Statistics Made Easy
Join Marvin Hanisch, Associate Professor at the University of Groningen, for a practical and engaging introduction to data preparation, analysis, and interpretation. The video tutorials blend intuitive explanations of statistical concepts with hands-on applications using Stata, a data science and analysis software. Ideal for both undergraduate and graduate students in the social sciences, the content is also a valuable resource for data analysis professionals seeking to enhance their skills.
Statistics Made Easy 5.7: Robust and Clustered Standard Errors
Statistics Made Easy 6.2: Testing Moderation in Stata
Statistics Made Easy 1: Welcome to Statistics Made Easy
Statistics Made Easy 3.1: Data Preparation in Stata
Statistics Made Easy 5.5: Interpreting the Results from Nonlinear Regression Models
Statistics Made Easy 4.2: Descriptive Statistics in Stata
Statistics Made Easy 8: Causal Inferences and Endogeneity
Statistics Made Easy 6.5: Testing Mediation in Stata
Statistics Made Easy 3.2: Introduction to Combining Datasets
Statistics Made Easy 7.2: Panel Regressions in Stata
Statistics Made Easy 9: Using Python in Stata
Statistics Made Easy 3.3: Combining Datasets in Stata
Statistics Made Easy 7.1: Introduction to Panel Regressions
Statistics Made Easy 5.3: Setting the Sample
Statistics Made Easy 5.1: Introduction to Multivariate Statistics and Regressions
Statistics Made Easy 5.4: Interpreting the Results from Linear Regression Models
Statistics Made Easy 2: Stata's User Interface
Statistics Made Easy 5.2: Multivariate Statistics and Regressions in Stata
Statistics Made Easy 6.3: Testing U-Shaped Relationships in Stata
Statistics Made Easy 4.1: Introduction to Descriptive Statistics
Statistics Made Easy 6.4: Introduction to Mediation Analysis
Statistics Made Easy 5.6: Control Variables
Statistics Made Easy 6.1: Introduction to Moderation Analysis