Your Statistical Toolbelt

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2016-10-28 (Creation date: 2016-10-28)
Main contributor
Dickinson, Stephanie
This introductory workshop will give an overview of how to identify what types of data analysis tools to use for a project, along with basic “DIY” instructions. We will discuss the most common analysis tools for describing your data and performing significance tests (ANOVA, Regression, Correlation, Chi-square, etc), and how they should be selected based on the type of data and the type of research question you have. This is geared towards students or faculty beginning their foray into quantitative analysis of research data, or those who have been around but would like to step back and get a framework for how to navigate basic statistical methods.
Indiana University Workshop in Methods
Workshop in Methods; SPSS; statistical methods; data analysis
Workshop in Methods
Social Science Research Commons
Related Item
Accompanying materials on IUScholarWorks 


Stephanie Dickinson is a Senior Statistical Consultant with the Biostatistics Consulting Center.

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