Publication Date
| In 2025 | 2 |
| Since 2024 | 2 |
Descriptor
| Factor Analysis | 2 |
| Factor Structure | 2 |
| Research Methodology | 2 |
| Accuracy | 1 |
| Beliefs | 1 |
| Comparative Analysis | 1 |
| Evaluation Methods | 1 |
| Intention | 1 |
| Learning Readiness | 1 |
| Monte Carlo Methods | 1 |
| Multivariate Analysis | 1 |
| More ▼ | |
Author
| Aitana González-Ortiz de… | 1 |
| Anja Garone | 1 |
| Carla Quesada-Pallarès | 1 |
| Helena Roig-Ester | 1 |
| Lingbo Tong | 1 |
| Paulina E. Robalino Guerra | 1 |
| Wen Qu | 1 |
| Zhiyong Zhang | 1 |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkLingbo 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
Aitana González-Ortiz de Zárate; Helena Roig-Ester; Paulina E. Robalino Guerra; Anja Garone; Carla Quesada-Pallarès – International Journal of Training and Development, 2025
Transfer beliefs are understudied in the training transfer field, whereas structural equation modelling (SEM) has been a widely used technique to study transfer models. New methodologies are needed to study training transfer and network analysis (NA) has emerged as a new approach that provides a visual representation of a given network. We…
Descriptors: Trainees, Student Attitudes, Beliefs, Transfer of Training
