{"product_id":"regression-models-for-categorical-count-and-related-variables-9780520289291","title":"Regression Models for Categorical Count and","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003eSocial science and behavioral science students and researchers are often confronted with data that are categorical, count a phenomenon, or have been collected over time. This book provides an introduction and overview of several statistical models designed for these types of outcomes.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003ePreface  Acknowledgments   1. Review of Linear Regression Models  2. Categorical Data and Generalized Linear Models  3. Logistic and Probit Regression Models  4. Ordered Logistic and Probit Regression Models  5. Multinomial Logistic and Probit Regression Models  6. Poisson and Negative Binomial Regression Models  7. Event History Models  8. Regression Models for Longitudinal Data  9. Multilevel Regression Models  10. Principal Components and Factor Analysis   Appendix A: SAS, SPSS, and R Code for Examples in Chapters  Section 1: SAS Code  Section 2: SPSS Syntax  Section 3: R Code  Appendix B: Using Simulations to Examine Assumptions of OLS Regression  Appendix C: Working with Missing Data   References  Index","brand":"University of California Press","offers":[{"title":"Default Title","offer_id":49402884751703,"sku":"9780520289291","price":52.25,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/regression-models-for-categorical-count-and-related-variables-9780520289291","provider":"Book Curl","version":"1.0","type":"link"}