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Author: Charles E. Lance Publisher: Routledge ISBN: 1135269661 Category : Business & Economics Languages : en Pages : 433
Book Description
This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.
Author: Charles E. Lance Publisher: Routledge ISBN: 1135269661 Category : Business & Economics Languages : en Pages : 433
Book Description
This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are sustained, in part, upon sound rationale and justification and, in part, upon unfounded lore. Some examples of these "methodological urban legends", as we refer to them in this book, are characterized by manuscript critiques such as: (a) "your self-report measures suffer from common method bias"; (b) "your item-to-subject ratios are too low"; (c) "you can’t generalize these findings to the real world"; or (d) "your effect sizes are too low". Historically, there is a kernel of truth to most of these legends, but in many cases that truth has been long forgotten, ignored or embellished beyond recognition. This book examines several such legends. Each chapter is organized to address: (a) what the legend is that "we (almost) all know to be true"; (b) what the "kernel of truth" is to each legend; (c) what the myths are that have developed around this kernel of truth; and (d) what the state of the practice should be. This book meets an important need for the accumulation and integration of these methodological and statistical practices.
Author: Charles E. Lance Publisher: Routledge ISBN: 1135039437 Category : Psychology Languages : en Pages : 368
Book Description
This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a) “your self-report measures suffer from common method bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize these findings to the real world”; or (d) “your effect sizes are too low.” What do these critiques mean, and what is their historical basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics covered include sample size requirements, missing data bias in correlation matrices, negative wording in survey research, and much more.
Author: Charles E. Lance Publisher: Routledge ISBN: 1135039429 Category : Psychology Languages : en Pages : 418
Book Description
This book provides an up-to-date review of commonly undertaken methodological and statistical practices that are based partially in sound scientific rationale and partially in unfounded lore. Some examples of these “methodological urban legends” are characterized by manuscript critiques such as: (a) “your self-report measures suffer from common method bias”; (b) “your item-to-subject ratios are too low”; (c) “you can’t generalize these findings to the real world”; or (d) “your effect sizes are too low.” What do these critiques mean, and what is their historical basis? More Statistical and Methodological Myths and Urban Legends catalogs several of these quirky practices and outlines proper research techniques. Topics covered include sample size requirements, missing data bias in correlation matrices, negative wording in survey research, and much more.
Author: Donald D. Bergh Publisher: Emerald Group Publishing ISBN: 1780520271 Category : Business & Economics Languages : en Pages : 337
Book Description
Strategic management relies on an array of complex methods drawn from various allied disciplines to examine how managers attempt to lead their firms toward success. This book provides a forum for critique, commentary, and discussion about key research methodology issues in the strategic management field.
Author: W. Paul Vogt Publisher: SAGE ISBN: 1412971098 Category : Education Languages : en Pages : 457
Book Description
In this newly updated Fourth Edition, new terms are defined, new synonyms are included, and both are illustrated with new graphics. Growth in the fields of statistics and methodology has mandated these inclusions. The number of definitions and illustrations has grown from about 2,400 in the third edition to about 2,800 in this one, an increase of around 16 percent. While some entries have been shortened and obsolete ones have been deleted, which helped make room for the new entries, comparatively few terms from the earlier editions have been deleted. The importance of classic terms persists even as new techniques and the terms describing them are invented. Finally, the suggestions for further reading have been updated and a new section on Useful Websites on Statistics and Methodology has been added.
Author: W. Paul Vogt Publisher: SAGE Publications ISBN: 1483381757 Category : Reference Languages : en Pages : 521
Book Description
Written in a clear, readable style with a wide range of explanations and examples, The SAGE Dictionary of Statistics & Methodology, Fifth Edition by W. Paul Vogt and R. Burke Johnson is a must-have dictionary that reflects recent changes in the fields of statistics and methodology. Packed with 500 new definitions, terms, and graphics, the Fifth Edition 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.
Author: Herman Aguinis Publisher: SAGE Publications ISBN: 1071871919 Category : Business & Economics Languages : en Pages : 617
Book Description
Herman Aguinis′s Research Methodology provides a comprehensive guide to conducting high-impact empirical research. A valuable resource for all researchers, it offers step-by-step explanations of diverse methodologies with practical guidelines. This text aids readers in selecting compelling topics, reporting results, and evaluating published research.
Author: Donald D. Bergh Publisher: Emerald Group Publishing ISBN: 1848551584 Category : Business & Economics Languages : en Pages : 333
Book Description
Strategic management relies on an array of complex methods drawn from various allied disciplines to examine how managers attempt to lead their firms toward success. This book discusses about key methodology issues in the strategic management field.
Author: Rae R. Newton Publisher: SAGE ISBN: 1412997593 Category : Education Languages : en Pages : 385
Book Description
How do you bridge the gap between what you learned in your statistics course and the questions you want to answer in your real-world research? Oriented towards distinct questions in a "How do I?" or "When should I?" format, Your Statistical Consultant is the equivalent of the expert colleague down the hall who fields questions about describing, explaining, and making recommendations regarding thorny or confusing statistical issues. The book serves as a compendium of statistical knowledge, both theoretical and applied, that addresses the questions most frequently asked by students, researchers and instructors. Written to be responsive to a wide range of inquiries and levels of expertise, the book is flexibly organized so readers can either read it sequentially or turn directly to the sections that correspond to their concerns.
Author: Charles E. Lance
Author: Charles E. Lance
Author: Charles E. Lance
Author: Charles E. Lance
Author: Donald D. Bergh
Author: Dr Martin Rich
Author: W. Paul Vogt
Author: W. Paul Vogt
Author: Herman Aguinis
Author: Donald D. Bergh
Author: Rae R. Newton