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Michael A Sanchez

Biographic Data

ID8867409
NAMEMichael A Sanchez
GIVEN NAMESMichael A
FAMILY NAMESanchez
SIGNATURESÁNCHEZ M A
AFFILIATIONSThe University of Texas at San Antonio
ORCID0000-0001-8621-8569
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2026
H-INDEX0
  • An Evaluation of the Replicable Factor Analytic Solutions Algorithm for Variable Selection

    Open Access•Daniel A Sass, Michael A Sanchez•ARTICLE•Educational and Psychological…•2026

    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

    Daniel A Sass, Michael A Sanchez•ARTICLE•Multivariate Behavioral Research•2023

    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

    Daniel A Sass, Michael A Sanchez•ARTICLE•Multivariate Behavioral Research•2023

    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

    Open Access•Daniel A Sass, Michael A Sanchez•ARTICLE•Educational and Psychological…•2026

    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)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae