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Polimetrics
- Format:
- Book
- Author/Creator:
- Franco, Josh, author.
- Language:
- English
- Subjects (All):
- Social sciences--Textbooks.
- Social sciences.
- Political science--Textbooks.
- Political science.
- Mathematics--Textbooks.
- Mathematics.
- Statistics--Textbooks.
- Statistics.
- Physical Description:
- 1 online resource
- Edition:
- 1st Edition
- Place of Publication:
- San Diego, California Open Political Science (OPoliSci) 2023.
- Language Note:
- In English.
- Summary:
- Polimetrics: A Stata Companion, authored by Dr. Josh Franco, is an Open Education Resource workbook licensed CC BY-NC and designed as a Stata companion to Introduction to Political Science Research Methods. 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 models. I review models where the outcome is linear, binary, ordinal, categorical, and count. Additionally, I have an interpretation chapter on survival models. Each “Models” chapter has a similar organizational structure: about, estimated time, what is the model, how are models run in Stata, how do we interpret the model results, and a real-world example of model results in a Creative Commons licensed, peer-reviewed journal article. Additionally, mini-assignment instructions and a rubric are included so students can practice their interpretation skills.
- Contents:
- Preface
- List of Figures
- Acknowledgements
- Chapter 1 - Overview
- Chapter 2 - Stata Software Tour and Getting Started
- Chapter 3 - Datasets: Cross-section, Time Series, and Panel
- Chapter 4 - Data Management
- Chapter 5 - Descriptive Statistics
- Chapter 6 - Model Selection
- Chapter 7 - Linear Models
- Chapter 8 - Binary Outcome Models
- Chapter 9 - Ordinal Outcome Models
- Chapter 10 - Categorical Outcome Models
- Chapter 11 - Count Outcome Models
- Chapter 12 - Panel Data Linear Models
- Chapter 13 - Panel Data Binary Outcome Models
- Chapter 14 - Panel Data Ordinal Outcome Models
- Chapter 15 - Panel Data Categorical Outcome Models
- Chapter 16 - Panel Data Count Outcome Models
- Chapter 17 - Survival Modes
- Chapter 18 - Share
- Chapter 19 - Reflection
- References
- Notes:
- Description based on online resource
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