Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 4 |
Descriptor
| Factor Analysis | 15 |
| Mathematical Models | 15 |
| Reliability | 15 |
| Statistical Analysis | 5 |
| Correlation | 4 |
| Factor Structure | 4 |
| Goodness of Fit | 4 |
| Validity | 4 |
| Estimation (Mathematics) | 3 |
| Matrices | 3 |
| Academic Achievement | 2 |
| More ▼ | |
Source
| Psychometrika | 3 |
| Assessment for Effective… | 1 |
| EURASIA Journal of… | 1 |
| Educational and Psychological… | 1 |
| Journal of Educational… | 1 |
| Multivariate Behavioral… | 1 |
Author
| Tucker, Ledyard R. | 2 |
| Darch, Craig | 1 |
| Davis, Richard W. | 1 |
| Dowson, Martin | 1 |
| Eaves, Ronald C. | 1 |
| Fall, Anna-Maria | 1 |
| Hidayat, Riyan | 1 |
| Idris, Wan Izani Wan | 1 |
| Larsson, Bernt | 1 |
| Lewis, Charles | 1 |
| Liu, Yan | 1 |
| More ▼ | |
Publication Type
| Reports - Research | 10 |
| Journal Articles | 7 |
| Reports - Evaluative | 4 |
| Speeches/Meeting Papers | 3 |
| Tests/Questionnaires | 1 |
Education Level
| Elementary Secondary Education | 2 |
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Hidayat, Riyan; Idris, Wan Izani Wan; Qudratuddarsi, Hilman; Rahman, Muhamad Nazri Abdul – EURASIA Journal of Mathematics, Science and Technology Education, 2021
This work sets out to examine the validity and reliability of the Mathematical Modeling Attitude Scale (MMAS), a instrument measuring teachers' attitude towards mathematical modeling. A cross-sectional survey research was utilised to describe the validity and reliability of the MMAS. The population of the present study focused on Malaysian…
Descriptors: Factor Analysis, Student Motivation, Student Interests, Constructivism (Learning)
Osler, James Edward; Mansaray, Mahmud A. – Journal of Educational Technology, 2013
The online deployment of Technology Engineered online Student Ratings of Instruction (SRIs) by colleges and universities in the United States has dynamically changed the deployment of course evaluation. This research investigation is the fourth part of a post hoc study that analytically and psychometrically examines the design, reliability, and…
Descriptors: Course Evaluation, Educational Technology, Black Colleges, Higher Education
Williams, Thomas O., Jr.; Fall, Anna-Maria; Eaves, Ronald C.; Darch, Craig; Woods-Groves, Suzanne – Assessment for Effective Intervention, 2007
The factor structure of the "KeyMath--Revised Normative Update" (KMR-NU) "Form A" was analyzed using data from a sample of 130 students. The KMR-NU is composed of 13 subtests that are purported to measure three important aspects of math ability: Basic Concepts, Operations, and Applications. A confirmatory factor analysis…
Descriptors: Mathematical Models, Goodness of Fit, Academic Ability, Mathematics
Peer reviewedShapiro, Alexander – Psychometrika, 1982
The extent to which one can reduce the rank of a symmetric matrix by only changing its diagonal entries is discussed. Extension of this work to minimum trace factor analysis is presented. (Author/JKS)
Descriptors: Data Analysis, Factor Analysis, Mathematical Models, Matrices
Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2007
The impact of outliers on Cronbach's coefficient [alpha] has not been documented in the psychometric or statistical literature. This is an important gap because coefficient [alpha] is the most widely used measurement statistic in all of the social, educational, and health sciences. The impact of outliers on coefficient [alpha] is investigated for…
Descriptors: Psychometrics, Computation, Reliability, Monte Carlo Methods
Mare, Robert D.; Mason, William M. – 1978
An important class of applications of measurement error or constrained factor analytic models consists of comparing models for several populations. In such cases, it is appropriate to make explicit statistical tests of model similarity across groups and to constrain some parameters of the models to be equal across groups using a priori substantive…
Descriptors: Factor Analysis, Goodness of Fit, Information Sources, Mathematical Models
Peer reviewedRindskopf, David; Rose, Tedd – Multivariate Behavioral Research, 1988
Confirmatory factor analysis was applied to test second- and higher-order factor models in the areas of structure of abilities, allometry, and the separation of specific and error variance estimates. The estimation of validity and reliability, second-order models within factor analysis models, and the concept of discriminability were also studied.…
Descriptors: Discriminant Analysis, Error of Measurement, Estimation (Mathematics), Factor Analysis
Peer reviewedPham, Tuan Dinh; Mocks, Joachim – Psychometrika, 1992
Sufficient conditions are derived for the consistency and asymptotic normality of the least squares estimator of a trilinear decomposition model for multiway data analysis. The limiting covariance matrix is computed. (Author/SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Factor Analysis, Least Squares Statistics
Tucker, Ledyard R.; And Others – 1970
Three topics in factor analysis are covered: a) a reliability coefficient for assessing the quality of a maximum likelihood factor analysis, b) an application of three-mode factor analysis to serial learning data, showing variations in learning curves over stages of learning and individuals, and c) the use of personal probability functions to…
Descriptors: Correlation, Factor Analysis, Hypothesis Testing, Individual Differences
PDF pending restorationLarsson, Bernt – 1974
This report gives some simple examples of stability for one factor and 2 x 2 factorial analysis of variance, reliability and correlations. The findings are very different: from superstability (no transformation whatsoever can change the result) to almost total instability. This is followed by a discussion of applications to multivariate analysis,…
Descriptors: Analysis of Variance, Correlation, Discriminant Analysis, Factor Analysis
Peer reviewedTucker, Ledyard R.; Lewis, Charles – Psychometrika, 1973
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed for analysis of factor solution. (Author/RK)
Descriptors: Analysis of Variance, Factor Analysis, Goodness of Fit, Item Sampling
Davis, Richard W. – 1977
A method for statistical analysis of semantic differential data in educational evaluation is discussed. Estimated scores for unobserved affective variables are obtained using the canonical factor regression method. This method overcomes previous prolems of bias and inefficiency in computing composite affective indices. In an application of the…
Descriptors: Affective Behavior, Affective Measures, Course Evaluation, Factor Analysis
Dowson, Martin; McInerney, Dennis M. – 1997
This paper outlines the development of a quantitative instrument designed to measure students' multiple achievement goals and key aspects of their cognitive engagement in Australian educational settings. The paper demonstrates the use of congeneric measurement models in assessing and improving the validity of the scales comprising the Goal…
Descriptors: Academic Achievement, Achievement Need, Cognitive Processes, Educational Objectives
Ruck, Hendrick W. – 1978
The generalizability of earlier findings on training objectives for military specialties was studied. Thirteen tasks or jobs, involving mechanical, electrical, general, or administrative aptitude, were rated by senior noncommissioned officers on: recommended field training emphaisi; present school emphasis; consequences of inadequate job…
Descriptors: Curriculum, Educational Policy, Factor Analysis, Job Analysis
Perry, Patricia D. – 1993
Researchers have been limited in their ability to examine multiple constructs simultaneously due to the constraints imposed by traditional statistical methods. The most notable limitations include the need for a relatively large sample size while restricting the variables to a relatively small number. The application of a newly discovered…
Descriptors: Adolescents, Analysis of Covariance, Bayesian Statistics, Correlation

Direct link
