What is a Confidence Interval?
Any sample-based findings used to generalize a population are subject to sampling error. In other words, sample statistics won’t exactly match the population parameters they estimate.
significance testing
Should Confidence Intervals or Tests of Significance be Used?
December 20th, 2019 by Christos GiannoulisDifferences in Model Building Between Explanatory and Predictive Models
October 8th, 2018 by Jeff Meyerby Jeff Meyer, MPA, MBA
Suppose you are asked to create a model that will predict who will drop out of a program your organization offers. You decide to use a binary logistic regression because your outcome has two values: “0” for not dropping out and “1” for dropping out.
Most of us were trained in building models for the purpose of understanding and explaining the relationships between an outcome and a set of predictors. But model building works differently for purely predictive models. Where do we go from here? (more…)