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Introduction to SPSS


Welcome to the "Introduction to SPSS" course! This comprehensive tutorial series is designed to equip you with the fundamental skills needed to effectively use IBM SPSS for statistical analysis. From setting up your variables to performing complex regressions, we cover essential topics to kickstart your data analysis journey.

Course Topics Covered:

  • Variable Setting and Measurement: Learn how to define and set up variables correctly in SPSS, including understanding different measurement levels.
  • Dataset Import & Basic Operations: Master importing datasets, creating frequency tables, generating various graphs, and performing essential data transformations like recoding and computing new variables.
  • Descriptive Statistics & Logical Operators: Explore how to calculate and interpret descriptive statistics, and utilize logical operators for data selection and filtering.
  • Visualizing Relationships: Understand how to create informative scatterplots and line graphs to visualize relationships within your data.
  • Multiple Linear Regression Analysis: Dive into performing and interpreting multiple linear regression models, a powerful tool for predictive analysis.
  • Polynomial Regression: Learn the basics of polynomial regression for modeling non-linear relationships between variables.

Lecture 1: Variable Setting & Measurement in SPSS

This video guides you through the crucial first steps in SPSS: correctly defining and setting up your variables, and understanding their measurement properties. A foundational lesson for any data analysis.

Lecture 2: Data Import, Tables, Graphs & Transformations

Learn how to import your datasets into SPSS, generate frequency tables for categorical data, create various types of graphs, and perform essential data manipulations like recoding and computing new variables.

Lecture 3: Descriptive Statistics & Visualizations

This session focuses on understanding and calculating descriptive statistics to summarize your data. You'll also learn to use logical operators and create insightful scatterplots and line graphs.

Lecture 4: Multiple Linear & Polynomial Regression

Dive into the world of regression analysis with this video. It covers how to perform and interpret multiple linear regression, and introduces polynomial regression for modeling non-linear relationships.