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Kurtz, Jaime L. – Teaching of Psychology, 2016
All students, from college freshmen to advanced graduate students, have asked themselves, "Will this decision make me happy?" The vast majority of them have been wrong. Affective forecasting, the process of predicting future feelings, is a topic of great interest to students due to its applicable and highly relatable nature. This article…
Descriptors: Prediction, Affective Behavior, Psychological Patterns, Error of Measurement
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Longford, Nicholas Tibor – Journal of Educational and Behavioral Statistics, 2016
We address the problem of selecting the best of a set of units based on a criterion variable, when its value is recorded for every unit subject to estimation, measurement, or another source of error. The solution is constructed in a decision-theoretical framework, incorporating the consequences (ramifications) of the various kinds of error that…
Descriptors: Decision Making, Classification, Guidelines, Undergraduate Students
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Bichi, Ado Abdu; Talib, Rohaya – International Journal of Evaluation and Research in Education, 2018
Testing in educational system perform a number of functions, the results from a test can be used to make a number of decisions in education. It is therefore well accepted in the education literature that, testing is an important element of education. To effectively utilize the tests in educational policies and quality assurance its validity and…
Descriptors: Item Response Theory, Test Items, Test Construction, Decision Making
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Grabovsky, Irina; Wainer, Howard – Journal of Educational and Behavioral Statistics, 2017
In this essay, we describe the construction and use of the Cut-Score Operating Function in aiding standard setting decisions. The Cut-Score Operating Function shows the relation between the cut-score chosen and the consequent error rate. It allows error rates to be defined by multiple loss functions and will show the behavior of each loss…
Descriptors: Cutting Scores, Standard Setting (Scoring), Decision Making, Error Patterns
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Parker, Richard I.; Vannest, Kimberly J.; Davis, John L.; Clemens, Nathan H. – Journal of Special Education, 2012
Within a response to intervention model, educators increasingly use progress monitoring (PM) to support medium- to high-stakes decisions for individual students. For PM to serve these more demanding decisions requires more careful consideration of measurement error. That error should be calculated within a fixed linear regression model rather than…
Descriptors: Measurement, Computation, Response to Intervention, Regression (Statistics)
Newman, Isadore; Fraas, John W. – 1998
Educational researchers often use multiple statistical tests in their research studies and program evaluations. When multiple statistical tests are conducted, the chance that Type I errors may be committed increases. Thus, the researchers are faced with the task of adjusting the alpha levels for their individual statistical tests in order to keep…
Descriptors: Decision Making, Educational Research, Error of Measurement, Program Evaluation