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Highly recommended books that start from the beginning, explaining everything you need to know about reporting statistical data and test results. Writing about Multivariate Analysis includes the content from Writing about Numbers, supplementing it with the information researchers need to know. The downloadable podcasts are of the author presenting slides with content from the books.
The Chicago Guide to Writing about Numbers, Second Edition by
Earning praise from scientists, journalists, faculty, and students, The Chicago Guide to Writing about Numbers has helped thousands of writers communicate data clearly and effectively. Its publication offered a much-needed bridge between good quantitative analysis and clear expository writing, using straightforward principles and efficient prose. With this new edition, Jane Miller draws on a decade of additional experience and research, expanding her advice on reaching everyday audiences and further integrating non-print formats. Miller, an experienced teacher of research methods, statistics, and research writing, opens by introducing a set of basic principles for writing about numbers, then presents a toolkit of techniques that can be applied to prose, tables, charts, and presentations. Throughout the book, she emphasizes flexibility, showing writers that different approaches work for different kinds of data and different types of audiences. The second edition adds a chapter on writing about numbers for lay audiences, explaining how to avoid overwhelming readers with jargon and technical issues. Also new is an appendix comparing the contents and formats of speeches, research posters, and papers, to teach writers how to create all three types of communication without starting each from scratch. An expanded companion website includes new multimedia resources such as slide shows and podcasts that illustrate the concepts and techniques, along with an updated study guide of problem sets and suggested course extensions. This continues to be the only book that brings together all the tasks that go into writing about numbers, integrating advice on finding data, calculating statistics, organizing ideas, designing tables and charts, and writing prose all in one volume. Field-tested with students and professionals alike, this holistic book is the go-to guide for everyone who writes or speaks about numbers.
The Chicago Guide to Writing about Multivariate Analysis by
Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. " The Chicago Guide to Writing about Multivariate Analysis" is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the "Goldilocks principle" for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis--finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose--in a single volume. When aligned with Miller's twelve fundamental principles for quantitative writing, this approach will empower readers--whether students or experienced researchers--to communicate their findings clearly and effectively.
Books
Publication Manual of the American Psychological Association by
The Publication Manual of the American Psychological Association, Seventh Edition is the official source for APA Style. With millions of copies sold worldwide in multiple languages, it is the style manual of choice for writers, researchers, editors, students, and educators in the social and behavioral sciences, natural sciences, nursing, communications, education, business, engineering, and other fields. Known for its authoritative, easy-to-use reference and citation system, the Publication Manual also offers guidance on choosing the headings, tables, figures, language, and tone that will result in powerful, concise, and elegant scholarly communication. It guides users through the scholarly writing process-from the ethics of authorship to reporting research through publication. The seventh edition is an indispensable resource for students and professionals to achieve excellence in writing and make an impact with their work. The seventh edition has been thoroughly revised and updated to reflect best practices in scholarly writing and publishing. All formats are in full color, with a new tabbed spiral version Improved ease of navigation, with many additional numbered sections to help users quickly locate answers to their questions Resources for students on writing and formatting annotated bibliographies, response papers, and other paper types as well as guidelines on citing course materials Dedicated chapter for new users of APA Style covering paper elements and format, including sample papers for both professional authors and student writers New chapter on journal article reporting standards that includes updates to reporting standards for quantitative research and the first-ever qualitative and mixed methods reporting standards in APA Style New chapter on bias-free language guidelines for writing about people with respect and inclusivity in areas including age, disability, gender, participation in research, race and ethnicity, sexual orientation, socioeconomic status, and intersectionality More than 100 new reference examples covering periodicals, books, audiovisual media, social media, webpages and websites, and legal resources More than 40 new sample tables and figures Expanded guidance on ethical writing and publishing practices, including how to ensure the appropriate level of citation, avoid plagiarism and self-plagiarism, and navigate the publication process Guidelines that support accessibility for all users, including simplified reference, in-text citation, and heading formats as well as additional font options
Reporting Quantitative Research in Psychology by
In this book, Harris Cooper offers practical guidance for understanding and implementing APA Style Journal Article Reporting Standards (JARS) and Meta-Analysis Reporting Standards (MARS) for quantitative research. These standards provide the essential information researchers need to report, including detailed accounts of the methods they followed, data results and analysis, interpretations of their findings, and implications for future research. This revised edition reflects updates to JARS and MARS that meet developing needs in the behavioral, social, educational, and medical sciences. Cooper analyzes examples from APA journals, offering readers advice for implementing these revised standards in their own writing while also conforming with the APA Style guidelines in the seventh edition of the Publication Manual of the American Psychological Association. Updated chapters offer more detailed guidelines for reporting statistical analyses and unique elements of different types of research, including replication studies, clinical trials, and observational studies. Book jacket.
See also the Infoguides:
From Numbers to Words by
This invaluable resource guides readers through the process of creating scholarly, publishable prose from the results of quantitative experiments and investigations. It delves into the issues commonly encountered when reporting the results of statistical experiments and investigations, and provides instruction re the representation of these results in text and visual formats. This unique research companion serves as a must-have reference for advanced students doing quantitative research and working with statistics, with the goal of writing up and publishing their findings; it also serves as a useful refresher for experienced researchers.
How to Design and Report Experiments by
How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, Designing and Reporting Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses.