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Julie M. Galliart; Kevin M. Roessger – Adult Learning, 2024
Practitioners of adult education have a long history of teaching for social change. They may, however, be uncomfortable using quantitative methods to assess the impact of their learning activities, or they might lack access to statistical analysis software. Quantitative methods help the practitioner determine whether behavioral or attitudinal…
Descriptors: Social Change, Adult Learning, Statistical Analysis, Methods
Paek, Insu; Cui, Mengyao; Öztürk Gübes, Nese; Yang, Yanyun – Educational and Psychological Measurement, 2018
The purpose of this article is twofold. The first is to provide evaluative information on the recovery of model parameters and their standard errors for the two-parameter item response theory (IRT) model using different estimation methods by Mplus. The second is to provide easily accessible information for practitioners, instructors, and students…
Descriptors: Item Response Theory, Computation, Factor Analysis, Statistical Analysis
Chitiyo, Jonathan; May, Michael E. – Preventing School Failure, 2018
The Schoolwide Positive Behavior Intervention Support model (SWPBIS) continues to gain widespread use across schools in the United States and abroad. Despite its widespread implementation, little research has examined factors that influence its sustainability. Informed by Rogers's diffusion theory, this study examined school personnel's…
Descriptors: Positive Behavior Supports, Behavior Modification, Intervention, Sustainability
Sahin, Ismail; Shelley, Mack – Educational Technology & Society, 2008
In the current study, the Distance Education Student Satisfaction Model, estimated as a structural equation model, is proposed to understand better what predicts student satisfaction from online learning environments. In the present study, the following variables are employed based on the Technology Acceptance Model (TAM) (Davis, Bagozzi, &…
Descriptors: Undergraduate Students, Student Attitudes, Distance Education, Online Courses

Yeshurun, Shraga – International Journal of Mathematical Education in Science and Technology, 1980
Presented is an example meant to enable students with a scant mathematical education to grasp the meaning of the limit of the binomial distribution. (Author/TG)
Descriptors: Higher Education, Mathematical Concepts, Mathematical Models, Mathematics Education

Gunther, L.; Weaver, D. L. – American Journal of Physics, 1978
A model of Brownian motion is discussed which includes viscosity effects. The model lends itself to Monte Carlo simulation and thus is suitable for an elementary physics laboratory experiment. (BB)
Descriptors: College Science, Higher Education, Laboratory Experiments, Mathematical Models

Mahmoud, Mohamed M. – Assessment and Evaluation in Higher Education, 1991
A study used correlational analysis and step-wise multiple regression to build mathematical models representing the dynamics of student evaluation of courses and teachers. The resulting models were very strong and were subsequently used to improve academic programs in Kuwait's Institute of Banking Studies. (Author/MSE)
Descriptors: Course Evaluation, Decision Making, Evaluation Criteria, Evaluation Methods
Feinberg, Mark E.; Gomez, Brendan J.; Puddy, Richard W.; Greenberg, Mark T. – Health Education & Behavior, 2008
Community coalitions (CCs) have labored with some difficulty to demonstrate empirical evidence of effectiveness in preventing a wide range of adolescent problem behaviors. Training and technical assistance (TA) have been identified as important elements in promoting improved functioning of CCs. A reliable, valid, and inexpensive method to assess…
Descriptors: Prevention, Construct Validity, Risk, Questionnaires

Dynarski, Mark – Economics of Education Review, 1987
To examine the reasons for declining Scholastic Aptitude Test scores during the past two decades, this paper proposes an empirical achievement model incorporating students' demographic characteristics and an expanding test-taking population. While test scores and participation rates are positively correlated, participation changes over time mask…
Descriptors: Academic Achievement, Academic Aptitude, Models, School Demography

Bessant, Kenneth C. – Teaching Sociology, 1992
Explores the need to teach undergraduate sociology majors about statistical methods. Identifies student based obstacles to the learning of statistics. Offers an instructional model that includes (1) warm up sessions; (2) organizational models; (3) application exercises; (4) pattern recognition; and (5) sociological meaning. Recommends the model as…
Descriptors: Higher Education, Introductory Courses, Models, Social Science Research
Wylie, Peter B. – Currents, 1999
Statistical modeling provides a method for colleges to use alumni-development information to create an equation predicting who is likely to respond positively to fund-raising appeals. This can make fund raising more cost-effective, provide higher returns on minimal investment, provide results quickly, and improve competitiveness. Resources…
Descriptors: College Administration, Cost Effectiveness, Fund Raising, Higher Education

Paulsen, Michael B. – Review of Higher Education, 1991
A study testing many hypotheses from recent literature on college tuition determination is reported. The persistence of hypothesized relationships through several decades of varying environmental conditions and institutional circumstances serves as a basis for recommendations regarding the control of tuition increases in U.S. colleges and…
Descriptors: Educational Demand, Educational Finance, Educational Supply, Higher Education
Vinsonhaler, Jeane C.; Vinsonhaler, John F. – 1991
This project examined the use of quantitative statistical models to bridge the gap between commonly available university data and knowledge for decision making. A method using a multivariate statistical model is discussed in the context of academic quality in higher education. A "problem-oriented" data base designed to study quality and…
Descriptors: Databases, Decision Making, Differences, Educational Quality
Strauss, Jon C. – Business Officer, 1997
Presents three different, complementary statistical models for predicting faculty tenure dynamics, using data from Worcester Polytechnic Institute (Massachusetts). The difference equation model exactly describes future behavior but requires complete specification. The Markov-chain model can predict the full life-cycle of tenure from initial age…
Descriptors: Case Studies, College Administration, College Faculty, Comparative Analysis

Pike, Gary R. – Review of Higher Education, 1992
A study at the University of Tennessee Knoxville used mixed-effect structural equation models incorporating latent variables as an alternative to conventional methods of analyzing college students' (n=722) first-year-to-senior academic gains. Results indicate, contrary to previous analysis, that coursework and student characteristics interact to…
Descriptors: Academic Achievement, Achievement Gains, College Students, Higher Education