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Karyssa A. Courey; Frederick L. Oswald; Steven A. Culpepper – Practical Assessment, Research & Evaluation, 2024
Historically, organizational researchers have fully embraced frequentist statistics and null hypothesis significance testing (NHST). Bayesian statistics is an underused alternative paradigm offering numerous benefits for organizational researchers and practitioners: e.g., accumulating direct evidence for the null hypothesis (vs. 'fail to reject…
Descriptors: Bayesian Statistics, Statistical Distributions, Researchers, Institutional Research
Ersen, Rabia Karatoprak; Lee, Won-Chan – Journal of Educational Measurement, 2023
The purpose of this study was to compare calibration and linking methods for placing pretest item parameter estimates on the item pool scale in a 1-3 computerized multistage adaptive testing design in terms of item parameter recovery. Two models were used: embedded-section, in which pretest items were administered within a separate module, and…
Descriptors: Pretesting, Test Items, Computer Assisted Testing, Adaptive Testing
Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory
Kang, Hyeon-Ah; Zhang, Susu; Chang, Hua-Hua – Journal of Educational Measurement, 2017
The development of cognitive diagnostic-computerized adaptive testing (CD-CAT) has provided a new perspective for gaining information about examinees' mastery on a set of cognitive attributes. This study proposes a new item selection method within the framework of dual-objective CD-CAT that simultaneously addresses examinees' attribute mastery…
Descriptors: Computer Assisted Testing, Adaptive Testing, Cognitive Tests, Test Items

van Krimpen-Stoop, Edith M. L. A.; Meijer, Rob R. – Applied Psychological Measurement, 2002
Compared the nominal and empirical null distributions of the standardized log-likelihood statistic for polytomous items for paper-and-pencil (P&P) and computerized adaptive tests (CATs). Results show that the empirical distribution of the statistic differed from the assumed standard normal distribution for both P&P tests and CATs. Also…
Descriptors: Adaptive Testing, Computer Assisted Testing, Item Response Theory, Statistical Distributions

Hankins, Janette A. – Educational and Psychological Measurement, 1990
The effects of a fixed and variable entry procedure on bias and information of a Bayesian adaptive test were compared. Neither procedure produced biased ability estimates on the average. Bias at the distribution extremes, efficiency curves, item subsets generated for administration, and items required to reach termination are discussed. (TJH)
Descriptors: Adaptive Testing, Aptitude Tests, Bayesian Statistics, Comparative Analysis
Cornell, Dewey G.; Krosnick, Jon A.; Chang, LinChiat – Educational Policy, 2006
How do students react to being told that they have failed a test required for high school graduation? In 2000, 7,989 students were wrongly informed that they had failed the Minnesota Basic Standards Test in mathematics. The authors conducted a survey of 911 of these students to assess the psychosocial impact of this event. More than 80% of…
Descriptors: Student Reaction, High Stakes Tests, Failure, Mathematics Tests
Rizavi, Saba; Hariharan, Swaminathan – Online Submission, 2001
The advantages that computer adaptive testing offers over linear tests have been well documented. The Computer Adaptive Test (CAT) design is more efficient than the Linear test design as fewer items are needed to estimate an examinee's proficiency to a desired level of precision. In the ideal situation, a CAT will result in examinees answering…
Descriptors: Guessing (Tests), Test Construction, Test Length, Computer Assisted Testing
Switzer, Deborah M.; Connell, Michael L. – 1989
This paper describes teacher usage of the microcomputer programs Test Analysis Package (TAP) and Student Problem Package (SPP) to analyze students' test item responses. These methods of organizing, analyzing, and reporting test results have proven useful to classroom teachers. The TAP consists of four integrated microcomputer programs to edit,…
Descriptors: Academic Achievement, Computer Assisted Testing, Computer Managed Instruction, Computer Software

Cohen, Allan S.; And Others – Journal of Educational Measurement, 1991
Detecting differential item functioning (DIF) on test items constructed to favor 1 group over another was investigated on parameter estimates from 2 item response theory-based computer programs--BILOG and LOGIST--using data for 1,000 White and 1,000 Black college students. Use of prior distributions and marginal-maximum a posteriori estimation is…
Descriptors: Black Students, College Students, Computer Assisted Testing, Equations (Mathematics)