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McKerchar, Todd L.; Renda, C. Renee – Psychological Record, 2012
The purpose of this review is to introduce the reader to the concepts of delay and probability discounting as well as the major empirical findings to emerge from research with humans on these concepts. First, we review a seminal discounting study by Rachlin, Raineri, and Cross (1991) as well as an influential extension of this study by Madden,…
Descriptors: Delay of Gratification, Conceptual Tempo, Rewards, Probability
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Killeen, Peter R. – Psychological Review, 2009
Goods remote in temporal, spatial, or social distance, or in likelihood, exert less control over our behavior than those more proximate. The decay of influence with distance, of perennial interest to behavioral economists, has had a renaissance in the study of delay discounting. By developing discount functions from marginal utilities, this…
Descriptors: Delay of Gratification, Probability, Behavioral Science Research, Influences
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Mourad, Roger; Hong, Ji-Hee – Journal of Applied Research in the Community College, 2008
This study applies competing risks survival analysis to describe outcome attainment for an entire cohort of students who first attended a Midwestern community college in the Fall Semester 2001. Outcome attainment included transfer to a four-year institution, degree/ certificate attainment from the community college under study, and transfer to a…
Descriptors: Statistical Analysis, Probability, Time, Outcomes of Education
Wolfe, Edward W.; Chiu, Chris W. T. – 1997
When measures are taken on the same individual over time, it is difficult to determine whether observed differences are the result of changes in the person or changes in other facets of the measurement situation (e.g. interpretation of items or use of rating scale). This paper describes a method for disentangling changes in persons from changes in…
Descriptors: Change, Item Response Theory, Measurement Techniques, Portfolio Assessment
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Willett, John B.; Singer, Judith D. – Review of Educational Research, 1991
This article shows how the methods of survival analysis (also known as event history analysis) lend themselves to the study of the timing of educational events. Using examples from teacher attrition and student dropout research, survival methods are introduced for building statistical models of the risk of event occurrence over time. (Author/SLD)
Descriptors: Careers, Data Collection, Dropout Research, Educational Research