Course Outline

  • Introduction
  • Dataset & Resources
  • Conceptual Foundation of Statistics
  • Data Entry: Learning to Enter Data in SPSS
  • Working with Various File Types in SPSS
  • Data Transformation in SPSS: RECODE and Other Transformation Functions
  • Descriptive Statistics using SPSS
  • Advanced Descriptive Statistics in SPSS
  • Independent Sample t-test: Comparing Two Independent Group Means
  • Paired Sample t-test: Comparing Differences between Two Correlated Group Means
  • One-Way ANOVA: Comparing Differences between More than Two Groups
  • Linear Regression: Cause and Effect Analysis of One IV on One DV
  • Multiple Regression: Causal Effect of Many IVs on One DV
  • Hierarchical Regression Analysis
  • Exploratory Factor Analysis
  • Chi-Square Test
  • Reliability Analysis
  • Graphical Presentation & Data Visualization in SPSS
  • Logistic Regression
  • Moderation and Mediation Analysis using PROCESS Macro
  • General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)
  • One-Way Repeated Measure ANOVA
  • Correlations
  • Measures of Association
  • Bug Fixing in SPSS
  • ANCOVA: One-Way Analysis of Covariance
  • MANOVA (Multivariate Analysis of Variance)
  • Python for SPSS Users
  • Ratio Statistics in SPSS
  • TURF Analysis in SPSS
  • Advanced data Visualization in SPSS
  • Survival Analysis
  • Meta Analysis
  • Assignments

Requirements

  • The course is built from scratch so no prior knowledge of SPSS or Statistics is required. We cover all the required details in the course both theory and practical part.
  • The learners must have a copy of SPSS software to practise the steps taught in this course.
 35 Hours

Testimonials (4)

Upcoming Courses

Related Categories