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LinkedIn Learning

SPSS Statistics Essential Training

via LinkedIn Learning

Overview

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Learn all the essentials of using SPSS, a statistical software suite for data management and advanced analytics.

Syllabus

Introduction
  • Welcome to SPSS
  • Using the exercise files
1. What Is SPSS?
  • SPSS in context
  • Versions, releases, licenses, and interfaces
2. Getting Started
  • Navigating SPSS
  • Sample datasets
  • Data types, measures, and roles
  • Options and preferences
  • Saving and running syntax files
3. Data Visualization
  • Visualizing data with Graphboard Templates
  • Using legacy dialogs: Boxplots for multiple variables
4. Data Wrangling
  • Importing data
  • Variable labels
  • Value labels
5. Recoding Data
  • Recoding variables
  • Reversing values with syntax
  • Computing scores
6. Exploring Data
  • Computing frequencies
  • Computing descriptives
  • Exploratory data analysis
  • Computing correlations
  • Computing contingency tables
7. Analyzing Data
  • Comparing proportions
  • Comparing one mean to a population: One-sample T test
  • Comparing paired means: Paired-samples T test
  • Comparing two means: Independent-samples T test
  • Comparing multiple means: One-Way ANOVA
  • Comparing means with two categorical variables: ANOVA
  • Computing a linear regression
8. Sharing Your Work
  • Exporting charts and tables
9. Continuing Your SPSS Learning Journey
  • Next steps and additional resources

Taught by

Barton Poulson

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