Your Statistical Toolbelt
2016-10-28 (Creation date: 2016-10-28)
- Main contributor
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
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Stephanie Dickinson is a Senior Statistical Consultant with the Biostatistics Consulting Center.
This item is accessible by: the public.