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Volumn 25, Issue 2, 2006, Pages 19-20

A clarification on the response probability criterion RP67 for standard settings based on bookmark and item mapping

Author keywords

Bookmark standard setting; Item mapping; Response probability criterion; RP value; Scale anchoring

Indexed keywords


EID: 33747228537     PISSN: 07311745     EISSN: 17453992     Source Type: Journal    
DOI: 10.1111/j.1745-3992.2006.00053.x     Document Type: Article
Times cited : (24)

References (14)
  • 5
    • 0346580800 scopus 로고
    • Some technical aspects in standard setting
    • October. (co-sponsored by National Assessment Governing Board and National Center for Education Statistics), Washington, DC, October 5-7, 1994
    • Huynh, H. (1994, October). Some technical aspects in standard setting. In Proceedings of the Joint Conference on Standard Setting for Large Scale Assessment Programs (co-sponsored by National Assessment Governing Board and National Center for Education Statistics), Washington, DC, October 5-7, 1994, pp. 75-91.
    • (1994) Proceedings of the Joint Conference on Standard Setting for Large Scale Assessment Programs , pp. 75-91
    • Huynh, H.1
  • 7
    • 0032349240 scopus 로고    scopus 로고
    • On score locations of binary and partial credit items and their applications to item mapping and criterion-referenced interpretation
    • Huynh, H. (1998). On score locations of binary and partial credit items and their applications to item mapping and criterion-referenced interpretation. Journal of Educational and Behavioral Statistics, 23, 35-56.
    • (1998) Journal of Educational and Behavioral Statistics , vol.23 , pp. 35-56
    • Huynh, H.1
  • 14
    • 0346331551 scopus 로고    scopus 로고
    • Use of the Rasch IRT model in standard setting: An item mapping method
    • Wang, N. (2003). Use of the Rasch IRT model in standard setting: An item mapping method. Journal of Educational Measurement, 40, 231-252.
    • (2003) Journal of Educational Measurement , vol.40 , pp. 231-252
    • Wang, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.