Course Description

Statistics for Beginners

This session will cover some of the basics relating to quantitative analysis, including hypotheses, independent and dependent variables, levels of measurement and descriptive statistics. All explained in a user-friendly, easy to understand way!

This session is aimed at those new to quantitative analysis.


Quick Introduction to Statistical Testing

If a t-test sounds like something you’d do to test the strength of your cuppa and you don’t know your ANOVA from your correlation, then this is the perfect session for you! We’ll cover some of the basic principles of statistical testing and provide a quick overview of some of the commonly used tests, including t-tests, ANOVA, correlation, regression, and non-parametric statistics.

This session is aimed at those new to quantitative analysis – Statistics for Beginners (or equivalent knowledge) is a prerequisite.


SPSS Quick Start

SPSS is one of the most user-friendly statistics applications on the market. This session will help you get to grips with the basics of SPSS. You’ll learn how to successfully set-up SPSS data files and run basic statistical analyses (including graphs). We’ll also cover how to move data and output between SPSS and Excel, and how to move your analyses across into Microsoft Word, ready for you to write them up.

This session is aimed at researchers who are new to SPSS.


Diving Deeper Into SPSS

This session covers intermediate-level content relating to SPSS. We’ll discuss variable and file manipulations, working with multiple response data, merging files and SPSS syntax, along with some of our favourite tips and tricks for working with SPSS.

This session is for researchers who are experienced with SPSS or who have watched the 'SPSS Quick Start' session.


Running Analyses with SPSS

This practical session will demonstrate how to run some of the more commonly used statistical tests in SPSS such as t-tests, ANOVA, correlation and chi-square. We’ll also briefly cover some useful descriptive statistics along the way. Rather than just showing the menu clicks in SPSS, we’ll also be discussing how to interpret the results of your analysis and will provide some tips for writing up.

Prerequisites for this session are 'SPSS Quick Start' and 'Quick Introduction to Statistical Testing' (or equivalent knowledge).

Course Outline

Approximate Length: 6 hours

  • 1

    Welcome to Statistical Analysis with SPSS

    • About this Training: Read Me First

  • 2

    Statistics for Beginners

    • Key Concepts

    • Descriptive Statistics and Normality

    • Downloads for Statistics for Beginners

    • Statistics for Beginners Quiz

  • 3

    Quick Introduction to Statistical Testing

    • Introduction to Statistical Testing

    • Parametric Tests - Comparing Means

    • Correlation

    • Non-Parametric Tests

    • Statistical Testing Quiz

    • Downloads for Quick Introduction to Statistical Testing

  • 4

    SPSS Quick Start

    • Introduction

    • Working with Data

    • Creating a New Data File

    • Variable Manipulations

    • Running Analyses

    • Downloads for SPSS Quick Start

  • 5

    Diving Deeper into SPSS

    • Variable Manipulations (Extended)

    • SPSS Tips and Tricks

    • Multiple Response Data

    • Downloads for Diving Deeper into SPSS

  • 6

    Running Analyses with SPSS

    • Introduction

    • Cleaning and Screening Data

    • Parametric Tests

    • Non-Parametric Tests

    • Downloads for Running Analyses with SPSS