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Peltier, James W.; Schibrowsky, John A.; Drago, William – Journal of Marketing Education, 2007
A structural model of the drivers of online education is proposed and tested. The findings help to identify the interrelated nature of the lectures delivered via technology outside of the traditional classroom, the importance of mentoring, the need to develop course structure, the changing roles for instructors and students, and the importance of…
Descriptors: Causal Models, Online Courses, Course Content, Learning Experience
Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2009
This paper examines the estimation of two-stage clustered RCT designs in education research using the Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for the study population (the…
Descriptors: Control Groups, Causal Models, Statistical Significance, Computation
Rex, Lesley A. – Journal of Literacy Research, 2006
In this article I draw on 3 incidents to investigate how teachers and students purposefully negotiate to manage incipient conflict when race is a confounding factor. I do so to propose a methodology and theoretical framework for researching multiracial classroom teaching and learning that could inform White literacy teachers' pedagogy with…
Descriptors: Social Life, Classroom Environment, Multiracial Persons, Causal Models
Rips, Lance J.; Blok, Sergey; Newman, George – Psychological Review, 2006
This article considers how people judge the identity of objects (e.g., how people decide that a description of an object at one time, t-sub-0, belongs to the same object as a description of it at another time, t-sub-1). The authors propose a causal continuer model for these judgments, based on an earlier theory by Nozick (1981). According to this…
Descriptors: Causal Models, Attribution Theory, Object Permanence, Psychological Evaluation
Morris, Don R. – 2001
The focus of this paper is causal inference in social and educational research. A concern with causality has had a profound impact on the kinds of questions that may be addressed in research, on how they must be formulated, and on the methodology that must be applied. In the social sciences the prevailing experimental paradigm is used to address…
Descriptors: Causal Models, Educational Research, Research Methodology, Social Science Research
Peer reviewedPorkess, Roger – Teaching Statistics, 1996
This article examines some of the difficulties frequently encountered by students when analyzing bivariate data and suggests how they might be overcome. (Author)
Descriptors: Causal Models, Correlation, Misconceptions, Prediction
Peer reviewedMaris, Ronald W. – Suicide and Life-Threatening Behavior, 1991
To predict suicide, explicit causal models of suicide outcome are needed in which predictors are temporally ordered and then tested statistically. Because suicide is a dichotomous, nominal scale outcome, only certain statistics for prediction are appropriate. Logistic regression, which utilizes the likelihood ratio test of statistical inference,…
Descriptors: Causal Models, Predictive Measurement, Predictor Variables, Research Design
Peer reviewedWolfle, Lee M. – Structural Equation Modeling, 1999
Researchers interested in linear causal models discovered that a genetic biologist, Sewall Wright, had laid the groundwork for these models over nearly 50 years. This annotated bibliography covers Wright's development of the method of path coefficients. (Author/SLD)
Descriptors: Annotated Bibliographies, Biology, Causal Models, Genetics
Peer reviewedRogers, Patricia J. – New Directions for Evaluation, 2000
Discusses the role that causal models play in program theory evaluation. Considers several types of causal relationships and discusses three causal models derived from systems theory, the theories of virtuous or vicious cycles, symptomatic solutions, and feedback delays. (SLD)
Descriptors: Causal Models, Evaluation Methods, Feedback, Program Evaluation
Peer reviewedMohr, Lawrence B. – American Journal of Evaluation, 1999
Discusses qualitative methods of impact analysis and provides an introductory treatment of one such approach. Combines an awareness of an alternative causal epistemology with current knowledge of qualitative methods of data collection and measurement to produce an approach to the analysis of impacts. (SLD)
Descriptors: Causal Models, Data Collection, Epistemology, Measurement Techniques
Sloman, Steven A.; Lagnado, David A. – Cognitive Science, 2005
A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines (1993; cf. Pearl, 2000). The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To…
Descriptors: Observation, Intervention, Causal Models, Prediction
Peer reviewedPerrone, Kristin M.; Civiletto, Christine L. – Journal of Employment Counseling, 2004
The authors examined the relationships among life role salience, role strain, coping efficacy, and life satisfaction for adults (N = 125) who combine multiple life roles. Causal modeling procedures were used to test hypotheses based on D. E. Super's (1980, 1990) life-span, life-space theory and the social cognitive career theory (R. W. Lent, S. D.…
Descriptors: Coping, Life Satisfaction, Role, Causal Models
Estep, Steven A. – ProQuest LLC, 2009
The purpose of this exploratory case study was to identify, investigate, and describe factors that contributed to the academic success of Phelps High School, a rural, isolated, Appalachian high school in Pike County Kentucky. The academic index of the school in 2000 was 48% and in a six year period the academic index of the school improved to 94%.…
Descriptors: Teaching Methods, Rural Schools, High Schools, Case Studies
Meyer, Katrina A.; Xu, Yonghong Jade – Journal of Asynchronous Learning Networks, 2009
Based on earlier studies using the 1999 and 2004 National Study of Postsecondary Faculty (NSOPF) data [1, 2], a causal model explaining faculty technology use was constructed. Path analysis was used to test the causal effects of age, gender, highest degree, discipline (health science or not), recent research productivity, and teaching load on…
Descriptors: College Instruction, Intellectual Disciplines, Causal Models, Teaching Load
Radford, Mike – Oxford Review of Education, 2008
The dominant discourse in research, management and teaching is one that may loosely be characterised as that of prediction and control. The objective of research is to identify causal correlations within policy, management, teaching strategies and educational outcomes that are sufficiently robust as to be able to predict outcomes and make…
Descriptors: Models, Educational Objectives, Outcomes of Education, Prediction

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