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Ladd, Helen F. – National Center for Analysis of Longitudinal Data in Education Research, 2009
This quantitative study uses data from North Carolina to examine the extent to which survey based perceptions of working conditions are predictive of policy-relevant outcomes, independent of other school characteristics such as the demographic mix of the school's students. Working conditions emerge as highly predictive of teachers' stated…
Descriptors: Academic Achievement, Teacher Surveys, Teacher Attitudes, Statistical Analysis
Ladner, Margaret Catherine Davis – ProQuest LLC, 2009
This study examined the factors that are associated with teacher classroom management with regard to training, attitudes and beliefs, and intervention practices of general and special education teachers in dealing with classroom control. These factors were examined in general and special education classrooms. The participants for this study were…
Descriptors: Classroom Techniques, Intervention, General Education, Disabilities
Cress, Ulrike – International Journal of Computer-Supported Collaborative Learning, 2008
Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…
Descriptors: Predictor Variables, Statistical Analysis, Research Needs, Educational Research
Lassibille, Gerard; Gomez, Lucia Navarro – Education Economics, 2008
This paper seeks to advance our understanding of the drop-out behavior of students in higher education. Our results are based on longitudinal data for 7000 students who embarked on short and long programs from one university in Spain and who were observed over an eight-year period ending in 2004. The statistical analysis is carried out in a…
Descriptors: Higher Education, Family Characteristics, Foreign Countries, Statistical Analysis
Henington, Carlen – 1994
It has been increasingly realized that (1) multivariate methods are essential in most quantitative studies (Fish, 1988; Thompson, 1992), and (2) all conventional parametric analytic methods are correlational and invoke least squares weights (e.g., the beta weights in regression) (Knapp, 1978; Thompson, 1991). The present paper reviews one very…
Descriptors: Correlation, Least Squares Statistics, Measurement Techniques, Multivariate Analysis
Saupe, Joe L. – 1991
This paper describes a procedure for smoothing the proportions of a double-entry expectancy table which might be used in higher education admissions advising or other functions. The product of the smoothing procedure is a nomograph, a medium for displaying expectancies which provides pairs of individual values for two predictor variables rather…
Descriptors: Expectancy Tables, Higher Education, Institutional Research, Predictive Measurement
Bogenschild, Erika Gierl; And Others – 1988
Attrition statistics were analyzed for the entire teaching population in Wisconsin from 1984-1988. Teachers with provisional certification were more likely to leave teaching than were fully certified teachers during the first 2 years of the study, but during the third year of the study, attrition rates were comparable. Attrition rates of special…
Descriptors: Disabilities, Elementary Secondary Education, Faculty Mobility, Predictor Variables
Gardner, Don E. – 1980
The merits of double exponential smoothing are discussed relative to other types of pattern-based enrollment forecasting methods. The difficulties associated with selecting an appropriate weight factor are discussed, and their potential effects on prediction results are illustrated. Two methods for objectively selecting the "best" weight…
Descriptors: College Students, Enrollment Projections, Enrollment Trends, Higher Education
Winn, William – 1976
New ways of using factor analysis in research designs are suggested in this paper that would allow research to move in new directions that are being suggested for educational technology. A brief simplified overview of factor-analytic techniques is given, followed by a description of some recent developments in factor-analytic techniques which make…
Descriptors: Educational Technology, Factor Analysis, Factor Structure, Matrices
Williams, John D.; Lindem, Alfred C. – 1974
Four computer programs using the general purpose multiple linear regression program have been developed. Setwise regression analysis is a stepwise procedure for sets of variables; there will be as many steps as there are sets. Covarmlt allows a solution to the analysis of covariance design with multiple covariates. A third program has three…
Descriptors: Analysis of Covariance, Analysis of Variance, Computer Programs, Multiple Regression Analysis
Carpenter, David W. – 1976
The purpose of this study was to evaluate both the written Department of Motor Vehicles (DMV) driver licensing test, and a large sample of driver knowledge test items selected from the University of Michigan's Highway Safety Research Institute (HSRI) item pool. Test forms were administered to 48,000 California drivers license applicants. The…
Descriptors: Certification, Evaluation, Item Banks, Predictor Variables
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
Peer reviewedVasu, Ellen Storey – Multiple Linear Regression Viewpoints, 1978
The construction and interpretation of confidence intervals for the prediction of new cases in multiple regression analysis is explained. An example is provided. (JKS)
Descriptors: Computer Programs, Data Analysis, Goodness of Fit, Multiple Regression Analysis
Tanur, Judith M.; Coser, Rose L. – AAUP Bulletin, 1978
It is hypothesized that three factors would predispose women in specifiable positions to lower-than-expected salaries: length of service, rank, and proportion of females in the field. A multiple regression technique is used. (LBH)
Descriptors: Females, Higher Education, Predictor Variables, Salary Wage Differentials
Peer reviewedCohen, Peter A. – Research in Higher Education, 1984
A meta-analytic method synthesized results of 108 studies of the relationship between college grades and various criteria of adult achievement or success. Results showed little correlation, although effects were larger for military settings and studies before 1950. The predictive value of grades is questioned. (MSE)
Descriptors: Academic Achievement, Adults, College Students, Comparative Analysis

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