Evaluation and improvement of the psychometric properties of the Hamilton Rating Scale for Depression using Rasch analysis for applying in Belarusian population
International Journal of Applied Behavioral Sciences,
Vol. 4 No. 1 (2017),
12 Esfand 2018
,
Page 40-46
https://doi.org/10.22037/ijabs.v4i1.16593
Abstract
Introduction: The Hamilton Rating Scale for Depression (HAM-D) has not been tested for the psychometric properties in Belarusian population. In this regard conducting psychometric assessment of the HAM-D used in Belarusian population has special importance. The aim of this study was to investigate and improve the psychometric properties of the HAM-D applying in Belarusian population through Rasch analysis. Methods: Data from 551 Belarusian patients with confirmed diagnosis of depression were used in this study. The Partial Credit Model was used in the psychometric analysis. Results: The analysis of item-person map showed disagreement between distributions of person measures and item categories. Only 8 items had appropriate values of Rasch fit-indexes. I have improved the psychometric properties of the HAM-D. Five items with bad values of fit-indexes were recombined into two new items. New items were added to the remaining 8 items with acceptable fit-indexes values and then Rasch analysis was repeated. All items showed adequate construct validity. The person separation index (PSI) for original HAM-D was 2.32. The person reliability was 0.84. Reliability analysis of the final model included 10 items showed higher estimates: the PSI was 3.61, the number of strata rose to 5.14, the person reliability was 0.93. Conclusion: This study revealed that the HAM-D applied in Belarusian population has several psychometric problems. After removing invalid items and changing score rules of bipolar items psychometric properties of the scale were improved. Declaration of Interest: None.
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- Rasch analysis
- Hamilton Rating Scale Depression
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References
Cusin C, Yang H, Yeung A, Fava M. Rating Scales for Depression. In: Baer L, Blais MA, editor. Handbook of Clinical Rating Scales and Assessment in Psychiatry and Mental Health. Totowa, NJ: Humana Press; 2009. p. 7–35.
McDowell I. Measuring Health: A Guide to Rating Scales and Questionnaires. 3rd ed. New York: Oxford University Press; 2006.
Bagby RM, Ryder AG, Schuller DR, Marshall MB. The Hamilton Depression Rating Scale: Has the Gold Standard Become a Lead Weight? American Journal of Psychiatry 2004; 161:2163-2177 .
Hamilton M. A rating scale for depression. J. Neurol. Neurosurg. Psychiatr. 1960:56–62.
Bech P, Allerup P, Larsen ER, Csillag C, Licht RW. The Hamilton Depression Scale (HAM-D) and the Montgomery–Åsberg Depression Scale (MADRS). A psychometric re-analysis of the European Genome-Based Therapeutic Drugs for Depression Study using Rasch analysis. Psychiatry Research 2014; 217(3):226–32.
Lord, F. M., Novick M.R. Statistical theories of mental test scores: Addison-Wesley Pub. Co.; 1968.
Crocker L, Algina J. Introduction to Classical and Modern Test Theory: Cengage Learning; 2008.
Bond TG, Fox CM. Applying the Rasch Model: Fundamental Measurement in the Human Sciences. 2nd: LEA; 2007.
Green K, Frantom C. Survey development and validation with the Rasch model: Paper presented at the International Conference on Questionnaire Development, Evaluation and Testing, Charleston, SC, 14-17 November.; 2002.
Jafari P, Bagheri Z, Ayatollahi S, Soltani Z. Using Rasch rating scale model to reassess the psychometric properties of the Persian version of the PedsQLTM 4.0 Generic Core Scales in school children. Health and Quality of Life Outcomes 2012; 10(1):27–38.
DeMars C. Item response theory: Oxford University Press; 2010.
Wright BD, Stone MH. Measurement essentials. 2nd: Wilmington, Delaware: WIDE RANGE, INC; 1999.
Meyer JP. Applied Measurement with jMetrik: Routledge; 2014.
Pallant J, Tennant A. An introduction to the Rasch measurement model: An example of suing the Hospital Anxiety ande Depsression Scale (HADS). B J Clin Psych 2007; 46:1–18.
Zucca A, Lambert SD, Boyes AW, Pallant JF. Rasch analysis of the Mini-Mental Adjustment to Cancer Scale (mini-MAC) among a heterogeneous sample of long-term cancer survivors: A cross-sectional study. Health and Quality of Life Outcomes 2012; 10(1):55.
Wright BD, Linacre J.M. Reasonable mean-square fit values. Rasch Measurement Transaction 1994; 8(3):370.
Linacre JM. Detecting multidimensionality: Which residual data-type works best? Journal of Outcome Measurement 1998; 2(3):266–83.
Linacre JM. Local independence and residual covariance: A study of olympic figure skating ratings. Journal of Applied Measurement 2009; 10(2):157–69.
Hamilton M. Development of a rating scale for primary depressive illness. The British journal of social and clinical psychology 1967; 6(4):278–96.
Bech P, Allerup P, Gram LF, Reisby N, Rosenberg R, Jacobsen O et al. The Hamilton depression scale. Evaluation of objectivity using logistic models. Acta psychiatrica Scandinavica 1981; 63(3):290–9.
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