A guide to quantitative methods
The purpose of the guide is to provide both basic understanding of statistical concepts as well as practical tools to analyse quantitative data in SPSS.
There are no mathematical equations in this guide and it is limited to aspects that are fundamental for conducting research. It contains everything from descriptive statistics to advanced regression analysis. As such, it can be useful for both practitioners as well as for students at the undergraduate level, the advanced level, and the doctoral level.
This guide is free for anyone to use and distribute. Any questions, inqueries, or reporting of errors in the guide may be directed to Ylva B Almquist.
Table of contents (lastest version)
Introduction
- The SPSS environment
- Basic statistical concepts
- Descriptive statistics
- Producing descriptive statistics in SPSS
- Other useful features in SPSS
- Statistical significance
- Compare means
- Chi square
- Correlation analysis
- Factor analysis
- X, Y and Z
- Preparations for regression analysis
- Linear regression
- Logistic regression
- Ordinal regression
- Multinomial regression
- Interaction analysis
Example data used in the guide
SPSS_data1 (1840 Kb)
SPSS_data2 (9330 Kb)
Contact
This guide is free for anyone to use and distribute. Any questions, inqueries, or reporting of errors in the guide may be directed to Ylva B Almquist.
Last updated: January 22, 2021
Source: Department of Public Health Sciences