Articles

Editors, publishers & webmasters: You may reprint these and other articles by Karen Grace-Martin free of charge. See our reprint guidelines for details.

Analysis of Variance

The Many Names of Independent Variables

General

Circular Statistics

Outliers: To Drop or Not To Drop?

Can Likert Scale Data ever be Continuous?

5 Steps for Calculating Sample Size

Four Questions you Must Answer to Choose the Appropriate Statistical Method

Linear Regression

The Many Names of Independent Variables 

Assessing the Fit of Regression Models 

Interpreting Regression Coefficients

Interpreting Interactions in Regression

Why ANOVA and Linear Regression are the Same Analysis

Logistic Regression

Introduction to Logistic Regression

The Many Names of Independent Variables

Logistic Regression Models for Multinomial and Ordinal Variables 

Missing Data

Missing Data Mechanisms

Limitations to Common Approaches to Missing Data

Recommended Solutions to Missing Data

Multiple Imputation in a Nutshell

Is Mean Imputation Really so Terrible?

Mixed and Multilevel Models

Specifying Fixed and Random Factors in Mixed or Multilevel Models

Multilevel Models with Crossed Random Effects 

Five Advantages of Running Repeated Measures ANOVA as a Mixed Model

Multivariate Analysis

Poisson and Negative Binomial Regression

Regresssion Models for Count Data

The Many Names of Independent Variables

REPRINT GUIDELINES

You may reprint these articles free of charge in your newsletter, magazine, or on your website, provided that they are unedited, and that the copyright, bio slug, and contact information below appears with each article. Articles appearing on the web must provide a hyperlink to our web site. Please provide us with a courtesy copy of the print or email issue containing the article, or the URL of any article posted to the web. All articles are authored by Karen Grace-Martin. If you wish to include a photo, you can find one here.

Copyright © 2008-2009, Karen Grace-Martin

Karen Grace-Martin, founder of The Analysis Factor, has helped social science researchers practice statistics for 9 years, as a statistical consultant at Cornell University and in her own business.  She knows the kinds of resources and support that researchers need to practice statistics confidently, accurately, and efficiently, no matter what their statistical background. To answer your questions, receive advice, and view a list of resources to help you learn and apply appropriate statistics to your data, visit www.analysisfactor.com.

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