Just Plain Data Analysis teaches students statistical literacy skills that they can use to evaluate and construct arguments about public affairs issues grounded in numerical evidence. The book addresses skills that are often not taught in introductory social science research methods courses and that are often covered sketchily in the research methods textbooks: where to find commonly used measures of political and social conditions; how to assess the reliability and validity of specific indicators; how to present data efficiently in charts and tables; how to avoid common misinterpretations and misrepresentations of data; and how to evaluate causal arguments based on numerical data. With a new chapter on statistical fallacies and updates throughout the text, the new edition teaches students how to find, interpret, and present commonly used social indicators in an even clearer and more practical way.

Exploring the U.S. Census gives social science students and researchers alike the tools to understand, extract, process, and analyze data from the decennial census, the American Community Survey, and other data collected by the U.S. Census Bureau. Donnelly′s text provides a thorough background on the data collection methods, structures, and potential pitfalls of the census for unfamiliar researchers, collecting information previously available only in widely disparate sources into one handy guide. Hands-on, applied exercises at the end of the chapters help readers dive into the data. Along the way, the author shows how best to analyze census data with open-source software and tools. Readers can freely evaluate the data on their own computers, in keeping with the free and open data provided by the Census Bureau. By placing the census in the context of the open data movement, this text makes the history and practice of the census relevant so readers can understand what a crucial resource the census is for research and knowledge.

Providing expert advice from established scholars in the field of political science, this engaging book imparts informative guidance on teaching research methods across the undergraduate curriculum. Written in a concise yet comprehensive style, it illustrates practical and conceptual advice, alongside more detailed chapters focussing on the different aspects of teaching political methodology.

Advancing Quantitative Methods in Second Language Research is the first hands-on guide to conducting advanced research methods in the fields of applied linguistics and second language studies. While a number of texts discuss basic quantitative research methodology, none focus exclusively on providing coverage of alternative advanced statistical procedures in second language studies from a practical approach. The text is bookended by discussions of these advanced procedures in the larger context of second language studies, debating their strengths, weaknesses, and potential for further research; the remaining chapters are how-to sections, each chapter following the same organization, on a wide variety of advanced research methods. By offering much-needed coverage on advanced statistical concepts and procedures, with an eye toward real-world implementation, Advancing Quantitative Methods in Second Language Research enhances the methodological repertoire of graduate students and researchers in applied linguistics and second language studies. For additional content, visit: http://oak.ucc.nau.edu/ldp3/AQMSLR.html

Why research? -- Developing research questions -- Data -- Principles of data management -- Finding and using secondary data -- Primary and administrative data -- Working with missing data -- Principles of data presentation -- Designing tables for data presentations -- Designing graphics for data presentations

This handbook provides library and information professionals with the information they need to undertake research projects in the workplace in order to inform their own practice and improve service delivery. Whether you are a complete novice or have experience of undertaking evaluations, audits or research, this book will guide you step-by-step through the key phases of planning, doing and disseminating research. The text is divided into three sections: • Part 1: Getting started introduces the concepts, ethics and planning stages. • Part 2: Doing research, evaluation and audit explores the fundamentals of projects, including the literature review, qualitative and quantitative research methods, data analysis and research tools. • Part 3: Impact of research, evaluation and audit guides you through writing up your project, putting the results of your project findings into practice and dissemination to the wider community. Written by academics and practitioners from a diverse range of sectors throughout the world, the book offers a thorough but common sense approach. Each chapter is structured to begin with a comprehensive introduction to a discrete topic area complemented with case studies drawn from a broad range of LIS contexts to illustrate the issues raised and provide transferable lessons to your own context. Whatever your experience, this book will support your project development and explain how evidence-based library and information practice is relevant to you. Readership: This is the essential handbook for any librarian or information professional who wants to undertake research in the workplace in order to inform their own practice and the wider evidence base for library and information science. It’s also a useful guide for undergraduate and postgraduate LIS students undertaking their final year research project.

Through an analysis of the marriage patterns of thousands of aristocratic women as well as an examination of diaries, letters, and memoirs, this book demonstrates that the sense of rank identity as manifested in these women's marriages remained remarkably stable for centuries, until it was finally shattered by the First World War.