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) | 1 |
Descriptor
| Construct Validity | 5 |
| Factor Structure | 5 |
| Mathematical Models | 5 |
| Factor Analysis | 4 |
| Goodness of Fit | 3 |
| Age Differences | 2 |
| Correlation | 2 |
| Locus of Control | 2 |
| Multitrait Multimethod… | 2 |
| Psychometrics | 2 |
| Rating Scales | 2 |
| More ▼ | |
Author
| Marsh, Herbert W. | 3 |
| Byrne, Barbara M. | 1 |
| Donders, Jacobus | 1 |
| Hocevar, Dennis | 1 |
| Kim, Dong-il | 1 |
| Richards, Gary E. | 1 |
Publication Type
| Reports - Research | 3 |
| Journal Articles | 2 |
| Reports - Evaluative | 2 |
| Speeches/Meeting Papers | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Rotter Internal External… | 1 |
| Students Evaluation of… | 1 |
What Works Clearinghouse Rating
Donders, Jacobus – Assessment, 2008
The purpose of this study is to determine the latent structure of the California Verbal Learning Test-Second Edition (CVLT-II; Delis, Kramer, Kaplan, & Ober, 2000) at three different age levels, using the standardization sample. Maximum likelihood confirmatory factor analyses are performed to test four competing hypothetical models for fit and…
Descriptors: Attention Span, Verbal Learning, Factor Structure, Factor Analysis
Peer reviewedMarsh, Herbert W.; Richards, Gary E. – Multivariate Behavioral Research, 1987
The factorial structure of the Rotter Internal-External (IE) scale was examined. While there was strong evidence against the unidimensionality of the Rotter scale, the findings suggested that the first-order factors do define a single higher-order construct that may represent the generalized IE construct. (Author/LMO)
Descriptors: Construct Validity, Factor Analysis, Factor Structure, Goodness of Fit
Marsh, Herbert W.; Hocevar, Dennis – 1986
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…
Descriptors: Computer Software, Construct Validity, Correlation, Error of Measurement
Marsh, Herbert W.; Byrne, Barbara M. – 1987
The internal/external (I/E) frame of reference model describes relations among Verbal self-concept (VSC), Math self-concept (MSC), and corresponding achievement scores (VACH, MACH). In support of the model Marsh (1986) found that: (1) VSC and MSC were nearly uncorrelated; (2) the effect of VACH on VSC, and of MACH on MSC, were positive; but (3)…
Descriptors: Academic Achievement, Construct Validity, Correlation, Factor Analysis
Kim, Dong-il – 1995
This study investigated construct validity and factorial invariance of a performance assessment of reading comprehension and writing proficiency through a multitrait-multimethod (MTMM) structure using confirmatory factor analysis. The performance assessment was administered to 1,023 fifth and sixth graders. Interrater reliability was examined for…
Descriptors: Age Differences, Construct Validity, Elementary School Students, Factor Structure

Direct link
