Time Series Analysis, Forecasting and Control
Time Series Analysis, Forecasting and Control
Regression Analysis for Categorical Moderators
Regression Analysis for Categorical Moderators
Understanding change in complex socio-technical systems
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
General systems performance theory and its application to understanding complex system performance
Information-Knowledge-Systems Management - Complex Socio-Technical Systems --Understanding and Influencing Causality of Change
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This article shows how recent advances in statistical analytical strategies could be applied to correlational or observational data collected from non-experimental designs in order to provide convergent validity for causal inferences regarding "change" in two broad contexts. The first context refers to modeling causal relationships between constructs, specifically on relationships that go beyond the "bivariate prediction paradigm". In this context, mediation analyses, interaction analyses, combination of interactions and mediations, and structural equation modeling were discussed. The second context refers to modeling the causes of changes over time. In this context, fundamental questions on changes over time were explicated, limitations of traditional techniques for analyzing changes over time were illustrated, and latent variable approaches to modeling changes over time were discussed.