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Hertog, Steffen – Sociological Methods & Research, 2023
In mixed methods approaches, statistical models are used to identify "nested" cases for intensive, small-n investigation for a range of purposes, including notably the examination of causal mechanisms. This article shows that under a commonsense interpretation of causal effects, large-n models allow no reliable conclusions about effect…
Descriptors: Case Studies, Generalization, Prediction, Mixed Methods Research
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Jane E. Miller – Numeracy, 2023
Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…
Descriptors: Statistical Significance, Holistic Approach, Statistical Inference, Effect Size
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Ulriksen, Marianne S.; Dadalauri, Nina – International Journal of Social Research Methodology, 2016
Single case studies can provide vital contributions to theory-testing in social science studies. Particularly, by applying the process-tracing method, case studies can test theoretical frameworks through a rigorous research design that ensures substantial empirical leverage. While most scholarly contributions on process-tracing focus on either…
Descriptors: Case Studies, Hypothesis Testing, Social Science Research, Research Methodology
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Love, Edwin; Stelling, Pete – Marketing Education Review, 2012
The reaction that occurs when Mentos are added to bottled soft drinks has become a staple demonstration in earth science courses to explain how volcanoes erupt. This paper presents how this engaging exercise can be used in a marketing research course to provide hands-on experience with problem formation, hypothesis testing, and causal research. A…
Descriptors: Marketing, Research, Comparative Analysis, Experiments
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Lahey, Benjamin B.; D'Onofrio, Brian M.; Waldman, Irwin D. – Journal of Child Psychology and Psychiatry, 2009
Epidemiology uses strong sampling methods and study designs to test refutable hypotheses regarding the causes of important health, mental health, and social outcomes. Epidemiologic methods are increasingly being used to move developmental psychopathology from studies that catalogue correlates of child and adolescent mental health to designs that…
Descriptors: Mental Disorders, Mental Health, Psychopathology, Epidemiology
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Mair, Patrick; von Eye, Alexander – Psychological Methods, 2007
In this article, the authors have 2 aims. First, hierarchical, nonhierarchical, and nonstandard log-linear models are defined. Second, application scenarios are presented for nonhierarchical and nonstandard models, with illustrations of where these scenarios can occur. Parameters can be interpreted in regard to their formal meaning and in regard…
Descriptors: Hypothesis Testing, Causal Models, Matrices, Coding
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Nettles, Stephen M.; Petscher, Yaacov – Journal of Personnel Evaluation in Education, 2007
Measurement of principal implementation behaviors has proved difficult to researchers in educational leadership due to a lack of consensus on the operational definitions of leadership constructs. The Principal Implementation Questionnaire (PIQ) was developed and validated with the intention of providing clarity in the assessment of principal…
Descriptors: Reading Programs, Instructional Leadership, Hypothesis Testing, Causal Models
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Kruschke, John K.; Kappenman, Emily S.; Hetrick, William P. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2005
The associative learning effects called blocking and highlighting have previously been explained by covert learned attention, but evidence for learned attention has been indirect, via models of response choice. The present research reports results from eye tracking consistent with the attentional hypothesis: Gaze duration is diminished for blocked…
Descriptors: Individual Differences, Associative Learning, Attention, Causal Models
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Eflin, Juli T.; Kite, Mary E. – Teaching of Psychology, 1996
Describes a teaching activity that improves students' scientific reasoning by focusing attention on the causal, explanatory nature of psychological theories. Students learn and use an argument form called Inference to the Best Explanation (IBE). Includes examples of this technique and student responses to the course. (MJP)
Descriptors: Attribution Theory, Behavior, Causal Models, Educational Strategies
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Johnson, David E. – Teaching of Psychology, 1996
Provides an exercise for introducing research methods to undergraduates. The students view a graph revealing that left-handed people are underrepresented in older age groups. Small group discussions attempt to explain this phenomenon. A follow-up class discussion focuses on the different approaches and methods available for interpreting the data.…
Descriptors: Causal Models, Critical Thinking, Data Interpretation, Factor Analysis
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Katz, Richard S.; Eagles, Munroe – PS: Political Science and Politics, 1996
Constructs a model that explains a large fraction of the variance in political science departmental rankings. Divides the objective predictors into two sets: one reflecting faculty quality ratings of department members, the other the effects of circumstances beyond a department's control. This model works well with most social science disciplines.…
Descriptors: Achievement Rating, Analysis of Variance, Causal Models, Credentials