The proposed book will assemble a selection of essays that quantify the theories of Pierre Bourdieu. Our purpose is simply to provide a collection of academic pieces that demonstrate how quantitative methodological procedures are used to test the validity of existing social theory, focusing on the prominent sociologist, Pierre Bourdieu. We have chosen Bourdieu due to his international popularity in the sociology discipline, and the extensive range of his theoretical contributions.

Demonstrating the importance of quantifying, or testing, theory is frequently overlooked in university courses. Too often the sole focus is either an exploration social theory or a routine of performing quantitative methodological procedures. Students seldom receive exposure to practical applications that clearly illustrate the use of the latter to test the former. The unfortunate consequence is that students often fail to grasp the vital relationship between theory and methods, which is the basis of future sociological research.

The majority of single author sociological methods books exist in the form of undergraduate texts. Because sociologists are versed in the basics of quantitative and qualitative methodology, solo academics can reasonably author introductory texts that glean the necessary basics of both quantitative and qualitative methods. However, the same is not true of providing adequate intermediate and advanced level methodological instruction.

There is a considerable market for edited volumes of qualitative methodology. The practical benefit of such collections both for instructors and students is a selection of diverse topics in which researchers devote considerable attention to specific qualitative procedures. In short, an assortment of contributors can better provide intensive applications of different qualitative procedures that address unique research questions, and in a variety of settings. The end product typically incorporates a useful breadth of sociological topics, but with the requisite methodological depth (i.e. attention to procedure and depth of analysis) that is otherwise difficult for any single author to accomplish. To date, edited volumes of qualitative research are abundant, while similar quantitative compilations are rare."

Where do I start? How do I know if I'm asking the right questions? How do I analyze the data once I have it? How do I report the results? When will I ever understand the process? If you are new to using the Stata software, and concerned about applying it to a project, help is at hand. David Pevalin and Karen Robson offer you a step by step introduction to the basics of the software, before gently helping you develop a more sophisticated understanding of Stata and its capabilities. The book will guide you through the research process offering further reading where more complex decisions need to be made and giving 'real world' examples from a wide range of disciplines and anecdotes that clarify issues for readers. The book will help with: manipulating and organizing data; generating statistics; interpreting results; and, presenting outputs. "The Stata Survival Manual" is a lifesaver for both students and professionals who are using the Stata software!

Have you been told you need to do multilevel modeling, but you can't get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.

The proposed book will assemble a selection of essays that quantify the theories of Pierre Bourdieu. Our purpose is simply to provide a collection of academic pieces that demonstrate how quantitative methodological procedures are used to test the validity of existing social theory, focusing on the prominent sociologist, Pierre Bourdieu. We have chosen Bourdieu due to his international popularity in the sociology discipline, and the extensive range of his theoretical contributions.

Demonstrating the importance of quantifying, or testing, theory is frequently overlooked in university courses. Too often the sole focus is either an exploration social theory or a routine of performing quantitative methodological procedures. Students seldom receive exposure to practical applications that clearly illustrate the use of the latter to test the former. The unfortunate consequence is that students often fail to grasp the vital relationship between theory and methods, which is the basis of future sociological research.

The majority of single author sociological methods books exist in the form of undergraduate texts. Because sociologists are versed in the basics of quantitative and qualitative methodology, solo academics can reasonably author introductory texts that glean the necessary basics of both quantitative and qualitative methods. However, the same is not true of providing adequate intermediate and advanced level methodological instruction.

There is a considerable market for edited volumes of qualitative methodology. The practical benefit of such collections both for instructors and students is a selection of diverse topics in which researchers devote considerable attention to specific qualitative procedures. In short, an assortment of contributors can better provide intensive applications of different qualitative procedures that address unique research questions, and in a variety of settings. The end product typically incorporates a useful breadth of sociological topics, but with the requisite methodological depth (i.e. attention to procedure and depth of analysis) that is otherwise difficult for any single author to accomplish. To date, edited volumes of qualitative research are abundant, while similar quantitative compilations are rare."

Have you been told you need to do multilevel modeling, but you can't get past the forest of equations? Do you need the techniques explained with words and practical examples so they make sense? Help is here! This book unpacks these statistical techniques in easy-to-understand language with fully annotated examples using the statistical software Stata. The techniques are explained without reliance on equations and algebra so that new users will understand when to use these approaches and how they are really just special applications of ordinary regression. Using real life data, the authors show you how to model random intercept models and random coefficient models for cross-sectional data in a way that makes sense and can be retained and repeated. This book is the perfect answer for anyone who needs a clear, accessible introduction to multilevel modeling.