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Experimental and Quasi-Experimental Designs for Generalized Causal Inference
TLDR
In this article, the authors present experiments and generalized Causal inference methods for single and multiple studies, using both control groups and pretest observations on the outcome of the experiment, and a critical assessment of their assumptions.Abstract:
1. Experiments and Generalized Causal Inference 2. Statistical Conclusion Validity and Internal Validity 3. Construct Validity and External Validity 4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome 5. Quasi-Experimental Designs That Use Both Control Groups and Pretests 6. Quasi-Experimentation: Interrupted Time Series Designs 7. Regression Discontinuity Designs 8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them 9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment 10. Practical Problems 2: Treatment Implementation and Attrition 11. Generalized Causal Inference: A Grounded Theory 12. Generalized Causal Inference: Methods for Single Studies 13. Generalized Causal Inference: Methods for Multiple Studies 14. A Critical Assessment of Our Assumptionsread more
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Cochrane Handbook for Systematic Reviews of Interventions
Julian P T Higgins,Sally Green +1 more
TL;DR: The Cochrane Handbook for Systematic Reviews of Interventions is the official document that describes in detail the process of preparing and maintaining Cochrane systematic reviews on the effects of healthcare interventions.
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Mixed Methods Research: A Research Paradigm Whose Time Has Come
TL;DR: In this paper, the authors position mixed methods research (mixed research is a synonym) as the natural complement to traditional qualitative and quantitative research, and present pragmatism as offering an attractive philosophical partner for mixed method research.
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Prejudice, social stress, and mental health in lesbian, gay, and bisexual populations: conceptual issues and research evidence
TL;DR: It is shown that LGBs have a higher prevalence of mental disorders than heterosexuals and a conceptual framework is offered for understanding this excess in prevalence of disorder in terms of minority stress--explaining that stigma, prejudice, and discrimination create a hostile and stressful social environment that causes mental health problems.
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A comparison of methods to test mediation and other intervening variable effects.
TL;DR: A Monte Carlo study compared 14 methods to test the statistical significance of the intervening variable effect and found two methods based on the distribution of the product and 2 difference-in-coefficients methods have the most accurate Type I error rates and greatest statistical power.
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From Neurons to Neighborhoods: The Science of Early Childhood Development
TL;DR: From Neurons to Neighborhoods as discussed by the authors presents the evidence about "brain wiring" and how children learn to learn to speak, think, and regulate their behavior, and examines the effect of the climate-family, child care, community-within which the child grows.
References
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Quantitative Applications in the Social Sciences
Journal ArticleDOI
Reforms as experiments
TL;DR: Campbell as mentioned in this paper befast sich mit den Grunden dafur and versucht Wege aufzuzeigen, wie dies geandert werden konnte.
Book
Losing Ground: American Social Policy, 1950-1980
TL;DR: In this paper, the authors discuss the incentives to fail and the destruction of status rewards in the context of social policy, focusing on short-term gains and the consequences of failure.
Journal Article
Quasi-experimentation - design and analysis issues for field settings - cook,td, campbell,dt
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The estimation of causal effects from observational data
TL;DR: In this article, the authors review the large literature produced primarily by statisticians and econometricians in the past two decades on the estimation of causal effects from observational data and present estimators that exploit the additional information furnished by longitudinal data.