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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
Fernandes Malaquias, Rodrigo; de Oliveira Malaquias, Fernanda Francielle – Turkish Online Journal of Distance Education, 2014
The objective of this study was to validate a scale for assessment of academic projects. As a complement, we examined its predictive ability by comparing the scores of advised/corrected projects based on the model and the final scores awarded to the work by an examining panel (approximately 10 months after the project design). Results of…
Descriptors: Predictive Measurement, Predictive Validity, Predictor Variables, Test Construction
Kitmitto, Sami – National Center for Education Statistics, 2011
The National Center for Education Statistics (NCES) continues to be interested in addressing the issue identified by the Government Accountability Office (GAO). With the release of the 2009 National Assessment of Educational Progress (NAEP) reading and mathematics assessments, NCES again had the opportunity to measure the status and change in…
Descriptors: Inclusion, Disabilities, National Competency Tests, Methods
Lipovetsky, S. – International Journal of Mathematical Education in Science and Technology, 2007
The dependent variable in a regular linear regression is a numerical variable, and in a logistic regression it is a binary or categorical variable. In these models the dependent variable has varying values. However, there are problems yielding an identity output of a constant value which can also be modelled in a linear or logistic regression with…
Descriptors: Chemistry, Regression (Statistics), Models, Comparative Analysis
Wieling, M. B.; Hofman, W. H. A. – Computers & Education, 2010
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…
Descriptors: Feedback (Response), Grade Point Average, Predictor Variables, Lecture Method
Witta, Lea; Kaiser, Javaid – 1991
When survey data are statistically analyzed, many times some of the data is missing. If the missing values are not correctly handled, results of the analysis may be dubious and publication may jeopardize the credibility of the organization preparing the report. This study examined four of the more commonly used methods of handling missing data.…
Descriptors: Comparative Analysis, Evaluation Methods, Predictive Measurement, Regression (Statistics)
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
Rowell, R. Kevin – 1991
This paper explains how commonality analysis (CA) can be conducted using a specific Statistical Analysis System (SAS) procedure and some simple computations. CA is used in educational and social science research to partition the variance of a dependent variable into its constituent predicted parts. CA determines the proportion of explained…
Descriptors: Comparative Analysis, Life Satisfaction, Mathematical Models, Nursing Homes
Peer reviewedBrooks, Terrence A. – Library and Information Science Research, An International Journal, 1984
Two sophisticated--autoregressive integrated moving average (ARIMA), straight-line regression--and two naive--simple average, monthly average--forecasting techniques were used to forecast monthly circulation totals of 34 public libraries. Comparisons of forecasts and actual totals revealed that ARIMA and monthly average methods had smallest mean…
Descriptors: Comparative Analysis, Library Circulation, Prediction, Predictive Measurement
Peer reviewedMason, Craig A.; And Others – Educational and Psychological Measurement, 1996
A strategy is proposed for conceptualizing moderating relationships based on their type (strictly correlational and classically correlational) and form, whether continuous, noncontinuous, logistic, or quantum. Results of computer simulations comparing three statistical approaches for assessing moderator variables are presented, and advantages of…
Descriptors: Comparative Analysis, Computer Simulation, Correlation, Evaluation Methods
Peer reviewedTague, Jean; Ajiferuke, Isola – Journal of Documentation, 1987
Two models of library circulation, the Markov model and the mixed Poisson Model, are applied to circulation statistics from the University of Saskatchewan. Goodness-of-fit tests indicate that neither model fits the data; in both cases, the set of noncirculating items is larger than that predicted by the model. (Author/LRW)
Descriptors: Comparative Analysis, Developed Nations, Foreign Countries, Goodness of Fit
Luk, HingKwan; Jacobs, Lucy C. – 1990
Two studies that compare the use of analysis of patterns in time (APT) (formerly non-metric temporal path analysis) and the linear models approach (LMA) are reported. In the first study, scores on the College Entrance Examination Board French Achievement Test (CEEBFAT), number of years of study of high school French (YHSF), and course achievement…
Descriptors: Achievement Tests, College Entrance Examinations, Comparative Analysis, French
Breland, Hunter M.; Griswold, Philip A. – 1981
Correlation, regression, and score interval analyses were conducted for academic tests including the Scholastic Aptitude Test (SAT), Test of Standard Written English (TSWE), and four subtests of the English Placement Test (EPT) for six different groups. The groups were men, women, Asians, blacks, Hispanics, and whites. The use of grade point…
Descriptors: Achievement Tests, Asian Americans, Basic Skills, Blacks
Wolf, Fredric M.; And Others – 1983
The predictive and incremental validity of both the Old and New Medical College Admission Test (MCAT) was examined and compared with a sample of over 300 medical students. Results of zero order and incremental validity coefficients, as well as prediction models resulting from all possible subsets regression analyses using Mallow's Cp criterion,…
Descriptors: Academic Achievement, Admission Criteria, Biology, Chemistry
Brown, Robert M.; Byrd, Carol C. – 1984
To determine the most accurate means of estimating the expected grade or reading level of 61 sixth grade students, three expectancy formulas were compared to a custom regression equation from a user friendly microcomputer program. The expectancy formulas, based in part on student I.Q. and chronological age, and the regression equations were…
Descriptors: Age, Comparative Analysis, Computer Managed Instruction, Computer Programs
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