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Tyler M. Moore; Katherine C. Lopez; J. Cobb Scott; Jack C. Lennon; Akira Di Sandro; Eirini Zoupou; Alesandra Gorgone; Monica E. Calkins; Daniel H. Wolf; Joseph W. Kable; Kosha Ruparel; Raquel E. Gur; Ruben C. Gur – Journal of Psychoeducational Assessment, 2025
The Penn Computerized Neurocognitive Battery (CNB) is a collection of tests validated using neuroimaging, genetics, and other criteria. An updated version of the CNB was constructed in which all tests were converted to either computerized adaptive (CAT) or abbreviated forms. In a mixed community/clinical sample (N = 307; mean age = 25.9 years;…
Descriptors: Computer Assisted Testing, Cognitive Ability, Genetics, Adaptive Testing
Robin, Frédéric; Bejar, Isaac; Liang, Longjuan; Rijmen, Frank – ETS Research Report Series, 2016
Exploratory and confirmatory factor analyses of domestic data from the" GRE"® revised General Test, introduced in 2011, were conducted separately for the verbal (VBL) and quantitative (QNT) reasoning measures to evaluate the unidimensionality and local independence assumptions required by item response theory (IRT). Results based on data…
Descriptors: College Entrance Examinations, Graduate Study, Verbal Tests, Mathematics Tests
Faraci, Palmira; Hell, Benedikt; Schuler, Heinz – Creativity Research Journal, 2016
This article describes the psychometric properties of the Italian adaptation of the "Analyse des Schlussfolgernden und Kreativen Denkens" (ASK; Test of Inferential and Creative Thinking) for measuring inferential and creative thinking. The study aimed to (a) supply evidence for the factorial structure of the instrument, (b) describe its…
Descriptors: Creative Thinking, Psychometrics, Adaptive Testing, Measures (Individuals)
Coster, Wendy J.; Kramer, Jessica M.; Tian, Feng; Dooley, Meghan; Liljenquist, Kendra; Kao, Ying-Chia; Ni, Pengsheng – Autism: The International Journal of Research and Practice, 2016
The Pediatric Evaluation of Disability Inventory-Computer Adaptive Test is an alternative method for describing the adaptive function of children and youth with disabilities using a computer-administered assessment. This study evaluated the performance of the Pediatric Evaluation of Disability Inventory-Computer Adaptive Test with a national…
Descriptors: Autism, Pervasive Developmental Disorders, Computer Assisted Testing, Adaptive Testing
Han, Kyung T.; Guo, Fanmin – Practical Assessment, Research & Evaluation, 2014
The full-information maximum likelihood (FIML) method makes it possible to estimate and analyze structural equation models (SEM) even when data are partially missing, enabling incomplete data to contribute to model estimation. The cornerstone of FIML is the missing-at-random (MAR) assumption. In (unidimensional) computerized adaptive testing…
Descriptors: Maximum Likelihood Statistics, Structural Equation Models, Data, Computer Assisted Testing
Seo, Dong Gi; Weiss, David J. – Educational and Psychological Measurement, 2015
Most computerized adaptive tests (CATs) have been studied using the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CATs. This study investigated the accuracy, fidelity, and efficiency of a fully multidimensional CAT algorithm…
Descriptors: Computer Assisted Testing, Adaptive Testing, Accuracy, Fidelity
Anderson, Daniel; Farley, Dan; Tindal, Gerald – Journal of Special Education, 2015
Students with significant cognitive disabilities present an assessment dilemma that centers on access and validity in large-scale testing programs. Typically, access is improved by eliminating construct-irrelevant barriers, while validity is improved, in part, through test standardization. In this article, one state's alternate assessment data…
Descriptors: Mental Retardation, Evaluation Methods, Student Evaluation, Standardized Tests
Wang, Shudong; McCall, Marty; Jiao, Hong; Harris, Gregg – Online Submission, 2012
The purposes of this study are twofold. First, to investigate the construct or factorial structure of a set of Reading and Mathematics computerized adaptive tests (CAT), "Measures of Academic Progress" (MAP), given in different states at different grades and academic terms. The second purpose is to investigate the invariance of test…
Descriptors: Construct Validity, Factor Structure, Adaptive Testing, Computer Assisted Testing
Lane, Suzanne; Leventhal, Brian – Review of Research in Education, 2015
This chapter addresses the psychometric challenges in assessing English language learners (ELLs) and students with disabilities (SWDs). The first section addresses some general considerations in the assessment of ELLs and SWDs, including the prevalence of ELLs and SWDs in the student population, federal and state legislation that requires the…
Descriptors: Psychometrics, Evaluation Problems, English Language Learners, Disabilities
Turner, Brandon M.; Betz, Nancy E.; Edwards, Michael C.; Borgen, Fred H. – Measurement and Evaluation in Counseling and Development, 2010
The psychometric properties of measures of self-efficacy for the six themes of Holland's theory were examined using item response theory. Item and scale quality were compared across levels of the trait continuum; all the scales were highly reliable but differentiated better at some levels of the continuum than others. Applications for adaptive…
Descriptors: Self Efficacy, Adaptive Testing, Psychometrics, Item Response Theory
Seo, Dong Gi – ProQuest LLC, 2011
Most computerized adaptive tests (CAT) have been studied under the framework of unidimensional item response theory. However, many psychological variables are multidimensional and might benefit from using a multidimensional approach to CAT. In addition, a number of psychological variables (e.g., quality of life, depression) can be conceptualized…
Descriptors: Test Length, Quality of Life, Item Analysis, Geometric Concepts
Haley, Stephen M.; Coster, Wendy J.; Dumas, Helene M.; Fragala-Pinkham, Maria A.; Kramer, Jessica; Ni, Pengsheng; Tian, Feng; Kao, Ying-Chia; Moed, Rich; Ludlow, Larry H. – Developmental Medicine & Child Neurology, 2011
Aim: The aims of the study were to: (1) build new item banks for a revised version of the Pediatric Evaluation of Disability Inventory (PEDI) with four content domains: daily activities, mobility, social/cognitive, and responsibility; and (2) use post-hoc simulations based on the combined normative and disability calibration samples to assess the…
Descriptors: Item Banks, Adaptive Testing, Parents, Correlation
Samejima, Fumiko – 1981
In defense of retaining the "latent trait theory" term, instead of replacing it with "item response theory" as some recent research would have it, the following objectives are outlined: (1) investigation of theory and method for estimating the operating characteristics of discrete item responses using a minimum number of…
Descriptors: Adaptive Testing, Computer Assisted Testing, Factor Analysis, Latent Trait Theory
Peer reviewedHenly, Susan J.; And Others – Applied Psychological Measurement, 1989
A group of covariance structure models was examined to ascertain the similarity between conventionally administered and computerized adaptive versions of the Differential Aptitude Test (DAT). Results for 332 students indicate that the computerized version of the DAT is an adequate representation of the conventional test battery. (TJH)
Descriptors: Ability Identification, Adaptive Testing, Comparative Testing, Computer Assisted Testing
Moreno, Kathleen E.; And Others – 1983
The relationship between selected subtests from the Armed Services Vocational Aptitude Battery (ASVAB) and corresponding subtests administered as computerized adaptive tests (CAT) was investigated using a sample of Marine recruits. Results showed that the CAT subtest scores correlated as well with initial ASVAB scores as did ASVAB retest scores,…
Descriptors: Adaptive Testing, Aptitude Tests, Computer Assisted Testing, Correlation
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