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Quantitative Applications in the Social Sciences
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This article is published in Journal of the Operational Research Society.The article was published on 1983-10-01. It has received 3632 citations till now.read more
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Qualitative content analysis in nursing research: concepts, procedures and measures to achieve trustworthiness
TL;DR: An overview of important concepts related to qualitative content analysis is provided and measures to achieve trustworthiness (credibility, dependability and transferability) throughout the steps of the research procedure are proposed.
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Experimental and Quasi-Experimental Designs for Generalized Causal Inference
TL;DR: 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.
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Causation, prediction, and search
TL;DR: The authors axiomatize the connection between causal structure and probabilistic independence, explore several varieties of causal indistinguishability, formulate a theory of manipulation, and develop asymptotically reliable procedures for searching over equivalence classes of causal models.
Journal ArticleDOI
Outcomes for Implementation Research: Conceptual Distinctions, Measurement Challenges, and Research Agenda
Enola K. Proctor,Hiie Silmere,Ramesh Raghavan,Peter S. Hovmand,Greg Aarons,Alicia C. Bunger,Richard H Griffey,Melissa A. Hensley +7 more
TL;DR: A heuristic, working “taxonomy” of eight conceptually distinct implementation outcomes—acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability—along with their nominal definitions is proposed.
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Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference
TL;DR: A unified approach is proposed that makes it possible for researchers to preprocess data with matching and then to apply the best parametric techniques they would have used anyway and this procedure makes parametric models produce more accurate and considerably less model-dependent causal inferences.
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Multiple regression in practice
William D. Berry,Stanley Feldman +1 more
TL;DR: In this article, the consequences of violating the assumptions of the regression model procedures for figuring out when violations exist and strategies for dealing with problems when they occur are discussed, with many examples from political science sociology and economics.
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XXII. On a new method of reducing observations relating to several quantities
TL;DR: The London, Edinburgh, and Dublin Philosophical Magazine and Journal of Science: Vol. 25, No. 154, pp. 184-191 as discussed by the authors, were the first to propose a method of reducing observations relating to several quantities.