Skip to main content

Advertisement

Log in

Validating, Improving Reliability, and Estimating Correlation of the Four Subscales in the WHOQOL-BREF using Multidimensional Rasch Analysis

  • Published:
Quality of Life Research Aims and scope Submit manuscript

Abstract

Objective: This study examined the construct validity, and improved the test reliability and the estimation accuracy for the correlation between domains of the WHOQOL-BREF using multidimensional Rasch analysis. Method: A total of 13,083 adults were administered the 28-item WHOQOL-BREF Taiwan version, which consists of 4 subscales (domains). The multidimensional form of the partial credit model was used to examine the fit of the 4 subscales. For comparison, each subscale individually was also fitted to the unidimensional partial credit model. Standard item fit statistics and analysis of differential item functioning (DIF) were used to check model-data fit. Results: After excluding 2 overall items and deleting 7 DIF items, the remaining items of each subscale in the WHOQOL-BREF constituted a single construct. The test reliabilities and correlations between domains obtained from the multidimensional approach, (0.82–0.86) and (0.79–0.89), respectively, were much higher than those obtained from the unidimensional approach, (0.67–0.75) and (0.53–0.65), respectively. Conclusion: The 19-item WHOQOL-BREF measures more succinct latent traits than the original design. The multidimensional approach yields not only more accurate estimates for the correlation between domains but also substantially higher reliabilities, than the standard unidimensional approach.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. InstitutionalAuthorNameThe WHOQOL group (1998) ArticleTitleThe World Health Organization Quality of Life Assessment (WHOQOL): development and general psychometric properties Soc Sci Med 46 1569–1585 Occurrence Handle10.1016/S0277-9536(98)00009-4

    Article  Google Scholar 

  2. InstitutionalAuthorNameThe WHOQOL-Taiwan Group (2000) User Manual of the WHOQOL-BREF Taiwan Version EditionNumber1 Institute of Occupational Medicine and Industrial Hygiene, National Taiwan University College of Public Health Press Taipei, Taiwan

    Google Scholar 

  3. PC Hsiung CT Fang YY Chang MY Chen JD Wang (2005) ArticleTitleComparison of WHOQOL-BREF and SF-36 in patients with HIV infection Qual Life Res 14 141–150 Occurrence Handle10.1007/s11136-004-6252-z Occurrence Handle15789948

    Article  PubMed  Google Scholar 

  4. HF Hwang WM Liang YN Chiu MR Lin (2003) ArticleTitleSuitability of the WHOQOL-BREF for community-dwelling older people in Taiwan Age Ageing 32 593–600 Occurrence Handle10.1093/ageing/afg102 Occurrence Handle14599999

    Article  PubMed  Google Scholar 

  5. SM Skevington M Lotfy KA O’Connell (2004) ArticleTitleThe World Health Organization’s WHOQOL-BREF quality of life assessment: psychometric properties and results of the international field trial. A report from the WHOQOL group Qual Life Res 13 299–310 Occurrence Handle10.1023/B:QURE.0000018486.91360.00 Occurrence Handle1:STN:280:DC%2BD2c7ovF2itQ%3D%3D Occurrence Handle15085902

    Article  CAS  PubMed  Google Scholar 

  6. V Noerholm P Bech (2001) ArticleTitleThe WHO Quality of Life (WHOQOL) Questionnaire: Danish validation study Nord J Psychiatry 55 229–235 Occurrence Handle10.1080/080394801681019075

    Article  Google Scholar 

  7. V Noerholm M Groenvold T Watt JB Bjorner NA Rasmussen P Bech (2004) ArticleTitleQuality of life in the Danish general population – normative data and validity of WHOQOL-BREF using Rasch and item response theory models Qual Life Res 13 531–540 Occurrence Handle10.1023/B:QURE.0000018485.05372.d6 Occurrence Handle1:STN:280:DC%2BD2c7ovF2nsg%3D%3D Occurrence Handle15085925

    Article  CAS  PubMed  Google Scholar 

  8. D Andrich (1978) ArticleTitleA rating formulation for ordered response categories Psychometrika 43 561–573 Occurrence Handle10.1007/BF02293814

    Article  Google Scholar 

  9. G Rasch (1960) Probabilistic Models for Some Intelligence and Attainment Tests Institute of Educational Research Copenhagen

    Google Scholar 

  10. BD Wright MH Stone (1979) Best Test Design Measurement, Evaluation, Statistics, and Assessment Press Chicago

    Google Scholar 

  11. WC Wang PH Chen YY Cheng (2004) ArticleTitleImproving measurement precision of test batteries using multidimensional item response models Psychol Methods 9 116–136 Occurrence Handle10.1037/1082-989X.9.1.116 Occurrence Handle15053722

    Article  PubMed  Google Scholar 

  12. YT Shih YT Hung HY Chang et al. (2004) ArticleTitleThe design, contents, operation and characteristics of the respondents of the 2001 National Health Interview Survey in Taiwan Taiwan J Public Health 22 419–430

    Google Scholar 

  13. G Yao CW Chung CF Yu JD Wang (2002) ArticleTitleDevelopment and verification of validity and reliability of the WHOQOL-BREF Taiwan version J Formos Med Assoc 101 342–351 Occurrence Handle12101852

    PubMed  Google Scholar 

  14. RJ Adams M Wilson WC Wang (1997) ArticleTitleThe multidimensional random coefficients multinomial logit model Appl Psychol Meas 21 1–23 Occurrence Handle1:CAS:528:DyaK2sXhsl2ltrc%3D

    CAS  Google Scholar 

  15. GH Fischer (1973) ArticleTitleThe linear logistic test model as instrument in educational research Acta Psychol 37 359–374 Occurrence Handle10.1016/0001-6918(73)90003-6

    Article  Google Scholar 

  16. GN Masters (1982) ArticleTitleA Rasch model for partial credit scoring Psychometrika 47 149–174 Occurrence Handle10.1007/BF02296272

    Article  Google Scholar 

  17. MR Wilson (1992) ArticleTitleThe partial order model: an extension of the partial credit model Appl Psychol Meas 16 309–325

    Google Scholar 

  18. JM Linacre (1989) Many-facet Rasch Measurement Measurement, Evaluation, Statistics, and Assessment Press Chicago

    Google Scholar 

  19. GH Fischer I Pononcy (1994) ArticleTitleAn extension of the partial credit model with an application to the measurement of change Psychometrika 59 177–192 Occurrence Handle10.1007/BF02295182

    Article  Google Scholar 

  20. RJ Adams MR Wilson (1996) Formulating the Rasch model as a mixed coefficients multinomial logit G Englhard M Wilson (Eds) Objective Measurement: Theory into Practice NumberInSeries3 Ablex Norwood, NJ

    Google Scholar 

  21. De Boeck P, Wilson MR (eds), Explanatory item response models: a generalized linear and nonlinear approach. New York: Springer-Verlag, 2004.

  22. P McCullagh JA Nelder (1989) Generalized Linear Models EditionNumber2 Chapman & Hall London

    Google Scholar 

  23. CE McCulloch SR Searle (2001) Generalized, Linear, and Mixed Models Wiley New York

    Google Scholar 

  24. JA Nelder RWM Wedderburn (1972) ArticleTitleGeneralized linear models J R Stat Soc Ser A 135 370–384

    Google Scholar 

  25. F Rijmen F Tuerlinckx P Boeck ParticleDe P Kuppens (2003) ArticleTitleA nonlinear mixed model framework for item response theory Psychol Methods 8 185–205 Occurrence Handle10.1037/1082-989X.8.2.185 Occurrence Handle12924814

    Article  PubMed  Google Scholar 

  26. ML Wu RJ Adams MR Wilson (1998) ConQuest Australian Council for Educational Research Camberwell, Victoria, Australia

    Google Scholar 

  27. InstitutionalAuthorNameSAS Institute (1999) The NLMIXED procedure Author Cary, NC

    Google Scholar 

  28. Wolfinger RD, SAS Institute Inc. Fitting nonlinear mixed models with the new NLMIXED procedure: Proceedings of the 99 Joint Statistical Meetings, 1999.

  29. InstitutionalAuthorNameStataCrop (2003) Stata Statistical Software: Release 8.0. College Station StataCorp LP TX

    Google Scholar 

  30. A Skrondal S Rabe-Hesketh (2004) Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models Chapman & Hall/ CRC Press Boca Raton, FL

    Google Scholar 

  31. D Hedeker RD Gibbons (1996) ArticleTitleMIXOR: a computer program for mixed-effects ordinal regression analysis Comput Methods Programs Biomed 49 157–176 Occurrence Handle10.1016/0169-2607(96)01720-8 Occurrence Handle1:STN:280:BymA38zltFw%3D Occurrence Handle8735023

    Article  CAS  PubMed  Google Scholar 

  32. D Hedeker (1999) MIXNO University of Illinois Press Chicago

    Google Scholar 

  33. FM Lord (1980) Applications of Item Response Theory to Practical Testing Problems Erlbaum Hillsdale, NJ

    Google Scholar 

  34. PW Holland H Wainer (1993) Differential Item Functioning Erlbaum Hillsdale, NJ

    Google Scholar 

  35. SE Embretson SP Reise (2000) Item Response Theory for Psychologists Lawrence Erlbaum Associates, Inc Mahwah, NJ

    Google Scholar 

  36. BD Wright JM Linacre J-E Gustafson P Martin-Lof (1994) ArticleTitleReasonable mean-square fit values. Rasch Measurement Transactions Rasch Meas Trans 8 370

    Google Scholar 

  37. MF Zimowski E Muraki RJ Mislevy RD Bock (1996) BILOG-MG: Multiple-Group IRT Analysis and Test Maintenance for Binary Items Scientific Software international Chicago, IL

    Google Scholar 

  38. J Linacre (2003) A User’s Guide to WINSTEPS MINISTEP Rasch-model Computer Programs John M. Linacre Chicago

    Google Scholar 

  39. WC Wang YL Yeh (2003) ArticleTitleEffects of anchor item methods on differential item functioning detection with the likelihood ratio test Appl Psychol Meas 27 479–498 Occurrence Handle10.1177/0146621603259902

    Article  Google Scholar 

  40. Hung YT. Sampling design of the National Health Interview Survey: NHIS Brief Communication No. 2; 2002.

  41. Lin SH. Field collection and completeness of data in the National Health Interview Survey: NHIS Brief Communication No. 4; 2002.

  42. C Spearman (1994) ArticleTitle“General intelligence” objectively determined and measured Am J Psychol 15 201–293 Occurrence Handle10.2307/1412107

    Article  Google Scholar 

  43. WC Wang (2004) ArticleTitleDirect estimation of correlation as a measure of association strength using multidimensional item response models Educ Psychol Meas 64 937–955 Occurrence Handle10.1177/0013164404268671

    Article  Google Scholar 

  44. FM Lord M Novick (1968) Statistical Theories of Mental Test Scores Addison-Wesley Reading, MA

    Google Scholar 

  45. H Hoijtink G Rooks FW Wilmink (1999) ArticleTitleConfirmatory factor analysis of items with a dichotomous response format using the multidimensional Rasch model Psycho Methods 4 300–314 Occurrence Handle10.1037/1082-989X.4.3.300

    Article  Google Scholar 

  46. LJ Cronbach G Gleser (1965) Psychological Tests and Personnel Decision EditionNumber2 University of Illinois Press Urbana, IL

    Google Scholar 

  47. C Shannon W Weaver (1949) The Mathematical Theory of Communication University of Illinois Press Urbana, IL

    Google Scholar 

  48. RD Bock M Aitkin (1981) ArticleTitleMarginal maximum likelihood estimation of item parameters: application of an EM algorithm Psychometrika 46 443–459 Occurrence Handle10.1007/BF02293801

    Article  Google Scholar 

  49. AP Dempster NM Laird DB Rubin (1977) ArticleTitleMaximum likelihood from incomplete data via the EM algorithm J R Stat Soc B 39 1–38

    Google Scholar 

  50. PM Lee (1989) Bayesian Statistics: An Introduction Oxford University Press New York

    Google Scholar 

  51. RD Bock RJ Mislevy (1982) ArticleTitleAdaptive EAP estimation of ability in a microcomputer environment Appl Psychol Meas 6 431–444

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wen-Chung Wang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wang, WC., Yao, G., Tsai, YJ. et al. Validating, Improving Reliability, and Estimating Correlation of the Four Subscales in the WHOQOL-BREF using Multidimensional Rasch Analysis. Qual Life Res 15, 607–620 (2006). https://doi.org/10.1007/s11136-005-4365-7

Download citation

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11136-005-4365-7

Keywords

Navigation