Polytomous IRT Models and Monotone Likelihood Ratio of the Total Score
It is demonstrated that for polytomous items the monotone likelihood ratio (MLR) holds for the partial credit model. MLR does not necessarily hold if the slopes of the item response functions vary over items or item steps. MLR also does not hold for the graded response model. (Author/SLD)
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Veröffentlicht in: | Psychometrika 1996-12, Vol.61 (4), p.679-693 |
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container_title | Psychometrika |
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description | It is demonstrated that for polytomous items the monotone likelihood ratio (MLR) holds for the partial credit model. MLR does not necessarily hold if the slopes of the item response functions vary over items or item steps. MLR also does not hold for the graded response model. (Author/SLD) |
doi_str_mv | 10.1007/bf02294042 |
format | Article |
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identifier | ISSN: 0033-3123 |
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issn | 0033-3123 1860-0980 |
language | eng |
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source | SpringerLink Journals; Periodicals Index Online |
subjects | Equations (Mathematics) Graded Response Model Item Response Theory Likelihood Ratio Tests Monotonic Relationships Nonparametric Statistics Partial Credit Model Polytomous Items Scores |
title | Polytomous IRT Models and Monotone Likelihood Ratio of the Total Score |
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