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Experimental And Quasi Experimental Designs For Research
TLDR
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P-Curve: A Key to the File Drawer
TL;DR: The authors introduced the p-curve as a way to answer the question, "Are these effects true, or do they merely reflect selective reporting?" The p-Curve is defined as the distribution of statistically significant p-values for a set of studies.
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Inferring causal impact using Bayesian structural time-series models
TL;DR: This paper proposes to infer causal impact on the basis of a diusion-regressi on state-space model that predicts the counterfactual market response that would have occurred had no intervention taken place.
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Understanding and Misunderstanding Randomized Controlled Trials
TL;DR: RCTs are valuable tools whose use is spreading in economics and in other social sciences as mentioned in this paper. But some of the enthusiasm for RCTs appears to be based on misunderstandings: that randomization provides a fair test by equalizing everything but the treatment and so allows a precise estimate of the treatment alone.
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The Effects of Hot Spots Policing on Crime: An Updated Systematic Review and Meta-Analysis
Anthony A. Braga,Anthony A. Braga,Andrew V. Papachristos,Andrew V. Papachristos,David M. Hureau +4 more
TL;DR: In this article, the effects of hot spots policing and crime were investigated and Meta-analyses were used to determine the size, direction, and statistical significance of the overall impact of hot-spaces policing strategies on crime.
Interaction, Internet Self-Efficacy, and Self-Regulated Learning as Predictors of Student Satisfaction in Distance Education Courses.
TL;DR: It is suggested that improvements in learner–content interaction yield most promise in enhancing student satisfaction and that learner-learner interaction may be negligible in online course settings.
References
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Journal ArticleDOI
P-curve: a key to the file-drawer.
TL;DR: By telling us whether the authors can rule out selective reporting as the sole explanation for a set of findings, p-curve offers a solution to the age-old inferential problems caused by file-drawers of failed studies and analyses.
Journal ArticleDOI
Understanding and misunderstanding randomized controlled trials.
TL;DR: Randomized Controlled Trials (RCTs) are increasingly popular in the social sciences, not only in medicine as discussed by the authors, and they can play a role in building scientific knowledge and useful predictions but they can only do so as part of a cumulative program, combining with other methods, including conceptual and theoretical development, to discover not 'what works', but 'why things work'.
Journal ArticleDOI
The Effects of Hot Spots Policing on Crime: An Updated Systematic Review and Meta-Analysis
Anthony A. Braga,Anthony A. Braga,Andrew V. Papachristos,Andrew V. Papachristos,David M. Hureau +4 more
TL;DR: In this article, the effects of hot spots policing and crime were investigated and Meta-analyses were used to determine the size, direction, and statistical significance of the overall impact of hot-spaces policing strategies on crime.
Interaction, Internet Self-Efficacy, and Self-Regulated Learning as Predictors of Student Satisfaction in Distance Education Courses.
TL;DR: It is suggested that improvements in learner–content interaction yield most promise in enhancing student satisfaction and that learner-learner interaction may be negligible in online course settings.
Journal ArticleDOI
Causal inference and the data-fusion problem.
Elias Bareinboim,Judea Pearl +1 more
TL;DR: This work addresses the problem of data fusion—piecing together multiple datasets collected under heterogeneous conditions to obtain valid answers to queries of interest and presents a general, nonparametric framework for handling these biases.