Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 7 |
Descriptor
Intervals | 7 |
Reliability | 5 |
Structural Equation Models | 5 |
Scores | 3 |
Computation | 2 |
Error of Measurement | 2 |
Hypothesis Testing | 2 |
Measurement Techniques | 2 |
Measures (Individuals) | 2 |
Models | 2 |
Biomedicine | 1 |
More ▼ |
Source
Structural Equation Modeling:… | 7 |
Author
Raykov, Tenko | 7 |
Mels, Gerhard | 2 |
Asparouhov, Tihomir | 1 |
Dimitrov, Dimiter M. | 1 |
Marcoulides, George A. | 1 |
Penev, Spiridon | 1 |
Publication Type
Journal Articles | 7 |
Reports - Descriptive | 6 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Raykov, Tenko; Marcoulides, George A. – Structural Equation Modeling: A Multidisciplinary Journal, 2013
A latent variable modeling approach is outlined that can be used for meta-analysis of reliability coefficients of multicomponent measuring instruments. Important limitations of efforts to combine composite reliability findings across multiple studies are initially pointed out. A reliability synthesis procedure is discussed that is based on…
Descriptors: Meta Analysis, Reliability, Structural Equation Models, Error of Measurement
Raykov, Tenko; Dimitrov, Dimiter M.; Asparouhov, Tihomir – Structural Equation Modeling: A Multidisciplinary Journal, 2010
A method for interval estimation of scale reliability with discrete data is outlined. The approach is applicable with multi-item instruments consisting of binary measures, and is developed within the latent variable modeling methodology. The procedure is useful for evaluation of consistency of single measures and of sum scores from item sets…
Descriptors: Reliability, Computation, Models, Intervals
Raykov, Tenko; Penev, Spiridon – Structural Equation Modeling: A Multidisciplinary Journal, 2010
A latent variable analysis procedure for evaluation of reliability coefficients for 2-level models is outlined. The method provides point and interval estimates of group means' reliability, overall reliability of means, and conditional reliability. In addition, the approach can be used to test simple hypotheses about these parameters. The…
Descriptors: Reliability, Evaluation, Models, Intervals
Raykov, Tenko – Structural Equation Modeling: A Multidisciplinary Journal, 2009
A didactic discussion of a procedure for interval estimation of change in scale reliability due to revision is provided, which is developed within the framework of covariance structure modeling. The method yields ranges of plausible values for the population gain or loss in reliability of unidimensional composites, which results from deletion or…
Descriptors: Intervals, Computation, Reliability, Change
Raykov, Tenko; Mels, Gerhard – Structural Equation Modeling: A Multidisciplinary Journal, 2009
A readily implemented procedure is discussed for interval estimation of indexes of interrelationship between items from multiple-component measuring instruments as well as between items and total composite scores. The method is applicable with categorical (ordinal) observed variables, and can be widely used in the process of scale construction,…
Descriptors: Intervals, Structural Equation Models, Biomedicine, Correlation
Raykov, Tenko; Mels, Gerhard – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This article presents a didactic discussion of a multilevel covariance structure modeling approach to estimation of lowest level mediation effect indexes in two-level studies. The procedure is useful when addressing questions about relations among total and indirect effects between variables of interest while accounting for the hierarchical…
Descriptors: Intervals, Structural Equation Models, Syntax, Mediation Theory
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