Beyond Statistics: A Practical Guide to Data Analysis

A practical introduction to terms, concepts, and processes of data analysis, introducing operations common to all statistical software.

This text fills the gap between what students learn about research methods and statistics and what they don't learn about actually working with data, including data entry, data cleaning, finding errors, organizing data, transforming variables, and combining and aggregating data sets. It provides a useful vocabulary for thinking and talking about data and demystifies statistical software by showing readers how to think about data from the computer's perspective.