of assessing model fit K.A. Bollen, J.S. Long, Testing Structural Equation Models 1993 Sage Newbury Park, CA 136 162
28. L. Tucker, and C. Lewis The reliability coefficient for maximum likelihood factor analysis Psychometrika 38 1973 1 10
29. L.T. Hu, and P.M. Bentler Cutoff criteria for fit indexes in covariance estructure analysis: Conventional criteria versus new alternatives Struct Equ Modeling 6 1999 1 55
30. R.C. MacCallum, M.W. Browne, and H. Sugawara Power analysis and determination of sample size for covariance structure modeling Psychol Methods 1 1996 130 149
31. Y. Takane, and J. DeLeeuw On the relationship between item response theory and factor analysis of discretized variables Psychometrika 52 1987 393 408
32. R.P. McDonald The dimensionality of tests and items Br J Math Stat Psychol 34 1981 100 117
33. R.D. Bock, and M. Aitkin Marginal maximum likelihood estimation of item parameters: application of an EM algorithm Psychometrika 46 1981 443 459
34. F. Samejima A method of estimating item characteristic functions using the maximum likelihood estimate of ability Psychometrika 42 1977 163 191
35. R.D. Bock, and R.J. Mislevy Adaptive EAP estimation of ability in a microcomputer environment Appl Psychol Meas 6 1982 431 444
36. B. Muthén, and L. Muthen Mplus user's guide 6th ed. 2011 Muthén & Muthén Los Angeles, CA
37. D. Thissen MULTILOG 7: multiple categorical item analysis and test scoring using item response theory 2003 Scientific Software Chicago, IL
38. P.M. Bentler Alpha, dimension-free and model-based internal consistency reliability Psychometrika 74 2008 137 143
39. K. McGraw, and S.P. Wong Forming inferences about some intraclass correlation coefficients Psychol Methods 1 1996 30 46
40. M.J. Kolen, and R.L. Brennan Test equating, scaling and linking: methods and practices 2nd ed. 2004 Springer-Verlag New York, NY
41. R.K. Hambleton, and H. Swaminathan Item response theory: principles and applications 1985 Kluwer-Nijhoff Pub Boston
42. D. Boorsboom The attack of the psychometricians Psychometrika 71 2006 425 440
43. M. Martin, M. Kosinski, J.B. Bjorner, J.E. Ware Jr. , R. Maclean, and T. Li Item response theory methods can improve the measurement of physical function by combining the modified heatlh assessment questionnaire and the SF36 physical function scale Qual Life Res 16 2006 647 660
44. J.E. Ware Jr. , J.B. Bjorner, and M. Kosinski Practical implications of item response theory and computerized adaptive testing: a brief summary of ongoing studies of widely used headache impact scales Med Care 38 2000 II73 II82
45. K.F. Cook, P.O. Monahan, and C.A. McHorney Delicate balance between theory and practice: health status assessment and item response theory Med Care 41 2003 571 574
46. K.S. Chan, M. Orlando, B. Ghosh-Dastidar, N. Duan, and C.D. Sherbourne The interview mode effect on the Center for Epidemiological Studies Depression (CES-D) scale: an item response theory analysis Med Care 42 2004 281 289
47. R. Sawatzky, P. Ratner, J. Kopec, and B.D. Zumbo Latent variable mixture models: a promising approach for the validation of patient reported outcomes Qual Life Res 21 2012 637 650
48. R. Gibbons, R.D. Bock, D.R. Hedeker, D.J. Weiss, E. Segawa, and D.K. Bhaumik Full-information item bifactor analysis of graded response data Appl Psychol Meas 31 2007 4 19
49. J.C. Immekus, and P.K. Imbrie Dimensionality assessment using the full-information item bifactor analysis for graded response data: an illustration with the state metacognitive inventory Educ Psychol Meas 68 2008 695 709
50. Immekus JC, Gibbons R, Rush JA. Patient-reported outcomes measurement and computerized adaptive testing: an application of post-hoc simulation to a diagnostic screening instrument. In: Weiss DJ, Eds. Proceedings of the 2007 GMAC Conference on Computerized Adaptive Testing. 2007;6. Available at: www.psych.umn.edu/psylabs/CATCentral/. Accessed Sep 12, 2007.
51. S.D. Keller, M.S. Bayliss, J.E. Ware Jr. , M.A. Hsu, A.M. Damiano, and T.F. Goss Comparison of responses to SF-36 Health Survey questions with one-week and four-week recall periods Health Serv Res 32 1997 367 384
52. D.C. Ang, H. Choi, K. Kroenke, and F. Wolfe Comorbid depression is an independent risk factor for mortality in patients with rheumatoid arthritis J Rheumatol 32 2005 1013 1019
53. M.L. Bruce, T.E. Seeman, S.S. Merrill, and D.G. Blazer The impact of depressive symptomatology on physical disability: MacArthur Studies of Successful Aging Am J Public Health 84 1994 1796 1799
54. E.H. Lin, W. Katon, M. Von Korff, L. Tang, J.W. Williams Jr. , and K. Kroenke Effect of improving depression care on pain and functional outcomes among older adults with arthritis: a randomized controlled trial J Am Med Assoc 290 2003 2428 2434
55. K. Van der Kooy, H. van Hout, H. Marwijk, H. Marten, C. Stehouwer, and A. Beekman Depression and the risk for cardiovascular diseases: systematic review and meta analysis Int J Geriatr Psychiatry 22 2007 613 626
56. Vilagut G, Forero CG, Pinto A, Haro JM, de Graaf R, Bruffaerts R, et al., on behalf of the ESEMeD investigators. The mental component of the SF-12 as a measure of depressive disorders in the general population: results with three alternative scoring methods. Value Health. In press. http://dx.doi.org/10.1016/ j.jval.2013.01.006.
57. F. Lord Applications of item response theory to practical testing problems 1980 Addison-Wesley Hillsdale, NJ
58. R.D. Hays, L.S. Morales, and S.P. Reise Item response theory and health outcomes measurement in the 21st century Med Care 38 2000 II28 II42
59. R. Holman, C.A.W. Glas, and R.J. de Haan Power analysis in randomized clinical trials based on item response theory Control Clin Trials 24 2003 390 410
60. R.J. Wirht, and M.C. Edwards Item factor analysis: current approaches and future directions Psychol Methods 12 2007 59 79
61. A. Maydeu-Olivares, U. Kramp, C.G. Forero, D. Gallardo-Pujol, and D. Coffman The effect of varying the number of response alternatives in rating scales: experimental evidence from intra-individual effects Behav Res Methods 41 2009 295 308