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Peer reviewedHay, Dale F.; Ross, Hildy S. – Child Development, 1982
Investigates whether disputes arising between 21-month-old children, meeting for the first time in a laboratory playroom, showed one or more of the following social hallmarks: (1) a patterned interactive structure, (2) explicitly communicative content, including conventional gestures and intelligible speech, and (3) antecedent and consequent…
Descriptors: Conflict, Infant Behavior, Peer Influence, Predictor Variables
Peer reviewedKopp, Claire B.; Vaughn, Brian E. – Child Development, 1982
In order to test later cognitive status from infant behavioral performance, 76 preterm infants were assessed with respect to differences in sustained attention when they were eight months old. The measure of sustained attention proved to contribute significantly to the prediction of later status on the Bayley Mental Scale and on the Gessell…
Descriptors: Attention, Cognitive Ability, Individual Differences, Infants
Peer reviewedHovanitz, Christine A.; Gynther, Malcolm D. – Journal of Clinical Psychology, 1980
Assessed the relative predictive validity of obvious (O), neutral (N), and subtle (S) items of the MMPI MA scale for 86 males. Subtle-obvious ratings were compared to criteria in questionnaire, life-history, and objective tests. Correlations among the criteria were generally insignificant, suggesting that hypomania is not a homogeneous construct.…
Descriptors: Behavior Patterns, Conceptual Tempo, Predictive Validity, Predictor Variables
Peer reviewedUdry, J. Richard – Journal of Marriage and the Family, 1981
Explores the usefulness of "marital alternatives" as a dimension in explaining marital stability, using longitudinal data from a panel of married, White, urban couples from 16 urban areas. Results indicated the dimension of marital alternatives appeared to be a better predictor of marital disruption than marital satisfaction. (Author/RC)
Descriptors: Attitudes, Economic Factors, Longitudinal Studies, Marital Instability
Peer reviewedLuftig, Jeffrey T.; Norton, Willis P. – Journal of Epsilon Pi Tau, 1981
This article examines simple and multiple regression analysis as forecasting tools, and details the process by which multiple regression analysis may be used to increase the accuracy of the technology forecast. (CT)
Descriptors: Computer Programs, Data Analysis, Multiple Regression Analysis, Prediction
Peer reviewedPohlmann, John T. – Multiple Linear Regression Viewpoints, 1979
The type I error rate in stepwise regression analysis deserves serious consideration by researchers. The problem-wide error rate is the probability of selecting any variable when all variables have population regression weights of zero. Appropriate significance tests are presented and a Monte Carlo experiment is described. (Author/CTM)
Descriptors: Correlation, Error Patterns, Multiple Regression Analysis, Predictor Variables
Peer reviewedMcGuire, Joseph P.; Leak, Gary K. – Journal of Clinical Psychology, 1980
Prior theory and research have suggested that self-disclosure may have a curvilinear relationship with psychological disturbance. The present study investigated this hypothesis. Results offer partial support for the hypothesis and add substantially to the external validity of prior research. (Author)
Descriptors: Criminals, Emotional Disturbances, Males, Personality Assessment
Peer reviewedMorris, John D.; And Others – Journal of Experimental Education, 1979
Three traditional methods of selection of variables to be included in a "best" regression equation are compared to a method designed to maximize weight validity. Implications for constructing regression equations for prediction are discussed, with consideration of the weight validity maximization method recommended in crucial situations.…
Descriptors: Academic Achievement, High Schools, Multiple Regression Analysis, Predictor Variables
Peer reviewedRoe, Robert A. – Educational and Psychological Measurement, 1979
Since actual selection can be different from the selection as it is intended, a method is described for clarifying "restriction of range" problems in developing selection/prediction equations. The application of the method is illustrated in a case study. (Author/JKS)
Descriptors: Goodness of Fit, Multiple Regression Analysis, Predictor Variables, Selection
Peer reviewedCarmody, Francis J.; And Others – Children Today, 1979
Proposes a prevention program based on public relations, outreach interviews, education and training. Also discussed are paternal involvement, hospital visitation, home visitation, and adjunct activities. (RH)
Descriptors: Child Abuse, Child Neglect, Military Personnel, Predictor Variables
Peer reviewedMcNeil, Keith; And Others – Multiple Linear Regression Viewpoints, 1979
The utility of a nonlinear transformation of the criterion variable in multiple regression analysis is established. A well-known law--the Pythagorean Theorem--illustrates the point. (Author/JKS)
Descriptors: Geometric Concepts, Multiple Regression Analysis, Predictor Variables, Technical Reports
Peer reviewedFowler, Gilbert Len, Jr. – Journalism Quarterly, 1979
Concludes that the only significant factors explaining the amount of political news published by the Arkansas daily press during the 1972 senatorial primary election campaign were the size of the daily news hole and the number of wire services a newspaper used. (GT)
Descriptors: Content Analysis, Media Research, News Reporting, Newspapers
Peer reviewedBooth, Richard F.; Norton, Richard S. – Educational and Psychological Measurement, 1976
Usefulness of the Comrey Validity Check scale score as an index of random or indiscriminate responding to the Comrey Personality Scales was evaluated on a large sample of Navy paramedical personnel. Tables are presented and implications are discussed. (Author/JKS)
Descriptors: Personality Assessment, Predictor Variables, Response Style (Tests), Test Reliability
Elshout, Jan – Tijdschrift voor Onderwijsresearch, 1977
To be able to conclude anything firm about either a predictor or a criterion from the correlation between the two, a whole range of conditions must be met. Those conditions, which are in effect predictors of validity, are discussed, with the emphasis on the educational situation. (Author)
Descriptors: Academic Achievement, Predictive Measurement, Predictive Validity, Predictor Variables
Peer reviewedCampbell, John B.; Chun, Ki-Taek – Applied Psychological Measurement, 1977
A multiple regression approach is used to assess the feasibility of reciprocal prediction between the Sixteen Personality Factor Questionnaire scales and the California Psychological Inventory scales (i.e., the prediction of each 16PF scale from the CPI scales and of each CPI scale from the 16PF scales). (RC)
Descriptors: Correlation, Multiple Regression Analysis, Personality Measures, Prediction


