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Author: Duncan Cramer Publisher: SAGE ISBN: 9780761941385 Category : Social Science Languages : en Pages : 204
Book Description
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.
Author: Duncan Cramer Publisher: SAGE ISBN: 9780761941385 Category : Social Science Languages : en Pages : 204
Book Description
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.
Author: Graham Upton Publisher: Oxford University Press, USA ISBN: 0199679185 Category : Mathematics Languages : en Pages : 497
Book Description
This wide-ranging dictionary covers over 2,300 statistical terms in accessible, jargon-free language. All existing entries and web links have been revised and updated to ensure that the content is as relevant as possible. An indispensable reference work for any students or professionals who come into contact with statistics at work or university.
Author: Jason W. Osborne Publisher: SAGE ISBN: 1412988012 Category : Mathematics Languages : en Pages : 297
Book Description
Many researchers jump straight from data collection to data analysis without realizing how analyses and hypothesis tests can go profoundly wrong without clean data. This book provides a clear, step-by-step process of examining and cleaning data in order to decrease error rates and increase both the power and replicability of results. Jason W. Osborne, author of Best Practices in Quantitative Methods (SAGE, 2008) provides easily-implemented suggestions that are research-based and will motivate change in practice by empirically demonstrating, for each topic, the benefits of following best practices and the potential consequences of not following these guidelines. If your goal is to do the best research you can do, draw conclusions that are most likely to be accurate representations of the population(s) you wish to speak about, and report results that are most likely to be replicated by other researchers, then this basic guidebook will be indispensible.
Author: Larry Wasserman Publisher: Springer Science & Business Media ISBN: 0387217363 Category : Mathematics Languages : en Pages : 446
Book Description
Taken literally, the title "All of Statistics" is an exaggeration. But in spirit, the title is apt, as the book does cover a much broader range of topics than a typical introductory book on mathematical statistics. This book is for people who want to learn probability and statistics quickly. It is suitable for graduate or advanced undergraduate students in computer science, mathematics, statistics, and related disciplines. The book includes modern topics like non-parametric curve estimation, bootstrapping, and classification, topics that are usually relegated to follow-up courses. The reader is presumed to know calculus and a little linear algebra. No previous knowledge of probability and statistics is required. Statistics, data mining, and machine learning are all concerned with collecting and analysing data.
Author: Victor Jupp Publisher: Pine Forge Press ISBN: 1446238563 Category : Social Science Languages : en Pages : 619
Book Description
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.
Author: Sheldon Zedeck Publisher: American Psychological Association (APA) ISBN: 9781433815331 Category : Psychology Languages : en Pages : 0
Book Description
Statistics is the field of knowledge concerned with data collection, data analysis, and data interpretation and presentation. Methodology comprises the many and varied structured ways in which research is conducted answering the fundamental question: How does the researcher effectively gather information for particular purposes? Both are core topics underlying the discipline of psychology and the other social, behavioral, and health sciences. Moreover, a basic understanding of the language of statistics and research methods is required for any serious student, scientist, and practitioner in these fields. The APA Dictionary of Statistics and Research Methods is a focused reference resource that explores the lexicon of these two tightly interrelated areas. It provides Over 4,000 entries offering clear and authoritative definitions; Balanced coverage in such core areas as research planning and design, psychometrics, quantitative and qualitative measurements, and data analysis; Hundreds of incisive cross-references that deepen the user's understanding of related topics; More than 100 illustrations of some of the common and uncommon data display methods; A Quick Guide to Use that explains stylistic and formal features at a glance; and Appendixes listing common abbreviations and statistical symbols The largest scientific and professional organization of psychologists in the United States and the largest association of psychologists in the world the American Psychological Association proudly offers this reference as part of its critically acclaimed APA Dictionaries series.
Author: John C. Reinard Publisher: SAGE Publications ISBN: 1506320481 Category : Language Arts & Disciplines Languages : en Pages : 604
Book Description
"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
Author: Tilman M. Davies Publisher: No Starch Press ISBN: 1593276516 Category : Computers Languages : en Pages : 833
Book Description
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
Author: Duncan Cramer
Author: Duncan Cramer
Author: 
Author: Graham Upton
Author: Jason W. Osborne
Author: Larry Wasserman
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Author: Victor Jupp
Author: Sheldon Zedeck
Author: John C. Reinard
Author: Tilman M. Davies