Description

Book Synopsis

1. Introduction.- Part 1: I. Univariate Statistics.- 2. Concepts, Analysis Unit and Scales.- 3. Indices.- 4. Univariate Statistics.- 5. Distributions, Graphics and Quarto Markdown.- 6. Probability Theory and Random Samples.- 7. Test Theory, Inferential Statistics and Hypotheses.- Part II: Bivariate Statistics.- 8. Correlations of two variables.- 9. Theory of Hypothesis Testing.- 10. Univariate Linear Regression.- Part III: Multivariate Statistics.- 11. Multiple Linear Regression.- 12. Transformations, Interaction and Mediation.- 13. Uncertainty.- 14. Causality.- 15. Maximum Likelihood.- Part IV: Advanced Models.- 16. Advanced Models.- 17. Time Series Analysis.- 18. Panel Analysis.- 19. Logistic Regression.- 20. Event Count Models.- 21. Ordinal Logistic Regression.- 22. Multinomial Logistic Regression.- 23. Writing a Scientific Paper.

Data Science for the Social Sciences

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    A Hardback by Benjamin E. Schlegel

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      Publisher: Springer
      Publication Date: Publication Date: 13/12/2025
      ISBN13: 9783658498009, 978-3658498009
      ISBN10:
      Also in:
      Political science and theory

      Description

      Book Synopsis

      1. Introduction.- Part 1: I. Univariate Statistics.- 2. Concepts, Analysis Unit and Scales.- 3. Indices.- 4. Univariate Statistics.- 5. Distributions, Graphics and Quarto Markdown.- 6. Probability Theory and Random Samples.- 7. Test Theory, Inferential Statistics and Hypotheses.- Part II: Bivariate Statistics.- 8. Correlations of two variables.- 9. Theory of Hypothesis Testing.- 10. Univariate Linear Regression.- Part III: Multivariate Statistics.- 11. Multiple Linear Regression.- 12. Transformations, Interaction and Mediation.- 13. Uncertainty.- 14. Causality.- 15. Maximum Likelihood.- Part IV: Advanced Models.- 16. Advanced Models.- 17. Time Series Analysis.- 18. Panel Analysis.- 19. Logistic Regression.- 20. Event Count Models.- 21. Ordinal Logistic Regression.- 22. Multinomial Logistic Regression.- 23. Writing a Scientific Paper.

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