NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20220
Since 20217
Since 2018 (last 5 years)25
Since 2013 (last 10 years)58
Source
Educational and Psychological…58
Audience
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 58 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Levy, Roy; Xia, Yan; Green, Samuel B. – Educational and Psychological Measurement, 2021
A number of psychometricians have suggested that parallel analysis (PA) tends to yield more accurate results in determining the number of factors in comparison with other statistical methods. Nevertheless, all too often PA can suggest an incorrect number of factors, particularly in statistically unfavorable conditions (e.g., small sample sizes and…
Descriptors: Bayesian Statistics, Statistical Analysis, Factor Structure, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Man, Kaiwen; Harring, Jeffrey R. – Educational and Psychological Measurement, 2021
Many approaches have been proposed to jointly analyze item responses and response times to understand behavioral differences between normally and aberrantly behaved test-takers. Biometric information, such as data from eye trackers, can be used to better identify these deviant testing behaviors in addition to more conventional data types. Given…
Descriptors: Cheating, Item Response Theory, Reaction Time, Eye Movements
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Nana; Bolt, Daniel M. – Educational and Psychological Measurement, 2021
This paper presents a mixture item response tree (IRTree) model for extreme response style. Unlike traditional applications of single IRTree models, a mixture approach provides a way of representing the mixture of respondents following different underlying response processes (between individuals), as well as the uncertainty present at the…
Descriptors: Item Response Theory, Response Style (Tests), Models, Test Items
Peer reviewed Peer reviewed
Direct linkDirect link
Thompson, Yutian T.; Song, Hairong; Shi, Dexin; Liu, Zhengkui – Educational and Psychological Measurement, 2021
Conventional approaches for selecting a reference indicator (RI) could lead to misleading results in testing for measurement invariance (MI). Several newer quantitative methods have been available for more rigorous RI selection. However, it is still unknown how well these methods perform in terms of correctly identifying a truly invariant item to…
Descriptors: Measurement, Statistical Analysis, Selection, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Bezirhan, Ummugul; von Davier, Matthias; Grabovsky, Irina – Educational and Psychological Measurement, 2021
This article presents a new approach to the analysis of how students answer tests and how they allocate resources in terms of time on task and revisiting previously answered questions. Previous research has shown that in high-stakes assessments, most test takers do not end the testing session early, but rather spend all of the time they were…
Descriptors: Response Style (Tests), Accuracy, Reaction Time, Ability
Peer reviewed Peer reviewed
Direct linkDirect link
Gilholm, Patricia; Mengersen, Kerrie; Thompson, Helen – Educational and Psychological Measurement, 2021
Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Child Development
Peer reviewed Peer reviewed
Direct linkDirect link
Mangino, Anthony A.; Finch, W. Holmes – Educational and Psychological Measurement, 2021
Oftentimes in many fields of the social and natural sciences, data are obtained within a nested structure (e.g., students within schools). To effectively analyze data with such a structure, multilevel models are frequently employed. The present study utilizes a Monte Carlo simulation to compare several novel multilevel classification algorithms…
Descriptors: Prediction, Hierarchical Linear Modeling, Classification, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Himelfarb, Igor; Marcoulides, Katerina M.; Fang, Guoliang; Shotts, Bruce L. – Educational and Psychological Measurement, 2020
The chiropractic clinical competency examination uses groups of items that are integrated by a common case vignette. The nature of the vignette items violates the assumption of local independence for items nested within a vignette. This study examines via simulation a new algorithmic approach for addressing the local independence violation problem…
Descriptors: Allied Health Occupations Education, Allied Health Personnel, Competence, Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Sideridis, Georgios D.; Tsaousis, Ioannis; Alamri, Abeer A. – Educational and Psychological Measurement, 2020
The main thesis of the present study is to use the Bayesian structural equation modeling (BSEM) methodology of establishing approximate measurement invariance (A-MI) using data from a national examination in Saudi Arabia as an alternative to not meeting strong invariance criteria. Instead, we illustrate how to account for the absence of…
Descriptors: Bayesian Statistics, Structural Equation Models, Foreign Countries, Error of Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Fujimoto, Ken A.; Neugebauer, Sabina R. – Educational and Psychological Measurement, 2020
Although item response theory (IRT) models such as the bifactor, two-tier, and between-item-dimensionality IRT models have been devised to confirm complex dimensional structures in educational and psychological data, they can be challenging to use in practice. The reason is that these models are multidimensional IRT (MIRT) models and thus are…
Descriptors: Bayesian Statistics, Item Response Theory, Sample Size, Factor Structure
Kara, Yusuf; Kamata, Akihito; Potgieter, Cornelis; Nese, Joseph F. T. – Educational and Psychological Measurement, 2020
Oral reading fluency (ORF), used by teachers and school districts across the country to screen and progress monitor at-risk readers, has been documented as a good indicator of reading comprehension and overall reading competence. In traditional ORF administration, students are given one minute to read a grade-level passage, after which the…
Descriptors: Oral Reading, Reading Fluency, Reading Rate, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
Liang, Xinya – Educational and Psychological Measurement, 2020
Bayesian structural equation modeling (BSEM) is a flexible tool for the exploration and estimation of sparse factor loading structures; that is, most cross-loading entries are zero and only a few important cross-loadings are nonzero. The current investigation was focused on the BSEM with small-variance normal distribution priors (BSEM-N) for both…
Descriptors: Factor Structure, Bayesian Statistics, Structural Equation Models, Goodness of Fit
Peer reviewed Peer reviewed
Direct linkDirect link
Huang, Hung-Yu – Educational and Psychological Measurement, 2020
In educational assessments and achievement tests, test developers and administrators commonly assume that test-takers attempt all test items with full effort and leave no blank responses with unplanned missing values. However, aberrant response behavior--such as performance decline, dropping out beyond a certain point, and skipping certain items…
Descriptors: Item Response Theory, Response Style (Tests), Test Items, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Liang, Xinya; Kamata, Akihito; Li, Ji – Educational and Psychological Measurement, 2020
One important issue in Bayesian estimation is the determination of an effective informative prior. In hierarchical Bayes models, the uncertainty of hyperparameters in a prior can be further modeled via their own priors, namely, hyper priors. This study introduces a framework to construct hyper priors for both the mean and the variance…
Descriptors: Bayesian Statistics, Randomized Controlled Trials, Effect Size, Sampling
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, HyeSun; Smith, Weldon Z. – Educational and Psychological Measurement, 2020
Based on the framework of testlet models, the current study suggests the Bayesian random block item response theory (BRB IRT) model to fit forced-choice formats where an item block is composed of three or more items. To account for local dependence among items within a block, the BRB IRT model incorporated a random block effect into the response…
Descriptors: Bayesian Statistics, Item Response Theory, Monte Carlo Methods, Test Format
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4