| Ditemukan 313 dokumen dengan kata kunci 9501 |
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Alternative Hypothesis Tetsing Procedures for DIMTEST
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Direct Likelihood Analysis and Multiple Imputation for Missing Item Scores in Multilevel Cross-Classification Educational Data
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| Pengarang: Damazo T. Kadengye | No. Panggil: Applied Psychological Measurement, Vol.38, No.1, January 2014 p.61-80 |
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Direct Likelihood Analysis and Multiple Imputation for Missing Item Scores in Multilevel Cross-Classification Educational Data
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| Pengarang: Damazo T. Kadengye, Eva Ceulemans, Wim Van den Noortgate | No. Panggil: JI01-APM |
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Detecting Aberrant Responding on Unidimensional Pairwise Preference Tests: An Application of lz Based on the Zinnes–Griggs Ideal Point IRT Model
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| Pengarang: Philseok Lee, Stephen Stark, and Oleksandr S. Chernyshenko | No. Panggil: Applied Psychological Measurement, Vol.38, No.5, July 2014 p.391-403 |
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A Note on Conditional and Quasi-Conditional Maximum Likelihood Estimation for Polytomous Item Response Models: Robust Inference in the Presence of Individual Differences in Response Scale Use
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| Pengarang: Timothy R. Johnson | No. Panggil: Applied Psychological Measurement, Vol.38, No.8, Nov 2014 p.599-613 |
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A Note on Conditional and Quasi-Conditional Maximum Likelihood Estimation for Polytomous Item Response Models: Robust Inference in the Presence of Individual Differences in Response Scale Use
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An Illustration of the Effects of Ignoring a Secondary Factor
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| Pengarang: Christine E. DeMars | No. Panggil: Applied Psychological Measurement, Vol.38, No.5, July 2014 p.406-409 |
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Power and Sample Size Calculations for Logistic Regression Tests for Differential Item Functioning
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| Pengarang: Zhushan Li | No. Panggil: Journal of Educational Measurement, Vol.51, No.4, 2014 Winter p.441-462 |
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Item Response Models for Local Dependence Among Multiple Ratings
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| Pengarang: Wen-Chung Wang, Chi-Ming Su, Xue-Lan Qiu | No. Panggil: Journal of Educational Measurement, Vol.51, No.3, 2014 Fall p.260-280 |
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Power and Sample Size CalculationFor Logistic Regression Test for Differential Item Functioning
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