NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20252
Descriptor
Factor Analysis2
Monte Carlo Methods2
Statistical Analysis2
Accuracy1
Comparative Analysis1
Correlation1
Equations (Mathematics)1
Evaluation Methods1
Factor Structure1
Models1
Research Methodology1
Sample Size1
Tests1
More ▼
Source
Grantee Submission2
Author
Zhiyong Zhang2
Ke-Hai Yuan1
Lingbo Tong1
Wen Qu1
Publication Type
Reports - Research2
Journal Articles1
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 2 results Save | Export
Comparison of the K1 Rule, Parallel Analysis, and the Bass-Ackward Method on Identifying the Number of Factors in Factor Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Lingbo Tong; Wen Qu; Zhiyong Zhang – Grantee Submission, 2025
Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…
Descriptors: Factor Analysis, Monte Carlo Methods, Statistical Analysis, Sample Size
Parameterizing the LISREL Model as a Correlation Structure Model for More Efficient Parameter Estimates and More Powerful Statistical Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Ke-Hai Yuan; Zhiyong Zhang – Grantee Submission, 2025
Most methods for structural equation modeling (SEM) focused on the analysis of covariance matrices. However, "Historically, interesting psychological theories have been phrased in terms of correlation coefficients." This might be because data in social and behavioral sciences typically do not have predefined metrics. While proper methods…
Descriptors: Correlation, Statistical Analysis, Models, Tests