ERIC Number: EJ1303888
Record Type: Journal
Publication Date: 2021
Pages: 17
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-2148-7456
EISSN: N/A
Available Date: N/A
Point and Interval Estimators of an Indirect Effect for a Binary Outcome
International Journal of Assessment Tools in Education, v8 n2 p279-295 2021
Conventional estimators for indirect effects using a difference in coefficients and product of coefficients produce the same results for continuous outcomes. However, for binary outcomes, the difference in coefficient estimator systematically underestimates the indirect effects because of a scaling problem. One solution is to standardize regression coefficients. The residual from a regression of a predictor on a mediator, which we call the residualized variable in this paper, was used to address the scaling problem. In simulation study 1, different point estimators of indirect effects for binary outcomes are compared in terms of the means of the estimated indirect effects to demonstrate the scaling problem and the effects of its remedies. In simulation study 2, confidence and credible intervals of indirect effects for binary outcomes were compared in terms of powers, coverage rates, and type I error rates. The bias-corrected (BC) bootstrap confidence intervals performed better than did other intervals.
Descriptors: Statistical Analysis, Computation, Regression (Statistics), Scaling, Comparative Analysis, Sampling, Statistical Inference, Bayesian Statistics
International Journal of Assessment Tools in Education. Pamukkale University, Faculty of Education, Kinikli Campus, Denizli 20070, Turkey. e-mail: ijate.editor@gmail.com; Web site: https://ijate.net/index.php/ijate
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A