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 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 third edition of the highly successful handbook is presented for the first time in two volumes, covering the field of social psychology more comprehensively than earlier, including applying social psychology to different areas in sociology. It showcases the dynamics of social psychological phenomena across the micro level (Volume 1), and meso and macro levels of social reality (Volume 2). The reader will see how social psychology can be leveraged at the interactive level, within groups and larger units, and across many aspects of society, thus showing the expansiveness of social psychology in understanding social behavior, social organization, and social structures.The emphasis in Volume 1 rests on theoretical frameworks for processes occurring within individuals and among interacting individuals. The chapters span fundamental principles pertaining to the social construction of meaning, identity, emotions, language, and social cognition, and the structure and dynamics unfolding in interactions characterized by status, social exchange, network linkages, and justice. A shorter chapter, offering an empirical illustration, complements each theoretically oriented chapter. Together, the two volumes provide the reader with theoretical tools useful in understanding the basics of individual behavior, while highlighting how social psychological processes emerge in a variety of contexts. The connections among micro, meso, and macro levels, through the lens of social psychology, forge new pathways to understanding the various forms of inequality plaguing the social world.

This third edition of the highly successful handbook is presented for the first time in two volumes, covering the field of social psychology more comprehensively than earlier, including applying social psychology to different areas in sociology. It showcases the dynamics of social psychological phenomena across the micro level (Volume 1), and meso and macro levels of social reality (Volume 2). The reader will see how social psychology can be leveraged at the interactive level, within groups and larger units, and across many aspects of society, thus showing the expansiveness of social psychology in understanding social behavior, social organization, and social structures.The emphasis in Volume 1 rests on theoretical frameworks for processes occurring within individuals and among interacting individuals. The chapters span fundamental principles pertaining to the social construction of meaning, identity, emotions, language, and social cognition, and the structure and dynamics unfolding in interactions characterized by status, social exchange, network linkages, and justice. A shorter chapter, offering an empirical illustration, complements each theoretically oriented chapter. Together, the two volumes provide the reader with theoretical tools useful in understanding the basics of individual behavior, while highlighting how social psychological processes emerge in a variety of contexts. The connections among micro, meso, and macro levels, through the lens of social psychology, forge new pathways to understanding the various forms of inequality plaguing the social world.

This third edition of the highly successful handbook is presented for the first time in two volumes, covering the field of social psychology more comprehensively than earlier, including applying social psychology to different areas in sociology. It showcases the dynamics of social psychological phenomena across the micro level (Volume 1), and meso and macro levels of social reality (Volume 2). The reader will see how social psychology can be leveraged at the interactive level, within groups and larger units, and across many aspects of society, thus showing the expansiveness of social psychology in understanding social behavior, social organization, and social structures.Volume 2 highlights the relevance of social psychological principles and processes to social categories, groups, and organizations at the meso level, and to institutions and inequality that reflect social life at the macro level. Chapters pertaining to the meso level analyze individuals’ memberships in social categories such as gender, race, class, age, and sexuality. Additionally, meso-level concerns spotlight the context of work and organizations. Chapters at the macro level consider social psychologically oriented work in such institutions as the family, education, and religion and examine other areas such as crime and deviance, the media, immigration, and health. Together, the two volumes provide the reader with theoretical tools useful in understanding the basics of individual behavior while highlighting how social psychological processes emerge in a variety of contexts. The connections among micro, meso, and macro levels, through the lens of social psychology, forge new pathways to understanding the various forms of inequality plaguing the social world.

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 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 third edition of the highly successful handbook is presented for the first time in two volumes, covering the field of social psychology more comprehensively than earlier, including applying social psychology to different areas in sociology. It showcases the dynamics of social psychological phenomena across the micro level (Volume 1), and meso and macro levels of social reality (Volume 2). The reader will see how social psychology can be leveraged at the interactive level, within groups and larger units, and across many aspects of society, thus showing the expansiveness of social psychology in understanding social behavior, social organization, and social structures.The emphasis in Volume 1 rests on theoretical frameworks for processes occurring within individuals and among interacting individuals. The chapters span fundamental principles pertaining to the social construction of meaning, identity, emotions, language, and social cognition, and the structure and dynamics unfolding in interactions characterized by status, social exchange, network linkages, and justice. A shorter chapter, offering an empirical illustration, complements each theoretically oriented chapter. Together, the two volumes provide the reader with theoretical tools useful in understanding the basics of individual behavior, while highlighting how social psychological processes emerge in a variety of contexts. The connections among micro, meso, and macro levels, through the lens of social psychology, forge new pathways to understanding the various forms of inequality plaguing the social world.

This third edition of the highly successful handbook is presented for the first time in two volumes, covering the field of social psychology more comprehensively than earlier, including applying social psychology to different areas in sociology. It showcases the dynamics of social psychological phenomena across the micro level (Volume 1), and meso and macro levels of social reality (Volume 2). The reader will see how social psychology can be leveraged at the interactive level, within groups and larger units, and across many aspects of society, thus showing the expansiveness of social psychology in understanding social behavior, social organization, and social structures.The emphasis in Volume 1 rests on theoretical frameworks for processes occurring within individuals and among interacting individuals. The chapters span fundamental principles pertaining to the social construction of meaning, identity, emotions, language, and social cognition, and the structure and dynamics unfolding in interactions characterized by status, social exchange, network linkages, and justice. A shorter chapter, offering an empirical illustration, complements each theoretically oriented chapter. Together, the two volumes provide the reader with theoretical tools useful in understanding the basics of individual behavior, while highlighting how social psychological processes emerge in a variety of contexts. The connections among micro, meso, and macro levels, through the lens of social psychology, forge new pathways to understanding the various forms of inequality plaguing the social world.

This third edition of the highly successful handbook is presented for the first time in two volumes, covering the field of social psychology more comprehensively than earlier, including applying social psychology to different areas in sociology. It showcases the dynamics of social psychological phenomena across the micro level (Volume 1), and meso and macro levels of social reality (Volume 2). The reader will see how social psychology can be leveraged at the interactive level, within groups and larger units, and across many aspects of society, thus showing the expansiveness of social psychology in understanding social behavior, social organization, and social structures.Volume 2 highlights the relevance of social psychological principles and processes to social categories, groups, and organizations at the meso level, and to institutions and inequality that reflect social life at the macro level. Chapters pertaining to the meso level analyze individuals’ memberships in social categories such as gender, race, class, age, and sexuality. Additionally, meso-level concerns spotlight the context of work and organizations. Chapters at the macro level consider social psychologically oriented work in such institutions as the family, education, and religion and examine other areas such as crime and deviance, the media, immigration, and health. Together, the two volumes provide the reader with theoretical tools useful in understanding the basics of individual behavior while highlighting how social psychological processes emerge in a variety of contexts. The connections among micro, meso, and macro levels, through the lens of social psychology, forge new pathways to understanding the various forms of inequality plaguing the social world.