SEARCH

SEARCH BY CITATION

REFERENCES

  • 1
    Nunally JC. Psychometric theory. New York: McGraw-Hill; 1978.
  • 2
    Cronbach IJ. Coefficient alpha and the internal structure of tests. Psychometrika 1951; 16: 297333.
  • 3
    Kazis LE, Anderson JJ, Meenan RF. Effect sizes for interpreting changes in health status. Med Care 1989; 27 Suppl 3: S17889.
  • 4
    Tennant A, McKenna SP, Hagell P. Application of Rasch analysis in the development and application of quality of life instruments. Value Health 2004; 7 Suppl 1: S226.
  • 5
    Rasch G. Probabilistic models for some intelligence and attainment tests. Chicago: University of Chicago; 1960.
  • 6
    Tennant A, Hillman M, Fear J, Pickering A, Chamberlain MA. Are we making the most of the Stanford Health Assessment Questionnaire? Br J Rheumatol 1996; 35: 5748.
  • 7
    Wolfe F, van der Heijde DM, Larsen A. Assessing radiographic status of rheumatoid arthritis: introduction of a short erosion scale. J Rheumatol 2000; 27: 20909.
  • 8
    Kopec JA, Sayre EC, Davis AM, Badley EM, Abrahamowicz M, Sherlock L, et al. Assessment of health-related quality of life in arthritis: conceptualization and development of five item banks using item response theory. Health Qual Life Outcomes 2006; 4: 33.
  • 9
    Perline R, Wright BD, Wainer H. The Rasch model as additive conjoint measurement. Appl Psychol Meas 1979; 3: 23756.
  • 10
    Karabatos G. The Rasch model, additive conjoint measurement, and new models of probabilistic measurement theory. J Appl Meas 2001; 2: 389423.
  • 11
    Luce RD, Tukey JW. Simultaneous conjoint measurement: a new type of fundamental measurement. J Math Psychol 1964; 1: 127.
  • 12
    Andrich D. Rating formulation for ordered response categories. Psychometrika 1978; 43: 56173.
  • 13
    Guttman LA. The basis for Scalogram analysis. In: StoufferSA, GuttmanLA, SuchmanFA, LazarsfeldPF, StarSA, ClausenJA, editors. Studies in social psychology in World War II. IV. Measurement and prediction. Princeton: Princeton University; 1950. p. 6090.
  • 14
    Svensson, E. Guidelines to statistical evaluation of data from rating scales and questionnaires. J Rehabil Med 2001; 33: 478.
  • 15
    Gilworth G, Chamberlain MA, Bhakta B, Haskard D, Silman A, Tennant A. The development of the BD-QoL: a quality of life measure specific to Behçet's disease. J Rheumatol 2004; 31: 9317.
  • 16
    Smith RM. Fit analysis in latent trait measurement models. J Appl Meas 2000; 2: 199218.
  • 17
    Tennant A, Penta M, Tesio L, Grimby G, Thonnard JL, Slade A, et al. Assessing and adjusting for cross-cultural validity of impairment and activity limitation scales through differential item functioning within the framework of the Rasch model: the PRO-ESOR project. Med Care 2004; 42 Suppl 1: 3748.
  • 18
    Andrich D. Rasch models for measurement. Newbury Park (CA): Sage; 1988.
  • 19
    Pallant JF, Tennant A. Evaluation of the Edinburgh Post Natal Depression Scale using Rasch analysis. BMC Psychiatry 2006; 6: 28.
  • 20
    Pallant JF, Tennant A. An introduction to the Rasch measurement model: an example using the Hospital Anxiety and Depression Scale (HADS). Br J Clin Psychol 2007; 46: 118.
  • 21
    Lai JS, Cella D, Chang CH, Bode RK, Heinemann AW. Item banking to improve, shorten and computerize self-reported fatigue: an illustration of steps to create a core item bank from the FACIT-Fatigue Scale. Qual Life Res 2003; 12: 485501.
  • 22
    Gershon RC. Computer adaptive testing. J Appl Meas 2005; 6: 10927.
  • 23
    Linacre JM. WINSTEPS Rasch measurement computer program: version 3.64.1. Chicago: Winsteps.com; 2007.
  • 24
    Andrich D, Lyne A, Sheridan B, Luo G. RUMM 2020. Perth: RUMM Laboratory; 2003.
  • 25
    Wu ML, Adams RJ, Wilson MR. ACER ConQuest. Melbourne: Acer Press; 1998.
  • 26
    FischerGH, MolenaarIW, editors. Rasch models: foundations, recent developments, and applications. New York: Springer; 1995.
  • 27
    Masters G. A Rasch model for partial credit scoring. Psychometrika 1982; 47: 14974.
  • 28
    Bland JM, Altman DG. Multiple significance tests: the Bonferroni method. BMJ 1995; 310: 170.
  • 29
    Smith EV Jr, Smith RM. Introduction to Rasch measurement. Maple Grove (MN): JAM Press; 2004.
  • 30
    Wilson M. Constructing measures. Mahwah (NJ): Lawrence Erlbaum; 2005.
  • 31
    Teresi JA, Kleinman M, Ocepek-Welikson K. Modern psychometric methods for detection of differential item functioning: application to cognitive assessment measures. Stat Med 2000; 19: 165183.
  • 32
    Hagquist C, Andrich D. Is the sense of coherence-instrument applicable on adolescents? A latent trait analysis using Rasch-modelling. Pers Indiv Differ 2004; 36: 95568.
  • 33
    Lawton G, Lundgren-Nilsson A, Biering-Sorensen F, Tesio L, Slade A, Penta M, et al. Cross-cultural validity of FIM in spinal cord injury. Spinal Cord 2006; 44: 74652.
  • 34
    Wright BD. Local dependency, correlations and principal components. Rasch Meas Trans 1996; 10: 50911.
  • 35
    Smith EV. Detecting and evaluating the impact of multidimensionality using item fit statistics and principal component analysis of residuals. J Appl Meas 2002; 3: 20531.
  • 36
    Tennant A, Pallant JF. Unidimensionality matters. Rasch Meas Trans 2006; 20: 104851.
  • 37
    Stout WF. A new item response theory modelling approach with applications to unidimensionality assessment and ability estimation. Psychometrika 1990; 55: 293325.