Rasch model estimation

Results: 29



#Item
11Estimation of Item Response Models Using the EM Algorithm for Finite Mixtures

Estimation of Item Response Models Using the EM Algorithm for Finite Mixtures

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Source URL: act.org

Language: English - Date: 2015-01-06 13:08:25
12Microsoft Word - 2010_MOD_Math_Tech Report_Final Edits_.doc

Microsoft Word - 2010_MOD_Math_Tech Report_Final Edits_.doc

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Source URL: www.marylandpublicschools.org

Language: English - Date: 2013-08-22 16:22:52
13Microsoft Word - 2010_MOD_Reading_Tech Report_Final Edits_.doc

Microsoft Word - 2010_MOD_Reading_Tech Report_Final Edits_.doc

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Source URL: marylandpublicschools.org

Language: English - Date: 2013-08-22 16:23:20
14Microsoft Word - 2010_MOD_Reading_Tech Report_Final Edits_.doc

Microsoft Word - 2010_MOD_Reading_Tech Report_Final Edits_.doc

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Source URL: www.marylandpublicschools.org

Language: English - Date: 2013-08-22 16:23:20
15Journal of Educational Measurement Winter 2006, Vol. 43, No. 4, pp. 335–353 Modeling Randomness in Judging Rating Scales with a Random-Effects Rating Scale Model Wen-Chung Wang

Journal of Educational Measurement Winter 2006, Vol. 43, No. 4, pp. 335–353 Modeling Randomness in Judging Rating Scales with a Random-Effects Rating Scale Model Wen-Chung Wang

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Source URL: gse.berkeley.edu

Language: English - Date: 2014-10-30 20:16:41
16Journal of Educational Measurement Summer 2007, Vol. 44, No. 2, pp. 131–155 Generalizability in Item Response Modeling Derek C. Briggs University of Colorado, Boulder

Journal of Educational Measurement Summer 2007, Vol. 44, No. 2, pp. 131–155 Generalizability in Item Response Modeling Derek C. Briggs University of Colorado, Boulder

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Source URL: gse.berkeley.edu

Language: English - Date: 2014-10-30 20:16:41
17CRESST REPORT 839 A NEW STATISTIC FOR EVALUATING ITEM RESPONSE THEORY MODELS FOR ORDINAL DATA MARCH, 2014

CRESST REPORT 839 A NEW STATISTIC FOR EVALUATING ITEM RESPONSE THEORY MODELS FOR ORDINAL DATA MARCH, 2014

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Source URL: www.cse.ucla.edu

Language: English - Date: 2014-03-24 17:12:52
18Estimation of a Rasch model including subdimensions Steffen Brandt Leibniz Institute for Science Education, Kiel, Germany  Many achievement tests, particularly in large-scale assessments, deal with

Estimation of a Rasch model including subdimensions Steffen Brandt Leibniz Institute for Science Education, Kiel, Germany Many achievement tests, particularly in large-scale assessments, deal with

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Source URL: www.ierinstitute.org

Language: English - Date: 2012-01-04 07:01:18
19Variance estimation for NAEP data using a comprehensive resampling-based approach: An application of cognitive diagnostic models1 Chueh-an Hsieh Michigan State University, East Lansing, Michigan, United States of America

Variance estimation for NAEP data using a comprehensive resampling-based approach: An application of cognitive diagnostic models1 Chueh-an Hsieh Michigan State University, East Lansing, Michigan, United States of America

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Source URL: www.ierinstitute.org

Language: English - Date: 2012-01-04 07:01:18
2082  References Bock, R. D., & Aitkin, M[removed]Marginal maximum likelihood estimation of item parameters: An application of an EM algorithm. Psychometrika, 46, 443–459. Burket, G. R[removed]PARDUX [Computer program]

82 References Bock, R. D., & Aitkin, M[removed]Marginal maximum likelihood estimation of item parameters: An application of an EM algorithm. Psychometrika, 46, 443–459. Burket, G. R[removed]PARDUX [Computer program]

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Source URL: www.marylandpublicschools.org

Language: English - Date: 2013-08-22 16:22:42