NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Does not meet standards1
Showing 1 to 15 of 3,447 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Dexin Shi; Bo Zhang; Ren Liu; Zhehan Jiang – Educational and Psychological Measurement, 2024
Multiple imputation (MI) is one of the recommended techniques for handling missing data in ordinal factor analysis models. However, methods for computing MI-based fit indices under ordinal factor analysis models have yet to be developed. In this short note, we introduced the methods of using the standardized root mean squared residual (SRMR) and…
Descriptors: Goodness of Fit, Factor Analysis, Simulation, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
Schweizer, Karl; Gold, Andreas; Krampen, Dorothea – Educational and Psychological Measurement, 2023
In modeling missing data, the missing data latent variable of the confirmatory factor model accounts for systematic variation associated with missing data so that replacement of what is missing is not required. This study aimed at extending the modeling missing data approach to tetrachoric correlations as input and at exploring the consequences of…
Descriptors: Data, Models, Factor Analysis, Correlation
Peer reviewed Peer reviewed
Direct linkDirect link
Wes Bonifay; Sonja D. Winter; Hanamori F. Skoblow; Ashley L. Watts – Grantee Submission, 2024
Replication provides a confrontation of psychological theory, not only in experimental research, but also in model-based research. Goodness-of-fit (GOF) of the original model to the replication data is routinely provided as meaningful evidence of replication. We demonstrate, however, that GOF obscures important differences between the original and…
Descriptors: Goodness of Fit, Evidence, Replication (Evaluation), Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Ryan M. Cook; Stefanie A. Wind – Measurement and Evaluation in Counseling and Development, 2024
The purpose of this article is to discuss reliability and precision through the lens of a modern measurement approach, item response theory (IRT). Reliability evidence in the field of counseling is primarily generated using Classical Test Theory (CTT) approaches, although recent studies in the field of counseling have shown the benefits of using…
Descriptors: Item Response Theory, Measurement, Reliability, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
Gorney, Kylie; Wollack, James A. – Journal of Educational Measurement, 2023
In order to detect a wide range of aberrant behaviors, it can be useful to incorporate information beyond the dichotomous item scores. In this paper, we extend the l[subscript z] and l*[subscript z] person-fit statistics so that unusual behavior in item scores and unusual behavior in item distractors can be used as indicators of aberrance. Through…
Descriptors: Test Items, Scores, Goodness of Fit, Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Nayoung; Oh, JungSu – Measurement and Evaluation in Counseling and Development, 2023
We investigated the effect of careless or insufficient effort (C/IE) responses in a study using Amazon's Mechanical Turk. A factor mixture model was used to identify latent classes based on the pattern of responses with biases and examine the effect of C/IE responses on the fit of the theoretical model.
Descriptors: Counseling, Research, Responses, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Nazari, Sanaz; Leite, Walter L.; Huggins-Manley, A. Corinne – Educational and Psychological Measurement, 2023
Social desirability bias (SDB) has been a major concern in educational and psychological assessments when measuring latent variables because it has the potential to introduce measurement error and bias in assessments. Person-fit indices can detect bias in the form of misfitted response vectors. The objective of this study was to compare the…
Descriptors: Social Desirability, Bias, Indexes, Goodness of Fit
Peer reviewed Peer reviewed
Direct linkDirect link
Dubravka Svetina Valdivia; Shenghai Dai – Journal of Experimental Education, 2024
Applications of polytomous IRT models in applied fields (e.g., health, education, psychology) are abound. However, little is known about the impact of the number of categories and sample size requirements for precise parameter recovery. In a simulation study, we investigated the impact of the number of response categories and required sample size…
Descriptors: Item Response Theory, Sample Size, Models, Classification
Jiangqiong Li – ProQuest LLC, 2024
When measuring latent constructs, for example, language ability, we use statistical models to specify appropriate relationships between the latent construct and observe responses to test items. These models rely on theoretical assumptions to ensure accurate parameter estimates for valid inferences based on the test results. This dissertation…
Descriptors: Goodness of Fit, Item Response Theory, Models, Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
David Goretzko; Karik Siemund; Philipp Sterner – Educational and Psychological Measurement, 2024
Confirmatory factor analyses (CFA) are often used in psychological research when developing measurement models for psychological constructs. Evaluating CFA model fit can be quite challenging, as tests for exact model fit may focus on negligible deviances, while fit indices cannot be interpreted absolutely without specifying thresholds or cutoffs.…
Descriptors: Factor Analysis, Goodness of Fit, Psychological Studies, Measurement
Peer reviewed Peer reviewed
Direct linkDirect link
Baumgartner, Michael; Ambühl, Mathias – Sociological Methods & Research, 2023
Consistency and coverage are two core parameters of model fit used by configurational comparative methods (CCMs) of causal inference. Among causal models that perform equally well in other respects (e.g., robustness or compliance with background theories), those with higher consistency and coverage are typically considered preferable. Finding the…
Descriptors: Causal Models, Evaluation Methods, Goodness of Fit, Scores
Peer reviewed Peer reviewed
Direct linkDirect link
Dobbins, Ian G. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
The recognition memory receiver operating characteristic (ROC) is typically asymmetric with a characteristic elevation of the left-hand portion. Whereas the unequal variance signal detection model (uvsd) assumes the asymmetry results because old item evidence is noisier than new item evidence, the dual process signal detection model (dpsd) assumes…
Descriptors: Acoustics, Recognition (Psychology), Memory, Task Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
James Ohisei Uanhoro – Educational and Psychological Measurement, 2024
Accounting for model misspecification in Bayesian structural equation models is an active area of research. We present a uniquely Bayesian approach to misspecification that models the degree of misspecification as a parameter--a parameter akin to the correlation root mean squared residual. The misspecification parameter can be interpreted on its…
Descriptors: Bayesian Statistics, Structural Equation Models, Simulation, Statistical Inference
Peer reviewed Peer reviewed
Direct linkDirect link
Stephanie M. Bell; R. Philip Chalmers; David B. Flora – Educational and Psychological Measurement, 2024
Coefficient omega indices are model-based composite reliability estimates that have become increasingly popular. A coefficient omega index estimates how reliably an observed composite score measures a target construct as represented by a factor in a factor-analysis model; as such, the accuracy of omega estimates is likely to depend on correct…
Descriptors: Influences, Models, Measurement Techniques, Reliability
Peer reviewed Peer reviewed
Direct linkDirect link
Ting Dai; Yang Du; Jennifer Cromley; Tia Fechter; Frank Nelson – Journal of Experimental Education, 2024
Simple matrix sampling planned missing (SMS PD) design, introduce missing data patterns that lead to covariances between variables that are not jointly observed, and create difficulties for analyses other than mean and variance estimations. Based on prior research, we adopted a new multigroup confirmatory factor analysis (CFA) approach to handle…
Descriptors: Research Problems, Research Design, Data, Matrices
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  230