Your Statistical Tool Belt

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Date
2014-09-05 (Creation date: 2014-09-05)
Main contributor
Stephanie Dickinson
Summary
This 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. We will spend the first hour outlining ‘what analysis to use when’ and the second hour going through an example dataset in SPSS software “Comparing motivations for shopping at Farmer’s markets, CSA’s, or neither.” Bring your own data set to work along also.
Publisher
IU Workshop in Methods
Collection
Workshop in Methods
Unit
Social Science Research Commons
Related Item
Accompanying materials on IU ScholarWorks 
Notes

Performers

Stephanie Dickinson is a senior consultant and managing director of the IU Statistical Consulting Center (ISCC).

Access Restrictions

This item is accessible by: the public.