Get in Touch

Course Outline

  • Introduction
  • Dataset & Resources
  • Statistical Foundations
  • Data Entry: Mastering Data Input in SPSS
  • Working with Various File Types in SPSS
  • Data Transformation in SPSS: RECODE and Other 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 among Multiple Groups
  • Linear Regression: Analyzing the Effect of One Independent Variable on One Dependent Variable
  • Multiple Regression: Assessing the Causal Impact of Multiple Independent Variables on One 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 using PROCESS Macro
  • General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)
  • One-Way Repeated Measure ANOVA
  • Correlations
  • Measures of Association
  • Troubleshooting and 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

  • This course is designed for beginners; no prior knowledge of SPSS or Statistics is required. The curriculum covers all necessary theoretical and practical aspects in detail.
  • Learners must have access to a copy of SPSS software to practice the techniques demonstrated throughout the course.
 35 Hours

Number of participants


Price per participant

Testimonials (4)

Upcoming Courses

Related Categories