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Judith Glaesser – International Journal of Social Research Methodology, 2024
Causal asymmetry is a situation where the causal factors under study are more suitable for explaining the outcome than its absence (or vice versa); they do not explain both equally well. In such a situation, presence of a cause leads to presence of the effect, but absence of the cause may not lead to absence of the effect. A conceptual discussion…
Descriptors: Comparative Analysis, Causal Models, Correlation, Foreign Countries
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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
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Tagay, Özlem – Eurasian Journal of Educational Research, 2015
Problem Statement: A literature analysis revealed that contact disturbances, self-esteem and life satisfaction have been examined in different studies separately. In particular, the researchers observed that the studies conducted on Gestalt contact disturbances are limited in number. In this study, the variables of contact disturbances,…
Descriptors: Foreign Countries, College Students, Interpersonal Competence, Withdrawal (Psychology)
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research