INTERACTIVE COURSE

Intermediate

121 Lessons

19h 45min

Certificate of Completion

AI Explanations

AI Explanations

224 Playgrounds

6 Quizzes

100 Illustrations

Takeaway Skills

Learn to use R to import and inspect data, identify dataset attributes, and manage observations, variables, and datasets.

Learn to use R to graph simple histograms, box plots, scatter plots, and research findings.

Learn to use R to summarize data, conduct a one-sample t-test, and test the difference of means between groups.

Learn how to replicate research findings in published journal articles.

Learn to use R to compute covariance and correlation, estimate and interpret ordinary least square (OLS) regression, and diagnose and correct regression assumption violations.

Course Overview

With the rapid progress in statistical computing, proficiency in using statistical software such as R, SPSS, and SAS has become almost a universal requirement. The highly extensible R programming language offers a wide range of analytical and graphical capabilities ideal for manipulating large datasets. This course integrates R programming, the logic and steps of statistical inference, and the process of empirical social science research in a highly accessible and structured fashion. It emphasizes learning...

Course Content

1

Introduction to the course

2

Getting Started with R

IntroductionUsing R in a Research ProjectVectors in RDescriptive Statistics for a VectorHandle Missing Values in VectorsConvert a Vector into a Data FrameFormat Output into a TableGraph the Distribution of a VariableSimple Real-world Example: Data from Iversen and Soskice (2006)Quiz: Getting StartedSummary

3

Get Data Ready: Import, Inspect, and Prepare Data

IntroductionPreparationsImport Penn World Table 7.0 DatasetInspect Imported DataPrepare Data: Variable TypesPrepare Data: IndexingPrepare Data: Manage DatasetsManage Datasets: Reshaping Data StructurePrepare Data: Manage ObservationsPrepare Data: Manage VariablesCreate Group-Specific VariablesQuiz: Getting Data ReadyChallenge: Importing a DatasetSolution: Importing DatasetSummary

4

One-sample and Difference-of-Means Tests

IntroductionConceptual PreparationConceptual Preparation: Methods of Statistical InferenceConceptual Preparation: Statistical InferenceData PreparationCase Study: Average Economic Growth Rate in the World EconomyHypothesis Test of Hypothetical Population MeanConfidence IntervalInferring Population DifferenceTwo-sample t-TestsAlternate Difference of Mean TestsQuiz: One-sample and Difference of Means TestsSummary

5

Covariance and Correlation

IntroductionData and Software PreparationsVisualizing Relationship Between VariablesTrade Openness and Economic GrowthPearson Correlation Coefficient of Population and SampleChange Between Trade and GrowthQuiz: Covariance and CorrelationChallenge: Covariance and CorrelationSolution: Covariance and CorrelationSummary

6

Regression Analysis

12 Lessons

7

Regression Diagnostics and Sensitivity Analysis

15 Lessons

8

Replication of Findings in Published Analyses

7 Lessons

9

Conclusion

2 Lessons

10

Appendix-A

8 Lessons

11

Appendix-B

27 Lessons

COURSE AUTHOR

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