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Zhao, Siyuan; Heffernan, Neil – International Educational Data Mining Society, 2017
Personalized learning considers that the causal effects of a studied learning intervention may differ for the individual student. Making the inference about causal effects of studies interventions is a central problem. In this paper we propose the Residual Counterfactual Networks (RCN) for answering counterfactual inference questions, such as…
Descriptors: Computation, Outcomes of Treatment, Networks, Randomized Controlled Trials
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Wong, Daniel F. K.; Kwok, Sylvia Y. C. L.; Low, Yiu Tsang; Man, Ka Wai; Ip, Priscilla S. Y. – Research on Social Work Practice, 2018
Objectives: The aims of this study were to examine the effects of group cognitive-behavior therapy (CBT) on improving anxiety symptoms and enhancing personal growth among adolescents at risk of developing anxiety disorders in school settings in Hong Kong. Method: A total of 26 participants received an eight-session CBT group and 20 received…
Descriptors: Cognitive Restructuring, Behavior Modification, Symptoms (Individual Disorders), Anxiety
Schumacker, Randall E. – 1992
The regression-discontinuity approach to evaluating educational programs is reviewed, and regression-discontinuity post-program mean differences under various conditions are discussed. The regression-discontinuity design is used to determine whether post-program differences exist between an experimental program and a control group. The difference…
Descriptors: Comparative Analysis, Computer Simulation, Control Groups, Cutting Scores