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Using Log-Linear Models in Higher Education Research.
Peer reviewed Peer reviewed
Hinkle, Dennis E.; And Others – New Directions for Institutional Research, 1988
The data collected in higher education research are not always quantitative or continuous. Statistical methods using the log-linear model provide the institutional researcher with a powerful set of tools for addressing research questions when data are categorical. (Author/MSE)
Descriptors: Data Interpretation, Higher Education, Information Utilization, Institutional Research
Applying Regression Analysis to Problems in Institutional Research.
Peer reviewed Peer reviewed
Bohannon, Tom R. – New Directions for Institutional Research, 1988
Regression analysis is one of the most frequently used statistical techniques in institutional research. Principles of least squares, model building, residual analysis, influence statistics, and multi-collinearity are described and illustrated. (Author/MSE)
Descriptors: Guidelines, Higher Education, Institutional Research, Least Squares Statistics
Causal Modeling for Institutional Researchers.
Peer reviewed Peer reviewed
Moline, Arlett E. – New Directions for Institutional Research, 1988
Path analysis and linear structural relations (LISREL) provide the institutional researcher with some extremely powerful statistical tools. However, they must be applied and interpreted carefully with a full understanding of their limitations and the statistical assumptions on which they are based. (Author)
Descriptors: Data Interpretation, Higher Education, Institutional Research, Models