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Guanglei Hong; Fan Yang; Xu Qin – Grantee Submission, 2023
In causal mediation studies that decompose an average treatment effect into indirect and direct effects, examples of post-treatment confounding are abundant. In the presence of treatment-by-mediator interactions, past research has generally considered it infeasible to adjust for a post-treatment confounder of the mediator-outcome relationship due…
Descriptors: Causal Models, Mediation Theory, Research Problems, Statistical Inference
Stephanie Moore; George Veletsianos; Michael K. Barbour – OTESSA Journal, 2022
While there has been a lot of debate over the impact of online and remote learning on mental health and well-being, there has been no systematic syntheses or reviews of the research on this particular issue. In this paper, we review the research on the relationship between mental health/well-being and online or remote learning. Our review shows…
Descriptors: Distance Education, Electronic Learning, Mental Health, Research Methodology
Johnson, Burke; Russo, Federica; Schoonenboom, Judith – AERA Online Paper Repository, 2017
This paper provides the first mixed methods theory of causation. According to the theory, the researcher must carefully construct a causal mosaic for each research study, articulating what is causally relevant given his/her research questions, purposes, method(s), methodology(ies), paradigms(s), and resources. To engage in this "mixed…
Descriptors: Mixed Methods Research, Correlation, Causal Models, Attribution Theory
Devroop, Karendra – 2000
The purpose of this paper is to articulate the common confusion of correlation for causation. Various articles that have addressed this issue are reviewed, and possible reasons for the misinterpretation of correlation as causation are presented. The differences between correlational and experimental research designs are reviewed, and the…
Descriptors: Causal Models, Correlation, Research Design, Research Problems

Lance, Charles E.; And Others – Educational and Psychological Measurement, 1990
A causal model of halo error (HE) is derived. Three hypotheses are formulated to explain findings of negative HE. It is suggested that apparent negative HE may have been misinferred from existing correlational measures of HE, and that positive HE is more prevalent than had previously been thought. (SLD)
Descriptors: Causal Models, Correlation, Definitions, Equations (Mathematics)
Pae, Tae-Il; Park, Gi-Pyo – Language Testing, 2006
The present study utilized both the IRT-LR (item response theory likelihood ratio) and a series of CFA (confirmatory factor analysis) multi-sample analyses to systematically examine the relationships between DIF (differential item functioning) and DTF (differential test functioning) with a random sample of 15 000 Korean examinees. Specifically,…
Descriptors: Item Response Theory, Factor Analysis, Test Bias, Test Validity