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Copeland, Christopher T. – Creativity Research Journal, 2016
Previous characterizations of rumination do not account for why a reflective style of ruminative response to negative mood, as opposed to a brooding style, is linked with greater creativity--especially when indecision is high. Moreover, less is known about ruminative responses to positive mood. The purpose of this investigation is to demonstrate…
Descriptors: Psychological Patterns, Decision Making, Creativity, Creative Thinking
Marini, Jessica P.; Shaw, Emily J.; Young, Linda – College Board, 2016
During the transition period between the use of exclusively old SAT® scores and the use of exclusively new SAT scores, college admission offices will be receiving both types of scores from students. Making an admission decision based on new SAT scores can be challenging at first because institutions have methods, procedures, and models based on…
Descriptors: College Entrance Examinations, Scores, College Admission, Decision Making
Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
Kieu, Hung Q. – ProQuest LLC, 2010
Leadership is critically important because it affects the health of the organization. Research has found that leadership is one of the most significant contributors to organizational performance. Expanding and replicating previous research, and focusing on the specific telecommunications sector, this study used multiple correlation and regression…
Descriptors: Predictor Variables, Telecommunications, Internet, Transformational Leadership
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Whitney, Douglas R.; Boyd, Norlin W. – College and University, 1971
Descriptors: Admission Criteria, Decision Making, Higher Education, Measurement
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Passmore, David L.; Irvin, Donald E. – Journal of Industrial Teacher Education, 1974
The generation of empirically-based equations is within the grasp of most researchers in occupational education. This paper was designed to develop a sensitivity to the need for cross-validation in these circumstances. Program CROSVAL is a means of bridging the gap between the need for, and mechanization of, cross validation. (Author/DS)
Descriptors: Decision Making, Educational Research, Predictive Measurement, Predictive Validity
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Armstrong, David F.; Nunley, Charlene Wenckowski – Journal of Higher Education, 1981
Two methods used to predict enrollment at Montgomery College in Maryland are compared and evaluated, and the administrative context in which they are used is considered. The two methods involve time series analysis (curve fitting) and indicator techniques (yield from components). (MSE)
Descriptors: Case Studies, Community Colleges, Comparative Analysis, Decision Making
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Algozzine, Bob; Ysseldyke, James E. – Journal of Educational Research, 1980
Teachers' and psychologists' ratings of children's potential performance in reading and mathematics are influenced by selected information in referral statements read prior to having objective test scores or rating scales for evaluation. (JMF)
Descriptors: Academic Records, Achievement Rating, Decision Making, Expectation
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Loughmiller, Grover C. – Journal of Medical Education, 1971
Study to help provide a data base on which medical administrators could base their decisions on students' admissions and continuance credentials. (IR)
Descriptors: Academic Achievement, Admission Criteria, Decision Making, Medical Education
Cabrera, Alberto F.; And Others – 1990
This study tested the convergent and discriminant validity between two theories of college persistence: the Student Attrition Model and the Student Integration Model. The study examined conceptual similarities for each theory to explain departure decisions and examined how both theoretical frameworks enhanced the understanding of the processes…
Descriptors: Academic Persistence, Decision Making, Discriminant Analysis, Higher Education
Banks, Karen Vlahos; Nolen, Patricia – 1985
In light of criticisms that teacher preparation programs do not adequately prepare prospective reading teachers and specialists for actual classroom problems, a study was conducted to determine the accuracy of teacher diagnoses and planning for reading difficulties and to examine differences in coursework preparation and classroom experience.…
Descriptors: Decision Making, Higher Education, Predictive Measurement, Predictive Validity
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Blacher, Jan; Hanneman, Robert – Research in Developmental Disabilities, 1993
Behavioral intentions of 100 families regarding out-of-home placement for their child or early adolescent with severe handicaps were tracked 4 times over 6 years with the Placement Tendency Index, to assess the dynamics of family behavioral change. The index had long-term modest predictive capacity but increased predictive utility over shorter…
Descriptors: Adolescents, Affective Measures, Attitude Measures, Behavior Rating Scales
Chou, Tungshan; Huberty, Carl J. – 1990
The effectiveness of the freshman admissions prediction equation (FAPE) at the University of Georgia (Athens) was studied, using data for 3,378 freshman (1,490 males and 1,888 females) in 1987-88. For the 1987-88 data, a previous (1982) prediction equation functioned poorly in terms of predictive accuracy. New prediction models were constructed…
Descriptors: College Entrance Examinations, College Freshmen, Decision Making, Equations (Mathematics)
Hummel, Thomas J. – 1990
A new computer-based approach for teaching counselors about predictive validity and how to use tests in clinical decision making was developed and tested. The approach is based on concepts similar to those used in inferential statistics, particularly statistical hypothesis testing. To implement this model, the counselor must: (1) determine the…
Descriptors: Clinical Diagnosis, Computer Assisted Instruction, Computer Software Evaluation, Counselor Training
Fruen, Mary – NCME Measurement in Education, 1978
There are both strengths and weaknesses of using standardized test scores as a criterion for admission to institutions of higher education. The relative importance of scores is dependent on the institution's degree of selectivity. In general, decision processes and admissions criteria are not well defined. Advantages of test scores include: use of…
Descriptors: Admission Criteria, College Admission, College Entrance Examinations, Competitive Selection