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Gonzalez-Ocantos, Ezequiel; LaPorte, Jody – Sociological Methods & Research, 2021
Scholars who conduct process tracing often face the problem of missing data. The inability to document key steps in their causal chains makes it difficult to validate theoretical models. In this article, we conceptualize "missingness" as it relates to process tracing, describe different scenarios in which it is pervasive, and present…
Descriptors: Data, Research Problems, Qualitative Research, Causal Models
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Jacob Pleasants – Science & Education, 2024
As part of a growing emphasis on "STEM," engineering has gained prominence in precollege education. In response to that trend, an emerging area of educational research focuses on the "Nature of Engineering" (NOE), a collection of ideas about what engineering is, what engineers do, and how engineering is related to science and…
Descriptors: Social Environment, STEM Education, Engineering, Engineering Education
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Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
Gelman, Andrew; Imbens, Guido – National Bureau of Economic Research, 2014
It is common in regression discontinuity analysis to control for high order (third, fourth, or higher) polynomials of the forcing variable. We argue that estimators for causal effects based on such methods can be misleading, and we recommend researchers do not use them, and instead use estimators based on local linear or quadratic polynomials or…
Descriptors: Regression (Statistics), Mathematical Models, Causal Models, Research Methodology
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
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Lebow, Richard Ned – History Teacher, 2007
Counterfactuals are routinely used in physical and biological sciences to develop and evaluate sophisticated, non-linear models. They have been used with telling effect in the study of economic history and American politics. For some historians, counterfactual arguments have no scholarly standing. They consider them flights of fancy, fun over a…
Descriptors: Research Tools, Historians, Research Methodology, History
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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)
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Cohen, Patricia; And Others – Applied Psychological Measurement, 1990
Problems in the measurement of latent variables (LVs) in structural equations causal models are presented, with examples from recent empirical studies. Main issues addressed are (1) two general types of increased operative variables; (2) criteria for indicators of LVs; and (3) disattenuation effects in LV models. (SLD)
Descriptors: Causal Models, Literature Reviews, Mathematical Models, Measurement Techniques
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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
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Thiessen, Del; Young, Robert K. – Society, 1994
The authors' review of scientific studies on sexual coercion leads to their conclusions that many such studies lack rigor, reflect experimenter bias, and provide almost no insight into causal mechanisms of coercive behaviors. In the politicized area of women's studies, social expression is valued beyond scientific progress. (SLD)
Descriptors: Causal Models, Females, Research Methodology, Research Problems
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Campbell, J. R., Ed. – International Journal of Educational Research, 1994
This special issue summarizes parallel studies in five countries (Japan, Greece, Thailand, Republic of China, United States) investigating the causal linkages among socioeconomic status variables, family processes, and school variables on the mathematics achievement of urban elementary school children. Methodological problems in cross-cultural and…
Descriptors: Causal Models, Cross Cultural Studies, Elementary Education, Elementary School Students