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 Duration 35 hours

Course Outline

  • Introduction
  • Dataset & Resources
  • Foundational Concepts in Statistics
  • Data Entry: Procedures for Inputting Data in SPSS
  • Managing Diverse File Formats in SPSS
  • Data Transformation in SPSS: RECODE and Supplementary Functions
  • Descriptive Statistics in SPSS
  • Advanced Descriptive Statistics in SPSS
  • Independent Samples t-test: Assessing Mean Differences Across Two Unrelated Groups
  • Paired Samples t-test: Evaluating Mean Differences in Two Related Groups
  • One-Way ANOVA: Assessing Mean Differences Across Multiple Groups
  • Linear Regression: Analyzing the Impact of a Single Independent Variable on a Dependent Variable
  • Multiple Regression: Analyzing the Impact of Multiple Independent Variables on a Dependent Variable
  • Hierarchical Regression Analysis
  • Exploratory Factor Analysis
  • Chi-Square Test
  • Reliability Analysis
  • Graphical Presentation & Data Visualization in SPSS
  • Logistic Regression
  • Moderation and Mediation Analysis via PROCESS Macro
  • General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)
  • One-Way Repeated Measures ANOVA
  • Correlation Analysis
  • Measures of Association
  • Troubleshooting and Error Resolution in SPSS
  • ANCOVA: One-Way Analysis of Covariance
  • MANOVA (Multivariate Analysis of Variance)
  • Python Integration for SPSS Users
  • Ratio Statistics in SPSS
  • TURF Analysis in SPSS
  • Advanced Data Visualization in SPSS
  • Survival Analysis
  • Meta-Analysis
  • Assignments

Requirements

  • The curriculum is structured from first principles, requiring no prior knowledge of SPSS or statistics. Both theoretical foundations and practical applications are covered within the course for government learners.
  • Learners must possess a licensed copy of SPSS software to practice the procedures demonstrated in this course.

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