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Kerwin, Mary Louise E.; And Others – Counseling Psychologist, 1987
Describes the strengths and weaknesses of a new type of multivariate technique, covariance structure analysis (LISREL). Provides a detailed example which shows how the use of covariance structure analysis can improve research sophistication and theory development in counseling psychology. (Author/ABB)
Descriptors: Counseling, Multiple Regression Analysis, Multivariate Analysis, Psychology
Peer reviewed Peer reviewed
Wampold, Bruce E. – Counseling Psychologist, 1987
Comments on Kerwin et al.'s article on covariance structure analysis (LISREL). Cautions that much effort must be made in developing the theory that describes the relationships among constructs and in establishing the measurement of these constructs before covariance structure is used. (ABB)
Descriptors: Counseling, Multiple Regression Analysis, Multivariate Analysis, Psychology
Wiley, David E.; Hornik, Robert – 1973
Early procedures for the analysis of multivariate panel data do not rest on well-specified statistical models. Recent approaches based on path analysis suffer from the defects of variable standardization and lack of attention to measurement error. The paper formulates a measurement model for quantitatively scaled multivariate panel data. The model…
Descriptors: Data Analysis, Error of Measurement, Longitudinal Studies, Mathematical Models
Richard, James M., Jr. – 1979
This report examines the difference in approaches between sociologists and psychologists when using multiple regression techniques in the analysis of behavioral data. Psychologists and sociologists are often divided in their orientation toward regression techniques, and this division could be a substantial and unfortunate barrier to communication…
Descriptors: Comparative Analysis, Data Analysis, Differences, Error of Measurement
Peer reviewed Peer reviewed
Liu, Richard – College Student Journal, 1981
Discusses multiple regression, a very popular statistical technique in the field of education. One of the basic assumptions in regression analysis requires that independent variables in the equation should not be highly correlated. The problem of multicollinearity and some of the solutions to it are discussed. (Author)
Descriptors: Educational Research, Higher Education, Multiple Regression Analysis, Predictor Variables
Peer reviewed Peer reviewed
Yunker, James A. – Crime and Delinquency, 1982
Reviews several potential problems that often invalidate statistical tests of social theories. Discusses how there may be very serious identification problems in the estimation of the relationship between executions and homicides, and that serious questions may be raised regarding the validity of any particular estimation of this relationship.…
Descriptors: Capital Punishment, Identification, Information Needs, Models
Nelson, Dale C. – 1977
Although ethnicity has generally been relegated to secondary status as an explanatory factor in urban political participation studies, this research hypothesizes that ethnicity plays a major role in determining communal political participation. Communal participation is defined as participation in which the individual acts in concert with or on…
Descriptors: Citizen Participation, Community Study, Cultural Pluralism, Data Analysis