Multivariate Analysis in OWP

The content of this module is dedicated to the learning of knowledge and skills of methodologies that assist intervention in different areas of Organisational, Work and Human Resources Psychology. Principally, this content is dedicated to the learning of statistical procedures usually used for intervention: qualitative data analysis, multiple linear regression, hierarchical linear analysis, multivariate analysis, structural models, time series ...

Content

  • Introduction to research in OWP. Design, data collection, writing research reports and feedback.
  • Introduction to multiple variant OWP analysis: concept, types of methods, general linear model, methods used in OWP-HR
  • Exploratory Factor Analysis (EFA). Model and assumptions. Extraction of factors. Rotation. Factor loadings. Application using SPSS.
  • Confirmatory factor analysis (CFA). Model and assumptions. Specification. Identification. Estimation. Goodness of fit analysis. Application by LISREL.
  • Multiple regression analysis. Model and assumptions. Specification. Estimate. Analysis of the goodness of fit. Interpretation of results. Hierarchical regression. Interactions. Nonlinear models. Application using SPSS.
  • Structural equation models. Regression Analysis and path-analysis. Models with observed variables and latent variables models. Representation of the model. Specification. Identification. Estimate. Application using LISREL.