Search Results - subject:"causal inference."

Opening the black box and searching for smoking guns : Process causality in qualitative research

Bennett, Elisabeth E.; McWhorter, Rochell R. - In: European Journal of Training and Development 40 (2016) 8/9, pp. 691-718

limitations/implications A major conclusion of this study is that qualitative research plays a critical role in causal inference … studies to demonstrate a more holistic view of causality and to demonstrate the value of qualitative research for causal … inference. Process causality in qualitative research is added to the mix of techniques and theories found in the larger …

Persistent link: https://www.econbiz.de/10014725831

Nonexperimental research: strengths, weaknesses and issues of precision

Reio, Thomas G. - In: European Journal of Training and Development 40 (2016) 8/9, pp. 676-690

Purpose Nonexperimental research, defined as any kind of quantitative or qualitative research that is not an experiment, is the predominate kind of research design used in the social sciences. How to unambiguously and correctly present the results of nonexperimental research, however, remains...

Persistent link: https://www.econbiz.de/10014725838

Estimating Effects with Rare Outcomes and High Dimensional Covariates: Knowledge is Power

Balzer, Laura; Ahern, Jennifer; Galea, Sandro; van der … - In: Epidemiologic Methods 5 (2016) 1, pp. 1-18

Abstract Many of the secondary outcomes in observational studies and randomized trials are rare. Methods for estimating causal effects and associations with rare outcomes, however, are limited, and this represents a missed opportunity for investigation. In this article, we construct a new...

Persistent link: https://www.econbiz.de/10014590606

Estimation of the Overall Treatment Effect in the Presence of Interference in Cluster-Randomized Trials of Infectious Disease Prevention

Carnegie, Nicole Bohme; Wang, Rui; De Gruttola, Victor - In: Epidemiologic Methods 5 (2016) 1, pp. 57-68

Abstract An issue that remains challenging in the field of causal inference is how to relax the assumption of no …

Persistent link: https://www.econbiz.de/10014590613

Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap

Tran, Linh; Yiannoutsos, Constantin T.; Musick, Beverly S. - In: Epidemiologic Methods 5 (2016) 1, pp. 69-91

Abstract In conducting studies on an exposure of interest, a systematic roadmap should be applied for translating causal questions into statistical analyses and interpreting the results. In this paper we describe an application of one such roadmap applied to estimating the joint effect of both...

Persistent link: https://www.econbiz.de/10014590626

Model Uncertainty and Model Averaging in Regression Discontinuity Designs

Button, Patrick - In: Journal of Econometric Methods 5 (2016) 1, pp. 103-116

Abstract Parametric (polynomial) models are popular in research employing regression discontinuity designs and are required when data are discrete. However, researchers often choose a parametric model based on data inspection or pretesting. These approaches lead to standard errors and confidence...

Persistent link: https://www.econbiz.de/10014612572

Not all treaties are created equal : the effects of treaty changes on legislative efficiency in the EU

Bølstad, Jørgen; Cross, James P. - In: Journal of common market studies : JCMS 54 (2016) 4, pp. 793-808

Persistent link: https://www.econbiz.de/10015105980

Causal inference in accounting research

Gow, Ian D.; Larcker, David F.; Reiss, Peter C. - In: Journal of accounting research 54 (2016) 2, pp. 477-523

Persistent link: https://www.econbiz.de/10011500041

Causal inference in accounting research

Gow, Ian D.; Larcker, David F.; Reiss, Peter C. - 2016

This paper examines the approaches accounting researchers adopt to draw causal inferences using observational (or nonexperimental) data. The vast majority of accounting research papers draw causal inferences notwithstanding the well-known difficulties in doing so. While some recent papers seek...

Persistent link: https://www.econbiz.de/10011864867

Optimal design of experiments in the presence of interference

Baird, Sarah; Bohren, J. Aislinn; McIntosh, Craig; … - 2016

Persistent link: https://www.econbiz.de/10011705421