Application of Item Response Theory to the Analysis of Attitude Scales. The article presents Item Response Theory (lRT) and illustrates its application to the analysis of two measures of work-related attitudes -- value given to social aspects of the job and satisfaction with extrinasic aspects of the job. Results of IRT analysis show that extrinsic satisfaction cannot be measured in the same way among contract professionals as opposed to regular employees. Using information provided by IRT analysis. it appeared that satisfaction with salary cannot be included in a scale measuring extrinsic satisfaction because it does not contribute to the measure in the same way for the two groups of employees: furthermore, satisfaction with social benefits may be included in the scale only if discrimination and difficulty parameters are allowed to vary across groups. Analyses of variance using theta scores estimated in this way give statistical conclusions that are notably different form those obtained using traditional additive scores and permit refinement of interpretation.
Bartholomew, D.J.: Schuessler, K.F. ( 1991). Reliability of Attitude Scores Based on a Latent Trait ModelSociological Methodology, 21, 97-123.
2.
Bontempo, R. ( 1993). Translation Fidellty of Psychological Scales: An Item Response Theory Analysis of an Individualism-Collectivism Scale. Journal of Cross Cultural Psychology, 24 (2), 149-166.
3.
De Ayala, R.J. ( 1993). An Introduction to Polytomous Item Response Theory Models . Measurement and Evaluation in Counseling and Development , 25 (4), 172-189.
4.
Durand, C. ( 1993). L'aspirntion à la mobilité en emploi chez les professionnels, diverses formes, divers déterminants, Thèse présentée à la Faculté des études supérieures , Université de Montréal, Montréal, Canada.
5.
Durand, C. ( 1996a). Intérêt de la théorie de réponse aux items pour élaborer des échelles de mesure des attitudes. XXVIIIème Journées de statistique, Québec , Université Laval, 27-30 mai 1996.
6.
Durand, C. ( 1996b). Looking for Equivalence in the Measurement of Attitudes across Populations and Samples. Fourth International Conference on Social Science Methodology. Essex, England. July 1-4.
7.
Ellis, B.B., & Kimmel, H.D. ( 1992). Identification of Unique Cultural Pattems par Means of Item Response Theory. Journal of Applied Psychology , 77 (2), 177-184.
8.
Hambleton, R.K., & Jones, R.W. ( 1993). Comparison of Classical Test Theory and Item Response Theory and Their Applications to Test Development. Educational Measurement Issues and Practice, 12 (3). 38-47.
Reise, Steven P: Yu, Jiayuan ( 1990). Parameter Recovery in the Graded Response Model Using MULTILOG. Journal of Educational Measurement, 27 (2). 133-144.
14.
Schaeffer, N.C. ( 1988). An Application of Item Response Theory to the Measurement of Depression. Sociological Methodology, 18, 271-307.
15.
Stone, C.A. ( 1992). Recovery of Marginal Maximum Likelihood Estimates in the Two-Parameter Logistic Response Model: An Evaluation of MULTILOG. Applied Psychological Measurement, 16 (1), 1-16.
16.
Thissen, D. ( 1991). MULTILOG User's Guide: Multiple, Categorical Item Analysis and Test Scoring Using Item Response Theory, Chicago: Scientific Software, Inc.
17.
Thissen, D., & Mooney, J.A. ( 1989). Loglinear Item Response Models, with Applications to Data from Social Surveys. Sociological Methodology, 19, 299-330.
