[1] |
Abswoude, A.A.H. & Andries, L.Ark, van der et al.(2004).A comparative study of test data dimensionality assessment procedures under nonparametric IRT Models.Applied Psychological Measurement, 28 (1). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=10.1177/0146621603259277
|
[2] |
Abswoude, A.A.H. & Vermunt, J.K.et al.(2004).Mokken scale analysis using hierarchical clustering procedures.Applied Psychological Measurement.28 (5). http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=10.1177/0146621604265510
|
[3] |
Bacon, D.R.(2001).An evaluation of cluster analytic approaches to initial model specification.Structural Equation Modelling.
|
[4] |
Mokken, R.J. & Lewis, C.(1982).A non parametric approach to the analysis of dichotomous item responses.Applied Psychological Measurement.6:417-430 doi: 10.1177/014662168200600404
|
[5] |
Mokken, R.J.(1997).Nonparametric models for dichotomous response.In: Linden, W.J.van der.Hambleton, R.K. Handbook of Modern Item Response Theory.New York: Springer, 351-367
|
[6] |
Molenaar, I.W. & Sijtsma, K.(2000).Users manual MSP5 for windows: A program for Mokken scale analysis for polytomous items [Software manual].Groningen, the Netherlands: iec ProGARAMMA,
|
[7] |
Molenaar, I.W.(1983).Some improved diagnostics for failure of Rasch model.Psychometrika, 48:49-72 http://www.onacademic.com/detail/journal_1000034942026010_3505.html
|
[8] |
Sijtsma, K. & Molenaar, I.W.(2002).Introduction to nonparametric item response theory.London: International Educational and Professional Publisher
|
[9] |
Stout, W.F.(1990).A new response theory modeling approach with applications to unidimensionality assessment and ability estimation.Psychometrika, 55:293-325 doi: 10.1007/BF02295289
|
[10] |
Stout, W.F. & Habing, B.et al.(1996).Conditional covariance-based nonparametric multidimensionality assessment.Applied Psychological M easurement.20:331-354 doi: 10.1177/014662169602000403
|
[11] |
Zhang, J. & Stout, W.F.(1999).Conditional covariance structure of generalized compensatory multidimensional items.Psychometrika, 64:129-152 doi: 10.1007/BF02294532
|