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Peer reviewedGavurin, Edward I.; DeVito, Charles – Journal of General Psychology, 1973
Descriptors: College Students, Comparative Analysis, Educational Research, Probability
Hofstee, Willem K. B. – Educ Psychol Meas, 1970
Reversals of trait desirability are studied. Terms indicating conservativw behavior appeared to be judged relatively desirable in comparative judgement, while traits indicating dynamic and expansive behavior benefited from absolute judgement. The reversal effect was shown to be a general one, i.e. reversals were not dependent upon the specific…
Descriptors: Behavior, Comparative Analysis, Individual Characteristics, Methods
Ringeisen, Heather; Casanueva, Cecilia; Cross, Theodore P.; Urato, Matthew – Journal of Emotional and Behavioral Disorders, 2009
This study examines mental health and special education needs and service use at school entry among children involved in maltreatment investigations as infants. Data are from the National Survey of Child and Adolescent Well-Being, a national probability study of 5,501 children investigated for maltreatment. The study sample comprised 959 children…
Descriptors: Health Services, Investigations, Mental Health Programs, Child Welfare
Peer reviewedBrandenburg, Dale C.; Forsyth, Robert A. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Goodness of Fit, Item Sampling, Models
Peer reviewedHamdan, M. A.; And Others – Psychometrika, 1975
Four different extensions to McNemar's problem concerning the hypothesis of equal probabilities for the unlike pairs of correlated binary variables are considered, each for testing simultaneous equality of proportions of unlike pairs in c independent populations of correlated binary variables, but each under different assumptions and/or additional…
Descriptors: Comparative Analysis, Criteria, Goodness of Fit, Hypothesis Testing
Toothaker, Larry E. – 1972
The area investigated in the present study is the comparison of the permutation t-test with Student's t-test and the Mann-Whitney U-test. The comparison was made for small samples for three distributions, including a normal distribution, a uniform distribution, and a skewed distribution. The properties of each test compared were the probability of…
Descriptors: Comparative Analysis, Hypothesis Testing, Mathematical Models, Probability
Barnette, J. Jackson; McLean, James E. – 1997
J. Barnette and J. McLean (1996) proposed a method of controlling Type I error in pairwise multiple comparisons after a significant omnibus F test. This procedure, called Alpha-Max, is based on a sequential cumulative probability accounting procedure in line with Bonferroni inequality. A missing element in the discussion of Alpha-Max was the…
Descriptors: Analysis of Variance, Comparative Analysis, Monte Carlo Methods, Probability
Peer reviewedMyers, Nancy Angrist – Developmental Psychology, 1972
A study of probability learning using a noncontingent binary prediction situation to evaluate the effect of pretraining reinforcement schedule. (author/MB)
Descriptors: Comparative Analysis, Elementary School Students, Expectation, Learning
Peer reviewedSchlottmann, Anne – Child Development, 2001
Examined how 6- to 9-year-olds and adults judged expected value of complex gambles in which alternative outcomes had different prizes. Found that participants at all ages used multiplication rule for integrating probability and value of each individual outcome, and based judgment of overall expected value on alternative outcomes. Even youngest…
Descriptors: Adults, Age Differences, Children, Cognitive Development
Ashline, George; Ellis-Monaghan, Joanna – PRIMUS, 2004
We present a lottery project for lower level mathematics courses that demonstrates financial decision making in a context familiar to students. Students use elementary principals of probability and financial mathematics to compare the expected values of buying Powerball lottery tickets to some basic savings plans. Then, they compare the expected…
Descriptors: Probability, Mathematics Instruction, Mathematical Concepts, Comparative Analysis
Calcagno, Juan Carlos; Crosta, Peter; Bailey, Thomas; Jenkins, Davis – Research in Higher Education, 2007
This paper presents findings from a study of the experiences and outcomes of older and younger community college students. We developed a discrete-time hazard model using longitudinal transcript data on a cohort of first-time community college students in Florida to compare the impact of enrollment pathways (such as remediation) and enrollment…
Descriptors: College Students, Community Colleges, Educational Objectives, Probability
Kitmitto, Sami; Bandeira de Mello, Victor – National Center for Education Statistics, 2008
This report examines the relationship between various characteristics of students with disabilities and the probability that they would participate in the NAEP assessments, given the current methods of accommodation adopted by their state. The report describes the methodological approach which calculates for each state an expected inclusion rate…
Descriptors: Disabilities, Student Participation, Student Characteristics, National Competency Tests
Hamilton, Jacqueline – ProQuest LLC, 2009
An experimental study was conducted to investigate the effects of an Employee Wellness Program on physiological risk factors, job satisfaction, and monetary savings in a South Texas University. The non-probability sample consisted of 31 employees from lower income level positions. The employees were randomly assigned to the treatment group which…
Descriptors: Health Promotion, Employees, Intervention, Wellness
Petersen, Nancy S.; Novick, Melvin R. – 1974
Models proposed by Cleary, Thorndike, Cole, Einhorn and Bass, and Darlington for analyzing bias in the use of tests in a selection strategy are surveyed. Six additional models for test bias are also introduced. The purpose is to describe, compare, contrast, and evaluate these models while, at the same time, extracting such useful ideas as may be…
Descriptors: Comparative Analysis, Mathematical Models, Personnel Selection, Predictive Validity
Peer reviewedBerry, Kenneth J.; Mielke, Paul W., Jr. – Educational and Psychological Measurement, 1997
Describes a FORTRAN software program that calculates the probability of an observed difference between agreement measures obtained from two independent sets of raters. An example illustrates the use of the DIFFER program in evaluating undergraduate essays. (Author/SLD)
Descriptors: Comparative Analysis, Computer Software, Evaluation Methods, Higher Education

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