자료유형  

 학위논문

Control Number  

0017162424

International Standard Book Number  

9798383703953

Dewey Decimal Classification Number  

151

Main Entry-Personal Name  

Tai, Ming Him.

Publication, Distribution, etc. (Imprint  

[S.l.] : University of Minnesota., 2024

Publication, Distribution, etc. (Imprint  

Ann Arbor : ProQuest Dissertations & Theses, 2024

Physical Description  

169 p.

General Note  

Source: Dissertations Abstracts International, Volume: 86-02, Section: B.

General Note  

Advisor: Weiss, David J.

Dissertation Note  

Thesis (Ph.D.)--University of Minnesota, 2024.

Summary, Etc.  

요약Stochastic curtailment (SC) is a statistical procedure that was originally developed to enhance the efficiency of clinical trials. It has been applied to psychological testing, but to sequential mastery testing only (Finkelman, 2008, 2010). This study adapted the method to detect low-precision examinees (i.e., examinees whose final standard error of measurement (FSEM) at the end of a full-length test could not reach the pre-specified SEM termination level) in measurement computerized adaptive tests (CATs). Using central limit approximations, the study developed a method to estimate the distribution of test information at maximum test length and the corresponding FSEM. The study also developed a hypothesis testing procedure to implement SC. Using monte-carlo simulations, the study found that (1) the FSEM estimation procedure performed well in the middle range of \uD835\uDF03 values but less so at extreme \uD835\uDF03 values; (2) the SC procedure had good predictive accuracy, with excellent performance on positive predictive values and good performance on true positive rates and false positive rates; (3) the reduction in test length was substantial. Overall, the study showed that SC is a promising procedure to identify low-precision examinees and enhance efficiency in measurement CATs. A guide on implementing SC is provided.

Subject Added Entry-Topical Term  

Quantitative psychology.

Subject Added Entry-Topical Term  

Computer science.

Subject Added Entry-Topical Term  

Biostatistics.

Subject Added Entry-Topical Term  

Bioinformatics.

Subject Added Entry-Topical Term  

Clinical psychology.

Index Term-Uncontrolled  

Computerized adaptive testing

Index Term-Uncontrolled  

Stochastic curtailment

Index Term-Uncontrolled  

Psychological testing

Index Term-Uncontrolled  

FSEM

Index Term-Uncontrolled  

Positive predictive values

Added Entry-Corporate Name  

University of Minnesota Psychology

Host Item Entry  

Dissertations Abstracts International. 86-02B.

Electronic Location and Access  

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Control Number  

joongbu:658453