Michael A Sanchez
Biographic Data
| ID | 8867409 |
|---|---|
| NAME | Michael A Sanchez |
| GIVEN NAMES | Michael A |
| FAMILY NAME | Sanchez |
| SIGNATURE | SÁNCHEZ M A |
| AFFILIATIONS | The University of Texas at San Antonio |
| ORCID | 0000-0001-8621-8569 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
An Evaluation of the Replicable Factor Analytic Solutions Algorithm for Variable Selection
Observed variable and factor selection are critical components of factor analysis, particularly when the optimal subset of observed variables and the number of factors are unknown and results cannot be replicated across studies. The Replicable Factor Analytic Solutions (RFAS) algorithm was developed to assess the replicability of factor structures—both in terms of the number of factors and the variables retained—while identifying the “best” or mo…
A Variable Selection Algorithm for Creating Replicable Factor Structures
Exploratory and confirmatory factor analyses are commonly employed to identify and explore underlying factor structures. Unfortunately, when variable selection is involved, results often fluctuate across studies making it difficult to determine the “best” and most replicable factor structure. This study proposes a new factor analysis variable selection algorithm called the Replicable Factor Analytic Solutions (RFAS) that incorporates sound statis…
No prominent works on this page.
A Variable Selection Algorithm for Creating Replicable Factor Structures
Exploratory and confirmatory factor analyses are commonly employed to identify and explore underlying factor structures. Unfortunately, when variable selection is involved, results often fluctuate across studies making it difficult to determine the “best” and most replicable factor structure. This study proposes a new factor analysis variable selection algorithm called the Replicable Factor Analytic Solutions (RFAS) that incorporates sound statis…
An Evaluation of the Replicable Factor Analytic Solutions Algorithm for Variable Selection
Observed variable and factor selection are critical components of factor analysis, particularly when the optimal subset of observed variables and the number of factors are unknown and results cannot be replicated across studies. The Replicable Factor Analytic Solutions (RFAS) algorithm was developed to assess the replicability of factor structures—both in terms of the number of factors and the variables retained—while identifying the “best” or mo…
Factor (programming language) (2 works) · Feature selection (2 works) · Psychometric Methodologies and Testing (2 works) · Selection (genetic algorithm) (2 works) · Variable (mathematics) (2 works) · Advanced Multi-Objective Optimization Algorithms (1 work) · Advanced Statistical Modeling Techniques (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)