Who is this course for?

It is designed for postgraduate students, early career researchers and practitioners planning to work with survey data in any discipline.

Course overview and aims

This course provides an introduction to the principles and practices of undertaking quantitative data analysis of survey data in SPSS. The course combines discussion, demonstration and hands-on exercises.

Please note: Participants will need access to SPSS in order to take part in the course.

Topics

Exploring phenomena of interest using quantitative measures
Types of numerical data: nominal, ordinal, interval and ratio variables
Introduction to the SPSS interface
Data entry
Setting up an SPSS project with example data
Getting to know the sample data using descriptive statistics
Recoding and combing variables
Describing the relationship between 2 variables
Moving beyond the descriptive: understanding hypothesis testing and p-values
Moving beyond the descriptive: running Chi-square, independent sample t-tests and ANOVAS
Moving beyond the bivariate: running and interpreting a linear regression analysis
Tips for writing up findings and tables

Learning objectives

By the end of the course, participants will be able to:

Input and import their data into SPSS
Explore and recode their key measures with confidence
Interpret results of bivariate descriptive analyses and report these clearly.
Set up a null hypothesis and interpret a p-value
Test the relationship between two variables using appropriate inferential statistics
Understand how to run and interpret a linear regression analysis.

Analysing Survey Data with SPSS

Follow this organiser to stay informed on future events

Events you might like

Principles and Practices of Quantitative Data Collection and AnalysisPrinciples and Practices of Quantitative Data Collection and Analysis

AI-Powered Data AnalysisAI-Powered Data Analysis

Principles and Practices of Quantitative Data Collection and Analysis

AI-Powered Data Analysis