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Dai, Shenghai; Svetina, Dubravka; Wang, Xiaolin – Journal of Educational and Behavioral Statistics, 2017
There is an increasing interest in reporting test subscores for diagnostic purposes. In this article, we review nine popular R packages (subscore, mirt, TAM, sirt, CDM, NPCD, lavaan, sem, and OpenMX) that are capable of implementing subscore-reporting methods within one or more frameworks including classical test theory, multidimensional item…
Descriptors: Diagnostic Tests, Scores, Computer Software, Item Response Theory
Leung, Chi Hung – Asia Pacific Education Review, 2017
Depression, anxiety, and stress of moderate to severe levels were found in 21, 41, and 27% of university students in Hong Kong, respectively. The development of a screening tool for assessing adjustment difficulties among tertiary education students is helpful for counseling professionals in university. The Student Perception of University Support…
Descriptors: Student Adjustment, Mental Health, Depression (Psychology), Anxiety
Lesnov, Roman Olegovich – International Journal of Computer-Assisted Language Learning and Teaching, 2018
This article compares second language test-takers' performance on an academic listening test in an audio-only mode versus an audio-video mode. A new method of classifying video-based visuals was developed and piloted, which used L2 expert opinions to place the video on a continuum from being content-deficient (not helpful for answering…
Descriptors: Second Language Learning, Second Language Instruction, Video Technology, Classification
Van der Elst, Wim; Hoogenhout, Esther M.; Dixon, Roger A.; De Groot, Renate H. M.; Jolles, Jelle – Assessment, 2011
The Memory Compensation Questionnaire (MCQ) is a psychometrically sound instrument that assesses the variety and extent to which an individual compensates for actual or perceived memory losses. Until now, only an English version of the MCQ has been psychometrically evaluated. The aim of the present study was to establish a Dutch version of the MCQ…
Descriptors: Test Validity, Factor Structure, Computer Software, Measures (Individuals)
Luecht, Richard M.; Sireci, Stephen G. – College Board, 2011
Over the past four decades, there has been incremental growth in computer-based testing (CBT) as a viable alternative to paper-and-pencil testing. However, the transition to CBT is neither easy nor inexpensive. As Drasgow, Luecht, and Bennett (2006) noted, many design engineering, test development, operations/logistics, and psychometric changes…
Descriptors: College Entrance Examinations, Computer Assisted Testing, Educational Technology, Evaluation Methods
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Lang, W. Steve – Online Submission, 2008
The INTASC Principles, when used as the basis for developing appropriate measurement instruments to assess teacher dispositions, provide a viable approach to the diagnosis and remediation of skill-related affective performance in teacher candidates and also to meeting NCATE requirements for Standard 1. In this symposium, the development and use of…
Descriptors: Computer Software, Teacher Education Programs, Rating Scales, Measurement
Muthen, Bengt O.; Nelson, Ginger – 1992
It has been demonstrated that the individual variation in the level and rate of learning for a cohort of students over time can be estimated by hierarchical linear models. Models of this type can also be estimated using widely available structural modeling software, which provides a flexible framework for model explorations, including the use of…
Descriptors: Cohort Analysis, Computer Software, Elementary Secondary Education, Error of Measurement