Introduction to SPSS for Data Analysis

Beginner
6 sections
39 topics
Duration: 12 weeks

N70000

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What you'll learn

  • SPSS navigation, data import, and preparation.
  • Explore descriptive statistics, data visualization, and basic inferential statistics.
  • Dive into correlation, regression, ANOVA, and gain practical skills in interpreting SPSS output.

Course content

  • Introduction to statistical analysis
  • Overview of SPSS interface and functionalities
  • Installing SPSS and Setting Up a Project
  • Installing SPSS software
  • Creating a new project
  • Understanding data files and formats
  • Importing Data into SPSS
  • Importing data from different file formats (Excel, CSV)
  • Checking and cleaning data during import

  • Data Inspection and Variable Types
  • Examining data variables and types
  • Handling missing values
  • Descriptive Statistics in SPSS
  • Calculating measures of central tendency and dispersion
  • Generating frequency distributions
  • Data Visualization in SPSS
  • Creating basic charts (bar charts, histograms)
  • Customizing visualizations

  • Introduction to Inferential Statistics
  • Understanding the difference between descriptive and inferential statistics
  • T-Tests in SPSS- Independent samples t-test
  • Paired samples t-test
  • Analysis of Variance (ANOVA)
  • One-way ANOVA
  • Post-hoc tests

  • Introduction to Non-Parametric Tests
  • When to use non-parametric tests
  • Mann-Whitney U Test
  • Independent samples non-parametric test
  • Wilcoxon Signed-Rank Test
  • Paired samples non-parametric test

  • Correlation Analysis in SPSS
  • Pearson correlation coefficient
  • Spearman rank correlation
  • Regression Analysis in SPSS
  • Simple linear regression
  • Multiple linear regression

  • Final Project
  • Students work on a small data analysis project using SPSS

Requirements

No prior SPSS experience is required

Description

This course introduces participants to SPSS, a widely used tool for statistical analysis. Topics include data preparation, descriptive and inferential statistics, hypothesis testing, correlation/regression analysis, data visualization, and ethical considerations.

Who this course is for:

This course is designed for anyone interested in acquiring or enhancing their skills in data analysis using SPSS. It is suitable for beginners as well as individuals looking to strengthen their proficiency in statistical analysis and data interpretation.