The SAGE Dictionary of Statistics provides students and researchers with an accessible and definitive resource to use when studying statistics in the social sciences, reading research reports and undertaking data analysis.

Written in a clear, readable style with a wide range of explanations and examples, this must-have dictionary reflects recent changes in the fields of statistics and methodology. Packed with new definitions, terms, and graphics, this invaluable resource is an ideal reference for researchers and professionals in the field and provides everything students need to read and understand a research report, including elementary terms, concepts, methodology, and design definitions, as well as concepts from qualitative research methods and terms from theory and philosophy.

Bringing together the work of over eighty leading academics and researchers worldwide to produce the definitive reference and research tool for the social sciences, The SAGE Dictionary of Social Research Methods contains more than 230 entries providing the widest coverage of the all the main terms in the research process. It encompasses philosophies of science, research paradigms and designs, specific aspects of data collection, practical issues to be addressed when carrying out research, and the role of research in terms of function and context. Each entry includes: - A concise definition of the concept - A description of distinctive features: historical and disciplinary backgrounds; key writers; applications - A critical and reflective evaluation of the concept under consideration - Cross references to associated concepts within the dictionary - A list of key readings Written in a lively style, The SAGE Dictionary of Social Research Methods is an essential study guide for students and first-time researchers. It is a primary source of reference for advanced study, a necessary supplement to established textbooks, and a state-of-the-art reference guide to the specialized language of research across the social sciences.

′This comprehensive work extends general ideas, concepts, and techniques of qualitative research into the realm of management research...This is a crucial reference tool for anyone conducting research in this field of study′ - CHOICE With over 100 entries on key concepts and theorists, the Dictionary of Qualitative Management Research provides full coverage of the field, explaining fundamental concepts and introducing new and unfamiliar terms. This book provides: - Definitions - Examples in the field of management studies - Criticisms and possible future directions Engagingly written by specialists in each area, this dictionary will be the definitive and essential companion to established textbooks and teaching materials in qualitative management research.

In this Fourth Edition of The SAGE Dictionary of Qualitative Inquiry Thomas A. Schwandt provides a guide to the terms and phrases that help shape the origins, purpose, logic, meaning, and methods of the practices known as qualitative inquiry. This edition features 20 additional terms as well as a restructured Reader’s Guide. Key references have been updated and select terms and phrases from previous editions have been reorganized and greatly expanded. Together, the dictionary entries provide a guide to the methodological and epistemological concepts and theoretical orientations of qualitative inquiry. This one-of-a-kind resource is ideal for readers who are navigating various perspectives on qualitative inquiry, working on a qualitative dissertation, or are launching their own investigations into the issues covered.

Electronic Inspection Copy available for instructors here A must-have reference resource for quantitative management researchers, the Dictionary contains over 100 entries covering the fundamentals of quantitative methodologies; covering both analysis and implementation and examples of use, as well as detailed graphics to aid understanding. Every entry features: -An introduction to the topic, -Key relevant features, -A worked example, -A concise summary and a selection of further reading suggestions -Cross-references to associated concepts within the dictionary

"While most books on statistics seem to be written as though targeting other statistics professors, John Reinard′s Communication Research Statistics is especially impressive because it is clearly intended for the student reader, filled with unusually clear explanations and with illustrations on the use of SPSS. I enjoyed reading this lucid, student-friendly book and expect students will benefit enormously from its content and presentation. Well done!" --John C. Pollock, The College of New Jersey Written in an accessible style using straightforward and direct language, Communication Research Statistics guides students through the statistics actually used in most empirical research undertaken in communication studies. This introductory textbook is the only work in communication that includes details on statistical analysis of data with a full set of data analysis instructions based on SPSS 12 and Excel XP. Key Features: Emphasizes basic and introductory statistical thinking: The basic needs of novice researchers and students are addressed, while underscoring the foundational elements of statistical analyses in research. Students learn how statistics are used to provide evidence for research arguments and how to evaluate such evidence for themselves. Prepares students to use statistics: Students are encouraged to use statistics as they encounter and evaluate quantitative research. The book details how statistics can be understood by developing actual skills to carry out rudimentary work. Examples are drawn from mass communication, speech communication, and communication disorders. Incorporates SPSS 12 and Excel: A distinguishing feature is the inclusion of coverage of data analysis by use of SPSS 12 and by Excel. Information on the use of major computer software is designed to let students use such tools immediately. Companion Web Site! A dedicated Web site includes a glossary, data sets, chapter summaries, additional readings, links to other useful sites, selected "calculators" for computation of related statistics, additional macros for selected statistics using Excel and SPSS, and extra chapters on multiple discriminant analysis and loglinear analysis. Intended Audience: Ideal for undergraduate and graduate courses in Communication Research Statistics or Methods; also relevant for many Research Methods courses across the social sciences