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Jeffords, Charles R. – International Journal of Aging and Human Development, 1983
Examines one's fear of crime while walking in the neighborhood, and in one's home. Results showed age was positively associated with fear of crime in the former situation, but slightly negatively associated in the latter. Suggested that the aged may only be more fearful of crime in particularly dangerous situations. (JAC)
Descriptors: Age Differences, Crime, Fear, Neighborhoods
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Wiggins, James; And Others – American Mental Health Counselors Association Journal, 1983
Surveyed 126 married couples to study factors related to marital satisfaction. Results showed personality compatibility was a major factor in satisfaction. Individuals whose spouses were more accurate in perceiving their satisfaction and those in relationships with a previous marriage were also more satisfied. (JAC)
Descriptors: Congruence (Psychology), Marital Satisfaction, Personality, Predictor Variables
Blankmeyer, Eric – Online Submission, 2006
Researchers in education and the social sciences make extensive use of linear regression models in which the dependent variable is continuous-valued while the explanatory variables are a combination of continuous-valued regressors and dummy variables. The dummies partition the sample into groups, some of which may contain only a few observations.…
Descriptors: Social Sciences, Regression (Statistics), Computation, Models
Thayer, Jerome D. – 2002
This paper identifies specific problems with stepwise regression, notes criticisms of stepwise methods by statisticians, suggests appropriate ways in which stepwise procedures can be used, and gives examples of how this can be done. Although the stepwise method has been routinely criticized by statisticians, it is still frequently used in the…
Descriptors: Data Analysis, Predictor Variables, Regression (Statistics), Research Methodology
Mundfrom, Daniel J.; Whitcomb, Alan – 1998
Data from records of 99 patients were used to classify cardiac patients as to whether they were likely or unlikely to experience a subsequent morbid event after admission to a hospital. Both a linear discriminant function and a logistic regression equation were developed using a set of nine predictor variables that were chosen on the basis of…
Descriptors: Classification, Heart Disorders, Patients, Predictor Variables
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Noeth, Richard J.; And Others – Journal of Educational Research, 1974
Descriptors: Academic Achievement, Predictor Variables, Success, Testing
Uhl, Norman; Eisenberg, Terry – Educ Psychol Meas, 1970
Lord's relatively unknown formula, based on the expected cross-sample, is shown to be superior to either of Wherry's formulas, which are based on the expected universe. (GS)
Descriptors: Correlation, Prediction, Predictive Validity, Predictor Variables
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Elliott, Arthur – Alberta Journal of Educational Research, 1971
Descriptors: Predictor Variables, Teacher Education, Teacher Effectiveness, Teacher Qualifications
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Friedman, Sally; Weisberg, Herbert F. – Educational and Psychological Measurement, 1981
The first eigenvalue of a correlation matrix indicates the maximum amount of the variance of the variables which can be accounted for with a linear model by a single underlying factor. The first eigenvalue measures the primary cluster in the matrix, its number of variables and average correlation. (Author/RL)
Descriptors: Correlation, Mathematical Models, Matrices, Predictor Variables
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Dutoit, Eugene F.; Penfield, Douglas A. – Educational and Psychological Measurement, 1979
Assuming a multiple linear regression model with q independent variables, a procedure is developed for determining the minimum statistically significant increase in the multiple correlation coefficient when an additional independent variable is considered for regression. The procedure is presented analytically and in table form. Examples are…
Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Tables (Data)
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Greener, Jack M.; Osburn, H. G. – Educational and Psychological Measurement, 1980
Corrections for restriction in range due to explicit selection assume linearity of regression and homoscedastic array variances. A Monte Carlo study was conducted to examine the effects of some common forms of violation of these assumptions. (Author/CP)
Descriptors: Correlation, Error of Measurement, Predictor Variables, Statistical Bias
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Hagan, Michael P.; King, Sandra L. – Journal of Offender Rehabilitation, 1997
Analyzed two prison psychologists' accuracy of predictions of criminality to see how reliably such predictions could be made. Results indicate that the psychologists, using clinical judgment alone, accurately identified a subpopulation significantly more likely to engage in future acts of violence within a one-year follow-up period. (RJM)
Descriptors: Adolescents, Antisocial Behavior, Delinquency, Predictor Variables
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Knapp, Thomas R. – Mid-Western Educational Researcher, 1996
Semipartial correlation is one of several ways of determining the relative importance of independent variables in a multiple regression analysis. A veteran teacher of statistics and related topics explains his reasons for avoiding semipartial correlations. (SV)
Descriptors: Correlation, Multiple Regression Analysis, Predictor Variables, Research Methodology
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Sexton, Randall S.; Johnson, Richard A.; Hignite, Michael A. – Internet Research, 2002
Describes a study that analyzed variables in order to identify accurate predictors of individuals' use of the Internet and e-commerce. Results of survey research and a neural network identifies gender, overall computer use, job-related use, and home access as important characteristics that should influence use of the Internet and e-commerce.…
Descriptors: Computer Use, Gender Issues, Internet, Predictor Variables
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Morato, Jorge; Llorens, J.; Genova, G.; Moreiro, J. A. – Information Processing & Management, 2003
Discusses the inclusion of contextual information in indexing and retrieval systems to improve results and the ability to carry out text analysis by means of linguistic knowledge. Presents research that investigated whether discourse variables have an impact on information and retrieval and classification algorithms. (Author/LRW)
Descriptors: Algorithms, Classification, Indexing, Information Retrieval
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