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Okeke-Uzodike, O. E.; Chitakunye, Pepukayi – Africa Education Review, 2016
This study contributes to the on-going discourse on calibration among University students. The study examines the understanding of student self-reflectivity in relation to class written tests and assignments, and of the fact that students' expected results rarely match the actual results. A quantitative research approach was adopted to collect…
Descriptors: Higher Education, Business Administration Education, Assignments, Undergraduate Students
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Eren, Altay; Yesilbursa, Amanda – Educational Research for Policy and Practice, 2017
The present study aimed to investigate the diverse aspects of prospective teachers' dispositional hopes, teaching-specific hopes, and their sources, as well as to explore whether these would significantly predict their preparation for the teaching profession. A total of 851 prospective teachers voluntarily participated in the study. A series of…
Descriptors: Investigations, Preservice Teachers, Preservice Teacher Education, Statistical Analysis
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Armstrong, Michael J. – Decision Sciences Journal of Innovative Education, 2013
This experiment enabled undergraduate business students to better assess their progress in a course by quantitatively forecasting their own end-of-course grades. This innovation provided them with predictive feedback in addition to the outcome feedback they were already receiving. A total of 144 students forecast their grades using an…
Descriptors: Grade Prediction, Case Studies, Undergraduate Students, Statistical Analysis
Kingery, Paul M.; Glasgow, Russell E. – Health Education (Washington D.C.), 1989
Findings from a study of 127 outpatients with noninsulin dependent diabetes mellitus indicate that self-efficacy and outcome expectations are moderately strong predictors of self-care in the exercise regimen, but weaker predictors in the dietary and glucose testing areas. (IAH)
Descriptors: Adults, Diabetes, Expectation, Health Education
Miller, Carol; Meier, Robert – 1974
Two approaches were used to predict State Board Examinations (SBE) results for students in four schools of nursing. Multiple regression was used to predict scores of 191 nurses who graduated and took the SBE. Discriminant function analysis was used for 375 nursing students to predict students who would take and pass the SBE from those who would…
Descriptors: Anxiety, Associate Degrees, Expectation, Grade Point Average