Statistical And Methodological Myths And Urban Legends
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Statistical And Methodological Myths And Urban Legends
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Author : Charles E. Lance
language : en
Publisher: Routledge
Release Date : 2010-10-18
Statistical And Methodological Myths And Urban Legends written by Charles E. Lance and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-18 with Psychology categories.
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.
More Statistical And Methodological Myths And Urban Legends
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Author : Charles E. Lance
language : en
Publisher: Routledge
Release Date : 2014-11-05
More Statistical And Methodological Myths And Urban Legends written by Charles E. Lance and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-05 with Psychology categories.
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.
Statistical And Methodological Myths And Urban Legends
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Author : Charles E. Lance
language : en
Publisher: Routledge
Release Date : 2010-10-18
Statistical And Methodological Myths And Urban Legends written by Charles E. Lance and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-18 with Business & Economics categories.
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.
More Statistical And Methodological Myths And Urban Legends
DOWNLOAD
Author : Charles E. Lance
language : en
Publisher: Routledge
Release Date : 2014-11-05
More Statistical And Methodological Myths And Urban Legends written by Charles E. Lance and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-05 with Psychology categories.
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.
Statistical And Methodological Myths And Urban Legends In Strategic Management Research
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Author : Ming Li
language : en
Publisher:
Release Date : 2019
Statistical And Methodological Myths And Urban Legends In Strategic Management Research written by Ming Li and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
This paper examines whether methodological precedence in applying moderation analysis to strategic management research relies on myths and urban legends, and if doing so affected empirical conclusions, implications for theory development, and practical recommendations. An in-depth analysis of 69 studies published in the Strategic Management Journal between 2000 and 2014 using moderation analysis finds that strategic management scholars typically rely on statistical myths and urban legends when applying moderation analysis including: (1) interpreting main effects separately from their significant interaction with other variables; (2) failing to report reliability values of interaction terms; and (3) relying on hierarchical approaches that can lead to interpretation errors. Further examples illustrate how these practices could lead researchers to draw incomplete and possibly inaccurate conclusions. Overall, problematic precedents have become the gold standards for testing and interpreting moderation models. Best practice recommendations for redirecting future research to more solid methodological grounding are provided.
Research Methodology In Strategy And Management
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Author : Donald D. Bergh
language : en
Publisher: Emerald Group Publishing
Release Date : 2009-05-26
Research Methodology In Strategy And Management written by Donald D. Bergh and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-26 with Business & Economics categories.
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.
Ecrm2014 Proceedings Of The 13th European Conference On Research Methodology For Business And Management Studies
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Author : Dr Martin Rich
language : en
Publisher: Academic Conferences Limited
Release Date : 2014-06-16
Ecrm2014 Proceedings Of The 13th European Conference On Research Methodology For Business And Management Studies written by Dr Martin Rich and has been published by Academic Conferences Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-06-16 with Business & Economics categories.
Principles And Practice Of Structural Equation Modeling Fourth Edition
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Author : Rex B. Kline
language : en
Publisher: Guilford Publications
Release Date : 2015-11-04
Principles And Practice Of Structural Equation Modeling Fourth Edition written by Rex B. Kline and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-04 with Social Science categories.
New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.
Data Mining And Exploration
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Author : Chong Ho Alex Yu
language : en
Publisher: CRC Press
Release Date : 2022-10-27
Data Mining And Exploration written by Chong Ho Alex Yu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-27 with Business & Economics categories.
This book introduces both conceptual and procedural aspects of cutting-edge data science methods, such as dynamic data visualization, artificial neural networks, ensemble methods, and text mining. There are at least two unique elements that can set the book apart from its rivals. First, most students in social sciences, engineering, and business took at least one class in introductory statistics before learning data science. However, usually these courses do not discuss the similarities and differences between traditional statistics and modern data science; as a result learners are disoriented by this seemingly drastic paradigm shift. In reaction, some traditionalists reject data science altogether while some beginning data analysts employ data mining tools as a “black box”, without a comprehensive view of the foundational differences between traditional and modern methods (e.g., dichotomous thinking vs. pattern recognition, confirmation vs. exploration, single method vs. triangulation, single sample vs. cross-validation etc.). This book delineates the transition between classical methods and data science (e.g. from p value to Log Worth, from resampling to ensemble methods, from content analysis to text mining etc.). Second, this book aims to widen the learner's horizon by covering a plethora of software tools. When a technician has a hammer, every problem seems to be a nail. By the same token, many textbooks focus on a single software package only, and consequently the learner tends to fit the problem with the tool, but not the other way around. To rectify the situation, a competent analyst should be equipped with a tool set, rather than a single tool. For example, when the analyst works with crucial data in a highly regulated industry, such as pharmaceutical and banking, commercial software modules (e.g., SAS) are indispensable. For a mid-size and small company, open-source packages such as Python would come in handy. If the research goal is to create an executive summary quickly, the logical choice is rapid model comparison. If the analyst would like to explore the data by asking what-if questions, then dynamic graphing in JMP Pro is a better option. This book uses concrete examples to explain the pros and cons of various software applications.
Ebook Business Research Methods 5e
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Author : Boris Blumberg
language : en
Publisher: McGraw Hill
Release Date : 2024-06-13
Ebook Business Research Methods 5e written by Boris Blumberg and has been published by McGraw Hill this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-13 with Business & Economics categories.
This book is a one stop guide to all your research methods needs. It is tailored specifically towards business and management courses, and central to this edition is the balanced coverage of qualitative and quantitative methods to clearly and concisely lead students through the research process, whatever their project may be. Now in its much anticipated fifth edition, Business Research Methods has been revised and updated to reflect all the latest trends in research methodology. The integration of statistical issues, as well as coverage of web-based surveys, qualitative interviews, big data, and content analysis of social media, aims to support the current student experience. A Running Case Study charts the progression of two student research projects - one qualitative and one quantitative - and shows how the content of each chapter can be used to develop their projects. Thought provoking questions are included to help students consider the issues and decisions involved, and how these might be applied to their own project. Deeper Insight into Research Methods boxes delve further into particular research issues, offering a detailed description to increase understanding of these areas, whilst Real Life examples put research methods into context, by showing how they have been applied in real world situations. New pedagogy features include: Research in Practice boxes provide an insight into situations and research decisions that students may encounter in real life projects. They contain hints, tips and sometimes questions to help think through a project. Theory Explained highlights key theories and demonstrates how these can be applied in practical research examples. Statistics in Action provides practical alternatives to qualitative research methods and gives examples of how statistical data can be presented, analyzed and interpreted to improve students data insights skills. The Online Learning Centre contains a vast amount of extra resources to support lecturers and student, including power points, instructor manuals, and a question bank. New to this edition are short case studies with teaching notes covering current topics and key theories, and worked examples and videos with associated questions for further practical exercises and real world examples. Boris F. Blumberg is Senior Lecturer and Executive Director of UMIO, the postgraduate unit at the Maastricht University School of Business and Economics, the Netherlands. Boris has supervised hundreds of dissertations and teaches courses in strategic management, entrepreneurship and innovation. His research focuses mainly on entrepreneurship, networks and methodology. Claire MacRae is Senior Lecturer in Public Policy at the Centre for Public Policy, University of Glasgow. Claire has taught courses on research methods for undergraduate, masters and Professional Doctorate students. Her research focuses mainly on policymaking, risk and resilience, and the impact of policy design and implementation on society.