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Direct linkMiller, Jason W.; Stromeyer, William R.; Schwieterman, Matthew A. – Multivariate Behavioral Research, 2013
The past decade has witnessed renewed interest in the use of the Johnson-Neyman (J-N) technique for calculating the regions of significance for the simple slope of a focal predictor on an outcome variable across the range of a second, continuous independent variable. Although tools have been developed to apply this technique to probe 2- and 3-way…
Descriptors: Social Sciences, Regression (Statistics), Predictor Variables, Hierarchical Linear Modeling
Strayhorn, Terrell L. – Journal of College Student Development, 2014
The purpose of the study was to estimate the relationship between academic achievement in college, as defined by first-year grade point average (GPA), and self-authorship among African American first-year students at an HBCU (N = 140), using hierarchical linear regression techniques. A single research question guided this investigation: What is…
Descriptors: African American Students, Academic Achievement, Success, College Freshmen
