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Bryan Keller; Zach Branson – Asia Pacific Education Review, 2024
Causal inference involves determining whether a treatment (e.g., an education program) causes a change in outcomes (e.g., academic achievement). It is well-known that causal effects are more challenging to estimate than associations. Over the past 50 years, the potential outcomes framework has become one of the most widely used approaches for…
Descriptors: Causal Models, Educational Research, Regression (Statistics), Probability
Yu, Chong Ho – 2002
This paper asserts that causality is an intriguing but controversial topic in philosophy, statistics, and educational and psychological research. By supporting the Causal Markov Condition and the faithfulness condition, Clark Glymour attempted to draw causal inferences from structural equation modeling. According to Glymour, in order to make…
Descriptors: Causal Models, Markov Processes, Probability, Statistical Inference

Upchurch, Dawn M.; And Others – American Sociological Review, 1993
Replies to "Adolescent Mothers Drop Out" (Douglas K. Anderson, 1993). It is indeed true that women who begin childbearing as adolescents achieve less schooling than do women who postpone or forego childbearing, but debate about why continues. It is argued that the apparent impact of early childbearing on education may result from a common set of…
Descriptors: Adolescents, Birth, Causal Models, Disadvantaged Youth