SPSS Statistics Essential Training

Course details

SPSS is a common menu-driven statistical application used in the social sciences, education, and business. In this course, data analytics expert Barton Poulson shows you how to analyze data in ways that are difficult or impossible in spreadsheets, without requiring the full learning curve of a programming language like Python or R. Learn how to navigate SPSS, use sample datasets, set options and preferences, and more. Go over data visualization and data wrangling. Learn about recoding data and explore it using computing frequencies, computing descriptives, exploratory data analysis, computing correlations, and computing contingency tables. Go over ways to analyze data, including comparing proportions, comparing multiple means, computing a linear regression, and much more. Plus, learn how to share your work by exporting charts and tables.

Concepts

0. Introduction

01 - Welcome to SPSS
02 - Using the exercise files

1. What Is SPSS

03 - SPSS in context
04 - Versions, releases, licenses, and interfaces

2. Getting Started

05 - Navigating SPSS
06 - Sample datasets
07 - Data types, measures, and roles
08 - Options and preferences
09 - Saving and running syntax files

3. Data Visualization

10 - Visualizing data with Graphboard Templates
11 - Using legacy dialogs - Boxplots for multiple variables

4. Data Wrangling

12 - Importing data
13 - Variable labels
14 - Value labels

5. Recoding Data

15 - Recoding variables
16 - Reversing values with syntax
17 - Computing scores

6. Exploring Data

18 - Computing frequencies
19 - Computing descriptives
20 - Exploratory data analysis
21 - Computing correlations
22 - Computing contingency tables

7. Analyzing Data

23 - Comparing proportions
24 - Comparing one mean to a population - One-sample T test
25 - Comparing paired means - Paired-samples T test
26 - Comparing two means - Independent-samples T test
27 - Comparing multiple means - One-Way ANOVA
28 - Comparing means with two categorical variables - ANOVA
29 - Computing a linear regression

8. Sharing Your Work

30 - Exporting charts and tables

9. Continuing Your SPSS Learning Journey

31 - Next steps and additional resources