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Direct linkKim, Yongnam; Steiner, Peter – Educational Psychologist, 2016
When randomized experiments are infeasible, quasi-experimental designs can be exploited to evaluate causal treatment effects. The strongest quasi-experimental designs for causal inference are regression discontinuity designs, instrumental variable designs, matching and propensity score designs, and comparative interrupted time series designs. This…
Descriptors: Quasiexperimental Design, Causal Models, Statistical Inference, Randomized Controlled Trials
Download full textBagabas, Hanan Ali – Journal of Education and Practice, 2016
The current study aimed to investigate the effectiveness of computerized instructional packages on concept acquisition and improving academic achievement among deaf students in Saudi Arabia. The sample consisted of (16) third-grade female deaf students in prep stage for the first semester of the academic year 2013/2014, randomly selected from…
Descriptors: Foreign Countries, Computer Uses in Education, Deafness, Females
Barrera-Osorio, Felipe; Filmer, Deon; McIntyre, Joe – Society for Research on Educational Effectiveness, 2014
Randomized controlled trials (RCTs) and regression discontinuity (RD) studies both provide estimates of causal effects. A major difference between the two is that RD only estimates local average treatment effects (LATE) near the cutoff point of the forcing variable. This has been cited as a drawback to RD designs (Cook & Wong, 2008).…
Descriptors: Randomized Controlled Trials, Regression (Statistics), Research Problems, Comparative Analysis
