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White, Peter A. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2008
When people make causal judgments from contingency information, a principal aim is to account for occurrences of the outcome. When 2 causes are under consideration, the capacity of either to account for occurrences is judged from how likely the cause is to be present when the outcome occurs and from the rate at which the outcome occurs when that…
Descriptors: Prediction, Influences, Evaluative Thinking, Weighted Scores
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

Campbell, Donald T. – Evaluation Practice, 1994
In spite of many inherent problems, impact evaluation should remain an integral part of program evaluation, both because impact evaluation brings its budget justification with it, and because its focus on causal hypotheses is an essential part of evaluation. Methodology based on the author's body of work is reviewed. (SLD)
Descriptors: Budgeting, Causal Models, Evaluation Methods, Evaluation Problems

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
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection