Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Computation | 4 |
| Predictive Validity | 4 |
| Reliability | 4 |
| Structural Equation Models | 4 |
| Statistical Analysis | 3 |
| Validity | 3 |
| Error of Measurement | 2 |
| Evaluation Methods | 2 |
| Intervals | 2 |
| Measures (Individuals) | 2 |
| Scores | 2 |
| More ▼ | |
Author
| Raykov, Tenko | 8 |
| Dimitrov, Dimiter M. | 1 |
| Marcoulides, George A. | 1 |
Publication Type
| Journal Articles | 8 |
| Reports - Descriptive | 8 |
Education Level
Audience
| Researchers | 1 |
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling: A Multidisciplinary Journal, 2012
A latent variable modeling method is outlined, which accomplishes estimation of criterion validity and reliability for a multicomponent measuring instrument with hierarchical structure. The approach provides point and interval estimates for the scale criterion validity and reliability coefficients, and can also be used for testing composite or…
Descriptors: Predictive Validity, Reliability, Structural Equation Models, Measures (Individuals)
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2011
This article is concerned with the question of whether the missing data mechanism routinely referred to as missing completely at random (MCAR) is statistically examinable via a test for lack of distributional differences between groups with observed and missing data, and related consequences. A discussion is initially provided, from a formal logic…
Descriptors: Data Analysis, Statistical Analysis, Probability, Structural Equation Models
Raykov, Tenko – Multivariate Behavioral Research, 2007
A method for point and interval estimation of change in criterion validity of multiple-component measuring instruments as a result of revision is outlined. The procedure is developed within the framework of covariance structure modeling, which complements earlier methods for testing change in composite reliability due to addition or deletion of…
Descriptors: Predictive Validity, Computation, Models, Reliability
Raykov, Tenko – Measurement and Evaluation in Counseling and Development, 2007
A method for estimating criterion validity of scales with homogeneous components is outlined. It accomplishes point and interval estimation of interrelationship indices between composite scores and criterion variables and is useful for testing hypotheses about criterion validity of measurement instruments. The method can also be used with missing…
Descriptors: Measurement Techniques, Predictive Validity, Computation, Evaluation Methods
Evaluation of Weighted Scale Reliability and Criterion Validity: A Latent Variable Modeling Approach
Raykov, Tenko – Measurement and Evaluation in Counseling and Development, 2007
A method is outlined for evaluating the reliability and criterion validity of weighted scales based on sets of unidimensional measures. The approach is developed within the framework of latent variable modeling methodology and is useful for point and interval estimation of these measurement quality coefficients in counseling and education…
Descriptors: Predictive Validity, Computation, Reliability, Item Response Theory
Peer reviewedDimitrov, Dimiter M.; Raykov, Tenko – Multivariate Behavioral Research, 2003
Presents a validation procedure for cognitive structures that is based on structural equation modeling of cognitive subordination relationships among test items. Illustrates the method using scores of 278 ninth graders on an algebra test and shows results for the same test when the linear logistic test model is used. (SLD)
Descriptors: High School Students, High Schools, Scores, Structural Equation Models
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2006
A structural equation modeling based method is outlined that accomplishes interval estimation of individual optimal scores resulting from multiple-component measuring instruments evaluating single underlying latent dimensions. The procedure capitalizes on the linear combination of a prespecified set of measures that is associated with maximal…
Descriptors: Scores, Structural Equation Models, Reliability, Validity
Raykov, Tenko – Multivariate Behavioral Research, 2006
A method for examining invariance in validity of multiple-component instruments in repeated measure designs is outlined. The approach is developed within the framework of covariance structure modeling and is applicable for purposes of ascertaining temporal stability in scale validity. In addition, the procedure provides a range of plausible values…
Descriptors: Longitudinal Studies, Evaluation Methods, Test Validity, Item Analysis

Direct link
