SPSS for Quantitative Data Analysis

Categories: Academic
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About Course

This course teaches learners how to use SPSS for quantitative data analysis in academic research, business, health, education, social science, and survey-based studies. It covers the full workflow from data entry and cleaning to descriptive statistics, hypothesis testing, correlation, regression, reliability testing, and reporting results. The focus is practical. Learners will not just click menus; they will understand what each analysis means, when to use it, and how to interpret the output correctly.

What Will You Learn?

  • Understand the role of SPSS in quantitative research
  • Create and manage datasets in SPSS
  • Define variables correctly
  • Enter, import, clean, and transform data
  • Run descriptive statistics
  • Create tables and graphs
  • Test reliability using Cronbach’s alpha
  • Conduct correlation and regression analysis
  • Perform t-tests, chi-square tests, and ANOVA
  • Choose the correct statistical test for a research problem
  • Interpret SPSS output correctly
  • Report results in academic and professional formats

Course Content

Introduction to SPSS for Quantitative Data Analysis

  • Variable view
  • Data view
  • Output view

Data Entry and importing

Descriptive Data Analysis

Comparing means

Association (Chi-square) and Correlation

Regression Analysis

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Skills-Data Academy equips learners and professionals with career-focused skills for a data-driven world.

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