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Pearl, Judea – Cognitive Science, 2013
Recent advances in causal reasoning have given rise to a computational model that emulates the process by which humans generate, evaluate, and distinguish counterfactual sentences. Contrasted with the "possible worlds" account of counterfactuals, this "structural" model enjoys the advantages of representational economy,…
Descriptors: Causal Models, Cognitive Science, Sentences, Inferences
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Ghosh, Rajashi; Jacobson, Seth – European Journal of Training and Development, 2016
Purpose: The purpose of this paper is to conduct a critical review of the mediation studies published in the field of Human Resource Development (HRD) to discern if the study designs, the nature of data collection and the choice of statistical methods justify the causal claims made in those studies. Design/methodology/approach: This paper conducts…
Descriptors: Attribution Theory, Human Resources, Labor Force Development, Standards
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Martin, Andrew J. – Educational Psychology Review, 2011
Longitudinal structural equation modeling (SEM) can be a basis for making prescriptive statements on educational practice and offers yields over "traditional" statistical techniques under the general linear model. The extent to which prescriptive statements can be made will rely on the appropriate accommodation of key elements of research design,…
Descriptors: Research Design, Structural Equation Models, Educational Practices, Inferences
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Wu, Amery D.; Zumbo, Bruno D. – Social Indicators Research, 2008
Mediation and moderation are two theories for refining and understanding a causal relationship. Empirical investigation of mediators and moderators requires an integrated research design rather than the data analyses driven approach often seen in the literature. This paper described the conceptual foundation, research design, data analysis, as…
Descriptors: Research Design, Investigations, Structural Equation Models, Data Analysis