A Comparison of Ordinary Least Squares and Logistic Regression

By John T. Pohlman, D. Leitner. 2003

216 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

CEO gender, executive compensation and firm performance in Chinese‐listed enterprises (2013, unknown): “As explained in Pohlman and Leitner (2003), such an approach tends to Yield Similar effects of significance as logistic regression.”
Validating NSSE Against Student Outcomes: Are They Related? (2008, methodology): “While atypical, using OLS on dichotomous measures may be employed in exploration (Menard, 1995), and can provide a reasonable approximation of the associations involved (Pohlman and Leitner, 2003).”
Focused identification of germplasm strategy (FIGS) detects wheat stem rust resistance linked to environmental variables (2011, background): “The logit stands for the logarithmic equation (Pohlmann and Leitner 2003): logitðpÞ ¼ ln p=1 À p ð Þ¼b 0 þ X n i¼1 b i X i which in turn leads to the mathematical expression of p ¼ exp b 0 þ P n i¼1 b i X i À Á 1 þ exp b 0 þ P n i¼1 b i X i À Á and this transformation assumes a linear relationship…”