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Volumn 27, Issue 3, 2002, Pages 271-289

Modeling incomplete scaled questionnaire data with a partial credit hierarchical measurement model

Author keywords

Gibbs sampling; Hierarchical linear models; Item response theory; Missing data

Indexed keywords


EID: 0036763541     PISSN: 10769986     EISSN: None     Source Type: Journal    
DOI: 10.3102/10769986027003271     Document Type: Article
Times cited : (12)

References (25)
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  • 12
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    • The analysis of social science data with missing values
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    • (1989) Socio-logical Methods and Research , vol.18 , Issue.2-3 , pp. 292-326
    • Little, R.1    Rubin, D.2
  • 15
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    • A Rasch model for partial credit scoring
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    • Applications and extensions of MCMC in IRT: Multiple item types, missing data, and rated responses
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    • Patz, R.J.1    Junker, B.W.2
  • 18
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    • A straightforward approach to Markov Chain Monte Carlo methods for item response models
    • Patz, R.J., & Junker, B.W. (1999b). A straightforward approach to Markov Chain Monte Carlo methods for item response models. Journal of Educational and Behavioral Statistics, 24(2), 146-178.
    • (1999) Journal of Educational and Behavioral Statistics , vol.24 , Issue.2 , pp. 146-178
    • Patz, R.J.1    Junker, B.W.2
  • 20
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    • Inference and missing data
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.