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Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
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Bakir, Saad T. – American Journal of Business Education, 2010
We propose a nonparametric (or distribution-free) procedure for testing the equality of several population variances (or scale parameters). The proposed test is a modification of Bakir's (1989, Commun. Statist., Simul-Comp., 18, 757-775) analysis of means by ranks (ANOMR) procedure for testing the equality of several population means. A proof is…
Descriptors: Majors (Students), Grade Point Average, Nonparametric Statistics, Business Administration Education
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Bures, Eva Mary; Schmid, Richard F.; Abrami, Philip C. – Educational Media International, 2009
This study explores a labelling feature that allows students to tag parts of their online messages. Data comes from four sequentially offered sessions of a graduate education course. Students engaged in two to three online activities in groups of three or four. Students (n = 53) contributed from 0 to 56 labels (M = 12.42, SD = 13.50) and 18 to 114…
Descriptors: Foreign Countries, Higher Education, Graduate Students, Education Courses
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Salamy, A. – Child Development, 1981
Determines the frequency distribution of Brainstem Auditory Evoked Potential variables (BAEP) for premature babies at different stages of development--normal newborns, infants, young children, and adults. The author concludes that the assumption of normality underlying most "standard" statistical analyses can be met for many BAEP…
Descriptors: Adults, Age Differences, Auditory Stimuli, Classification
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Hummel, Thomas J. – 1993
Tables for testing clinical hypotheses about counseling clients are presented, and their use is described. Primary uses are determining a critical value or cutoff score on a predictor that can be used to classify an individual as a member of a clinical group, and instructing those unfamiliar with the limitations of tests about the conditions under…
Descriptors: Classification, Clinical Diagnosis, Counseling, Counselors