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Kenneth A. Frank – Grantee Submission, 2025
Most randomized field experiments experience some attrition. Moreover, the extent of attrition may differ by treatment condition in systematic, non-random ways, biasing estimates of treatment effects and contributing to invalid inferences. We address concerns about non-random attrition by quantifying the conditions necessary in the attritted data…
Descriptors: Attrition (Research Studies), Randomized Controlled Trials, Inferences, Correlation
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Daly, Caitlin H.; Maconachie, Ross; Ades, A. E.; Welton, Nicky J. – Research Synthesis Methods, 2022
Randomised controlled trials of cancer treatments typically report progression free survival (PFS) and overall survival (OS) outcomes. Existing methods to synthesise evidence on PFS and OS either rely on the proportional hazards assumption or make parametric assumptions which may not capture the diverse survival curve shapes across studies and…
Descriptors: Nonparametric Statistics, Randomized Controlled Trials, Evidence, Networks
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Pearl, Judea – Sociological Methods & Research, 2017
We address the task of determining, from statistical averages alone, whether a population under study consists of several subpopulations, unknown to the investigator, each responding to a given treatment markedly differently. We show that such determination is feasible in three cases: (1) randomized trials with binary treatments, (2) models where…
Descriptors: Statistical Analysis, Models, Social Science Research, Randomized Controlled Trials
Thoemmes, Felix; Liao, Wang; Jin, Ze – Journal of Educational and Behavioral Statistics, 2017
This article describes the analysis of regression-discontinuity designs (RDDs) using the R packages rdd, rdrobust, and rddtools. We discuss similarities and differences between these packages and provide directions on how to use them effectively. We use real data from the Carolina Abecedarian Project to show how an analysis of an RDD can be…
Descriptors: Regression (Statistics), Research Design, Robustness (Statistics), Computer Software
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Kim, 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
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Chow, Ee Pin; Hassali, Mohamed Azmi; Saleem, Fahad; Aljadhey, Hisham – Health Education Journal, 2016
Objective: Patient education is key to the management of acute and chronic conditions. However, the majority of such educational interventions have been reported from health-care settings. In contrast, this study aims to evaluate whether a home-based intervention can result in better understanding about type 2 diabetes mellitus and can increase…
Descriptors: Patients, Patient Education, Chronic Illness, Intervention
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Bagabas, 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
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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