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Predictive Utility of a Proficiency Cut Score in a Benchmark Assessment.
Predictive Utility of a Proficiency Cut Score in a Benchmark Assessment.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016053481
- International Standard Book Number
- 9798535548500
- Dewey Decimal Classification Number
- 379
- Main Entry-Personal Name
- Terada, Takeshi.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Arizona State University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 113 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-02, Section: A.
- General Note
- Advisor: Chen, Ying-Chih;Edwards, Michael.
- Dissertation Note
- Thesis (Ph.D.)--Arizona State University, 2021.
- Restrictions on Access Note
- This item must not be sold to any third party vendors.
- Subject Added Entry-Topical Term
- Education policy.
- Subject Added Entry-Topical Term
- Educational tests & measurements.
- Subject Added Entry-Topical Term
- Educational evaluation.
- Subject Added Entry-Topical Term
- Benchmarks.
- Subject Added Entry-Topical Term
- Students.
- Subject Added Entry-Topical Term
- Achievement tests.
- Subject Added Entry-Topical Term
- Investigations.
- Subject Added Entry-Topical Term
- Learning.
- Subject Added Entry-Topical Term
- Classification.
- Index Term-Uncontrolled
- Benchmark assessment
- Index Term-Uncontrolled
- Precision-recall curve
- Index Term-Uncontrolled
- Proficiency cut score
- Index Term-Uncontrolled
- Regression discontinuity design
- Added Entry-Corporate Name
- Arizona State University Educational Policy and Evaluation
- Host Item Entry
- Dissertations Abstracts International. 83-02A.
- Host Item Entry
- Dissertation Abstract International
- Electronic Location and Access
- 로그인을 한후 보실 수 있는 자료입니다.
- Control Number
- joongbu:610166
MARC
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■020 ▼a9798535548500
■035 ▼a(MiAaPQ)AAI28649300
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a379
■1001 ▼aTerada, Takeshi.
■24510▼aPredictive Utility of a Proficiency Cut Score in a Benchmark Assessment.
■260 ▼a[S.l.]▼bArizona State University. ▼c2021
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2021
■300 ▼a113 p.
■500 ▼aSource: Dissertations Abstracts International, Volume: 83-02, Section: A.
■500 ▼aAdvisor: Chen, Ying-Chih;Edwards, Michael.
■5021 ▼aThesis (Ph.D.)--Arizona State University, 2021.
■506 ▼aThis item must not be sold to any third party vendors.
■590 ▼aSchool code: 0010.
■650 4▼aEducation policy.
■650 4▼aEducational tests & measurements.
■650 4▼aEducational evaluation.
■650 4▼aBenchmarks.
■650 4▼aStudents.
■650 4▼aAchievement tests.
■650 4▼aInvestigations.
■650 4▼aLearning.
■650 4▼aClassification.
■653 ▼aBenchmark assessment
■653 ▼aPrecision-recall curve
■653 ▼aProficiency cut score
■653 ▼aRegression discontinuity design
■690 ▼a0458
■690 ▼a0288
■690 ▼a0443
■71020▼aArizona State University▼bEducational Policy and Evaluation.
■7730 ▼tDissertations Abstracts International▼g83-02A.
■773 ▼tDissertation Abstract International
■790 ▼a0010
■791 ▼aPh.D.
■792 ▼a2021
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16053481▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
■980 ▼a202202▼f2022
