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Cawthon, Stephanie W.; Caemmerer, Jacqueline M.; Dickson, Duncan M.; Ocuto, Oscar L.; Ge, Jinjin; Bond, Mark P. – Applied Developmental Science, 2015
Social skills function as a vehicle by which we negotiate important relationships and navigate the transition from childhood into the educational and professional experiences of early adulthood. Yet, for individuals who are deaf, access to these opportunities may vary depending on their preferred language modality, family language use, and…
Descriptors: Predictor Variables, Prediction, Predictive Measurement, Predictive Validity
Bekele, Rahel; McPherson, Maggie – British Journal of Educational Technology, 2011
This research work presents a Bayesian Performance Prediction Model that was created in order to determine the strength of personality traits in predicting the level of mathematics performance of high school students in Addis Ababa. It is an automated tool that can be used to collect information from students for the purpose of effective group…
Descriptors: Foreign Countries, Personality Traits, Mathematics Education, Prediction
Moosai, Susan; Walker, David A.; Floyd, Deborah L. – Community College Journal of Research and Practice, 2011
Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the…
Descriptors: Community Colleges, Graduation Rate, Institutional Evaluation, Institutional Characteristics
Davey, Carla Mae – ProQuest LLC, 2010
According to generational theorists, the interests and experiences of incoming students have fluctuated over time, with Millennial students being more engaged and accomplished than their predecessors. This project explored data from 1974-2007 to determine the actual trends in engagement and accomplishments for three generations of students. Over…
Descriptors: Learner Engagement, School Activities, Grade Point Average, School Holding Power
Peer reviewedHolderness, Aubrey; Handorf, James – Business Education Forum, 1976
The method used to arrive at four measures (three aptitude test scores and a high school grade point average) for predicting probable success is described. These measures were developed into three separate equations to predict success in: learning shorthand theory, reading shorthand notes, and dictation/transcription ability. (Author/MS)
Descriptors: Academic Ability, Office Occupations Education, Prediction, Predictive Measurement
Chimene, Davice G. – 1981
To establish a procedure for use in examining characteristics of future participants in adult education, a study focused on one characteristic--the highest level of education completed among participants in adult education activities. The process followed was to obtain reports from the National Center for Education Statitstics (NCES) (an official…
Descriptors: Adult Education, Adult Students, Educational Background, Enrollment Projections
Peer reviewedHayes, Daniel T. – Central States Speech Journal, 1978
Individual items within the Knower Speech Experience Inventory were studied to discover what specific communication-related experiences distinguish effective from poor public speakers in a basic college level speech communication course. Results showed that 30 of the 48 items successfully discriminated among groups of speakers. (JF)
Descriptors: Academic Ability, College Students, Communication Skills, Experience
Peer reviewedBaird, Leonard L. – Research in Higher Education, 1984
The statistical and institutional influences on the prediction of first-year college grades were examined using data from College Board validity studies and the College Handbook. The criterion was the size of the multiple correlation between academic predictors and first-year college grades. (Author/MLW)
Descriptors: College Students, Grades (Scholastic), Higher Education, Institutional Characteristics
Chang, Lin – New Directions for Institutional Research, 2006
Data-mining technology's predictive modeling was applied to enhance the prediction of enrollment behaviors of admitted applicants at a large state university. (Contains 4 tables and 6 figures.)
Descriptors: College Admission, Data Collection, Data Analysis, Models
Mayeske, George W.; And Others – 1970
The significance of family background (FB) and school factors (SO) in predicting differences among students in their achievement and motivation in different regions of the country (North-South) and areas of residence (metropolitan-nonmetropolitan) is investigated. A statistical test of the equality of slopes and intercepts was used for the FB and…
Descriptors: Academic Achievement, Educational Attitudes, Educational Environment, Educational Objectives
Fincher, Cameron – 1983
A study examined the predictive efficiency of the Scholastic Aptitude Test (SAT) for adult learners in the University System of Georgia (USGA). Also investigated during the study were the effects of variables such as age, sex, and race on the performance of adult learners on the SAT and in college and the relative academic performance of adult…
Descriptors: Academic Achievement, Adult Students, Aptitude Tests, College Entrance Examinations

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