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Polimetrics 2e
Polimetrics is an open education resource that is designed as a companion to Introduction to Political Science Research Methods, 2nd Edition, or IPSRM for short. This workbook provides a tour of the Stata software, an introduction to cross-sectional, time series, and panel data, and an introduction to a variety of statistical models. I review models where the outcome is linear, binary, ordinal, categorical, and count.
- Author
- Josh Franco
- Publisher
- Cuyamaca College
- Source
- LibreTexts
- License
- CC BY-NC
- Language
- EN
- Category
- Basic Sciences
Contents· 96 sections
- 01: Overview
- 1.01: About this Workbook
- 1.02: Why an OER workbook on non-free Stata
- 1.03: How to Use this Workbook
- 1.04: Workbook Formatting
- 1.05: Your Feedback
- 02: Stata Software Tour
- 2.01: Welcome
- 2.02: About Stata
- 2.03: Tour of Stata Interface
- 2.04: Mini-Assignment
- 03: Getting Started in Stata
- 3.01: Welcome
- 3.02: Find Data to Import
- 3.03: Import Data into Stata
- 3.04: Review the Data in Stata
- 3.05: Describe the Data
- 3.06: Mini-Assignment
- 04: Datasets - Cross-section Time Series and Panel
- 4.01: Welcome
- 4.02: Cross-Sectional Dataset
- 4.03: Time Series Dataset
- 4.04: Panel Dataset
- 4.05: Mini-Assignment
- 05: Data Management
- 5.01: About
- 5.02: Big Picture
- 5.03: Storing Data
- 5.04: Sourcing Data
- 5.05: Folders
- 5.06: Files
- 5.07: Version Control
- 5.08: Base Dataset
- 5.09: Variable Data
- 5.10: Mini-Assignment
- 06: Descriptive Statistics
- 6.01: About
- 6.02: How do I produce descriptive statistics in Stata
- 6.03: Mini-Assignment
- 07: Model Selection
- 7.01: About
- 7.02: The Research Process
- 7.03: What is Model Selection
- 7.04: Mini-Assignment
- 08: Linear Models
- 8.01: Welcome
- 8.02: How do I run a linear model in Stata using political science data
- 8.03: Mini-Assignment
- 09: Binary Outcome Models
- 9.01: Welcome
- 9.02: How do I run a binary outcome model in Stata using political science data
- 9.03: Mini-Assignment
- 10: Ordinal Outcome Models
- 10.01: Welcome
- 10.02: How do I run an ordinal outcome model in Stata using political science data
- 10.03: Mini-Assignment
- 11: Categorical Outcome Models
- 11.01: Welcome
- 11.02: How do I run a categorical outcome model in Stata using political science data
- 11.03: Mini-Assignment
- 12: Count Outcome Models
- 12.01: Welcome
- 12.02: How do I run a count outcome model in Stata using political science data
- 12.03: Mini-Assignment
- 13: Panel Data Linear Models
- 13.01: Welcome
- 13.02: How do I run a panel data linear model in Stata using political science data
- 13.03: Mini-Assignment
- 14: Panel Data Binary Outcome Models
- 14.01: Welcome
- 14.02: How do I run a panel data binary outcome model in Stata using political science data
- 14.03: Mini-Assignment
- 15: Panel Data Ordinal Outcome Models
- 15.01: Welcome
- 15.02: How do I run a panel data ordinal outcome model in Stata using political science data
- 15.03: Mini-Assignment
- 16: Panel Data Categorical Outcome Models
- 16.01: Welcome
- 16.02: How do I create a panel dataset to fit a mixed logit choice model
- 16.03: Mini-Assignment
- 17: Panel Data Count Outcome Models
- 17.01: Welcome
- 17.02: How do I run a panel data count outcome model in Stata using political science data
- 17.03: Mini-Assignment
- 18: Survival Models
- 18.01: About
- 18.02: How do I interpret the statistical output of a survival model
- 18.03: Mini-Assignment
- 19: Share
- 19.01: About
- 19.02: Instructions
- 19.03: Rubric
- 20: Reflection
- 20.01: About
- 20.02: Instructions
- 20.03: Rubric