Download Free The Quantitative Analysis Of Social Problems Book in PDF and EPUB Free Download. You can read online The Quantitative Analysis Of Social Problems and write the review.

Compilation of papers to illustrate the efficiency and accuracy of quantitative research methods and statistical methods applied in experimental social research and economic research - comprises an evaluation of the application of quantitative analysis to studies on public opinion on politics, election behaviour, health hazards, aspects of social psychology, the social implications of economic growth, educational surveys, etc., made in the USA, examines data analysis methodologys and includes literature surveys. References and statistical tables.
"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--
This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.
Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.
This book covers a wide range of contemporary methods for researching social problems and connects these approaches to the broader substance and theories of social problems. Expository and discursive in approach, chapters follow a uniform structure, with each offering research examples and a broad description of the related method and its theoretical context, together with a "how-to" guide for applying that method using substantive examples from the field of social problems. For every method explored, there is a research example that fully reviews and illustrates the application of the particular method, before giving a full assessment of the method’s strengths and weaknesses and latest developments. With chapters exploring survey interviews, in-depth interviews, narrative inquiry, institutional ethnography, participatory action research, auto-ethnography, Actor-Network Theory, experimental research, visual research methods, and research ethics, Researching Social Problems will appeal to scholars and students of sociology and politics working in the fields of research methods and social problems.
Each chapter in this innovative social problems text is written by a specialist or pair of specialists from appropriate subfields within sociology. The typical single-author approach is limiting given the complexity of the contemporary issues surrounding each social problem discussed. Involving many content experts ensures that the theories, research, and examples used in each chapter will be as current and relevant as possible. Chapters open with personal statements from the contributing authors, discussing how they got involved with studying the problem they are writing about. Javier Trevino serves as the general editor, making sure that each author follows the chapter template and maintains a consistency in level and style.
Quantitative research makes a very important contribution to both understanding and responding effectively to the problems that social work service users face. In this unique and authoritative text, a group of expert authors explore the key areas of data collection, analysis and evaluation and outline in detail how they can be applied to practice.
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
This textbook is an advanced introduction to quantitative methods for students in communication and allied social science disciplines that focuses on why and how to conduct research that contributes to social justice. Today’s researchers are inspired by the potential for scholarship to make a difference for society, to push toward more just and equitable ends, and to engage in dialogue with members of the public so that they can make decisions about how to navigate the social, cultural, and political world equipped with accurate, fair, and up-to-date knowledge. This book illustrates the mechanics and the meaning behind quantitative research methods by illustrating each step in the research design process with research addressing questions of social justice. It provides practical guidance for researchers who wish to engage in the transformation of structures, practices, and understandings in society through community and civic engagement and policy formation. It contains step-by-step guidance in quantitative methods—from conceptualization through all the stages of execution of a study, including providing a detailed guide for statistical analysis—and demonstrates how researchers can engage with social justice issues in systematic, rigorous, ethical, and meaningful ways. This text serves as a core or supplementary textbook for graduate and advanced undergraduate courses in research methods for communication and social sciences and fills a gap for a methods text that is responsive to the desire of scholars to conduct socially impactful research.