This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). For each model, estimations, interpretations, model fit, diagnostics, and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata, SPSS and SAS, to using R, and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge, and for Quantitative social scientists due to it’s ability to act as a practitioners guide. Key Features: Applied- in the sense that we will provide code that others can easily adapt Flexible- R is basically just a fancy calculator. Our programs will enable users to derive quantities that they can use in their work Timely- many in the social sciences are currently transitioning to R or are learning it now. Our book will be a useful resource Versatile- we will write functions into an R package that can be applied to all of the regression models we will cover in the book Aesthetically pleasing- one advantage of R relative to other software packages is that graphs are fully customizable. We will leverage this feature to yield high-end graphical displays of results Affordability- R is free. R packages are free. There is no need to purchase site licenses or updates.

This book covers the main models within the GLM (i.e., logistic, Poisson, negative binomial, ordinal, and multinomial). For each model, estimations, interpretations, model fit, diagnostics, and how to convey results graphically are provided. There is a focus on graphic displays of results as these are a core strength of using R for statistical analysis. Many in the social sciences are transitioning away from using Stata, SPSS and SAS, to using R, and this book uses statistical models which are relevant to the social sciences. Social Science Applications of Regression for Categorical Outcomes Using R will be useful for graduate students in the social sciences who are looking to expand their statistical knowledge, and for Quantitative social scientists due to it’s ability to act as a practitioners guide. Key Features: Applied- in the sense that we will provide code that others can easily adapt Flexible- R is basically just a fancy calculator. Our programs will enable users to derive quantities that they can use in their work Timely- many in the social sciences are currently transitioning to R or are learning it now. Our book will be a useful resource Versatile- we will write functions into an R package that can be applied to all of the regression models we will cover in the book Aesthetically pleasing- one advantage of R relative to other software packages is that graphs are fully customizable. We will leverage this feature to yield high-end graphical displays of results Affordability- R is free. R packages are free. There is no need to purchase site licenses or updates.

This edited collection analyzes the role of digital technology in contemporary society dialectically. While many authors, journalists, and commentators have argued that the internet and digital technologies will bring us democracy, equality, and freedom, digital culture often results in loss of privacy, misinformation, and exploitation. This collection challenges celebratory readings of digital technology by suggesting digital culture's potential is limited because of its fundamental relationship to oppressive social forces. The Dialectic of Digital Culture explores ways the digital realm challenges and reproduces power. The contributors provide innovative case studies of various phenomenon including #metoo, Etsy, mommy blogs, music streaming, sustainability, and net neutrality to reveal the reproduction of neoliberal cultural logics. In seemingly transformative digital spaces, these essays provide dialectical readings that challenge dominant narratives about technology and study specific aspects of digital culture that are often under explored.

This edited collection analyzes the role of digital technology in contemporary society dialectically. While many authors, journalists, and commentators have argued that the internet and digital technologies will bring us democracy, equality, and freedom, digital culture often results in loss of privacy, misinformation, and exploitation. This collection challenges celebratory readings of digital technology by suggesting digital culture's potential is limited because of its fundamental relationship to oppressive social forces. The Dialectic of Digital Culture explores ways the digital realm challenges and reproduces power. The contributors provide innovative case studies of various phenomenon including #metoo, Etsy, mommy blogs, music streaming, sustainability, and net neutrality to reveal the reproduction of neoliberal cultural logics. In seemingly transformative digital spaces, these essays provide dialectical readings that challenge dominant narratives about technology and study specific aspects of digital culture that are often under explored. Check out the blog for more: http://blog.uta.edu/digitaldialectic