Linear vs Logistic Regression
Choosing the Right Model for Your Data Picking the wrong regression model is one of the most common and most damaging mistakes in quantitative research. And it usually happens not because the researcher does not care, but because the choice between linear and logistic regression seems less important than it is. Both involve regression. Both […]
Regression Analysis Gone Wrong
7 Mistakes to Avoid in Your Thesis Regression analysis is one of the most powerful tools in academic research. Yet it is also one of the most misused. Every year, thousands of thesis submissions carry quietly flawed models p-values celebrated without context, assumptions skipped, and conclusions drawn from shaky foundations. If you are writing a […]