| Revista: | International journal of psychological research |
| Base de datos: | CLASE |
| Número de sistema: | 000355301 |
| ISSN: | 2011-2084 |
| Autores: | Masaki, Matsunaga1 |
| Instituciones: | 1Rikkyo University, Tokio. Japón |
| Año: | 2010 |
| Periodo: | Ene-Jun |
| Volumen: | 3 |
| Número: | 1 |
| Paginación: | 97-110 |
| País: | Colombia |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico |
| Resumen en inglés | The current article provides a guideline for conducting factor analysis, a technique used to estimate the population-level factor structure underlying the given sample data. First, the distinction between exploratory and confirmatory factor analyses (EFA and CFA) is briefly discussed; along with this discussion, the notion of principal component analysis and why it does not provide a valid substitute of factor analysis is noted. Second, a step-by-step walk-through of conducting factor analysis is illustrated; through these walk-through instructions, various decisions that need to be made in factor analysis are discussed and recommendations provided. Specifically, suggestions for how to carry out preliminary procedures, EFA, and CFA are provided with SPSS and LISREL syntax examples. Finally, some critical issues concerning the appropriate (and not-so-appropriate) use of factor analysis are discussed along with the discussion of recommended practices |
| Disciplinas: | Matemáticas, Ciencias de la computación |
| Palabras clave: | Matemáticas aplicadas, Procesamiento de datos, Statistical Package for the Social Sciences (SPSS) |
| Texto completo: | Texto completo (Ver HTML) |
