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Hilley, Chanler D.; O'Rourke, Holly P. – International Journal of Behavioral Development, 2022
Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent…
Descriptors: Behavioral Science Research, Research Methodology, Longitudinal Studies, Behavior Change
Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
White, Peter A. – Psychological Review, 2009
Impressions of force are commonplace in the visual perception of objects interacting. It is proposed that these impressions have their source in haptically mediated experiences of exertion of force in actions on objects. Visual impressions of force in interactions between objects occur by a kind of generalization of the proprioceptive impression…
Descriptors: Causal Models, Visual Perception, Cognitive Psychology, Visual Stimuli

Munsterburg, Hugo – Psychological Review, 1994
This essay considers the discipline of psychology as distinct from history, defining it as a science within philosophy dedicated to the study of the causal structure of the human mind. Although Hugo Munsterburg was considered an important figure in applied psychology, this essay represents an earlier epistemology. (SLD)
Descriptors: Behavioral Science Research, Causal Models, Cognitive Psychology, Epistemology
Thompson, Bruce – 1994
The present paper suggests that multivariate methods ought to be used more frequently in behavioral research and explores the potential consequences of failing to use multivariate methods when these methods are appropriate. The paper explores in detail two reasons why multivariate methods are usually vital. The first is that they limit the…
Descriptors: Analysis of Covariance, Behavioral Science Research, Causal Models, Correlation