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significance testing

Should Confidence Intervals or Tests of Significance be Used?

by Christos Giannoulis Leave a Comment

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.

[Read more…] about Should Confidence Intervals or Tests of Significance be Used?

Tagged With: confidence interval, p-value, sampling error, significance testing, statistical significance

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Differences in Model Building Between Explanatory and Predictive Models

by Jeff Meyer 8 Comments

by 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? [Read more…] about Differences in Model Building Between Explanatory and Predictive Models

Tagged With: explanatory models, Model Building, overfitting, predictive models, predictors, significance testing, Training Data, validation data

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