The Meta-Analytic Organization PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download The Meta-Analytic Organization PDF full book. Access full book title The Meta-Analytic Organization by Lex Donaldson. Download full books in PDF and EPUB format.
Author: Lex Donaldson
Publisher: Routledge
ISBN: 1317455800
Category : Business & Economics
Languages : en
Pages : 317
Get Book Here
Book Description
The Meta-Analytic Organization: Introducing Statistico-Organizational Theory develops new organizational theory based upon ideas from statistics and methodology. There have been previous organizational theories based on academic disciplines such as biology, economics, and sociology. Statistico-organizational theory uniquely constructs a new organizational theory derived from ideas in statistics and psychometrics. The core idea is that errors known to occur in social science research must also occur when managers look at their data and seek to make inferences about cause and effect. Statistico-organizational theory uses methodological principles to predict when errors will occur and how great they will be. The book offers new theoretical propositions about organizational strategy and structure, human resource management, international business and franchising.
Author: Lex Donaldson
Publisher: Routledge
ISBN: 1317455800
Category : Business & Economics
Languages : en
Pages : 317
Get Book Here
Book Description
The Meta-Analytic Organization: Introducing Statistico-Organizational Theory develops new organizational theory based upon ideas from statistics and methodology. There have been previous organizational theories based on academic disciplines such as biology, economics, and sociology. Statistico-organizational theory uniquely constructs a new organizational theory derived from ideas in statistics and psychometrics. The core idea is that errors known to occur in social science research must also occur when managers look at their data and seek to make inferences about cause and effect. Statistico-organizational theory uses methodological principles to predict when errors will occur and how great they will be. The book offers new theoretical propositions about organizational strategy and structure, human resource management, international business and franchising.
Author: John Edward Hunter
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Business & Economics
Languages : en
Pages : 184
Get Book Here
Book Description
"There are few areas of modern life that are burdened by as much information and advice, often contradictory, as our diet and health: eat a lot of meat, eat no meat; whole-grains are healthy, whole-grains are a disaster; eat everything in moderation; eat only certain foods--and on and on. In One Hundred Million Years of Food biological anthropologist Stephen Le explains how cuisines of different cultures are a result of centuries of evolution, finely tuned to our biology and surroundings. Today many cultures have strayed from their ancestral diets, relying instead on mass-produced food often made with chemicals that may be contributing to a rise in so-called "Western diseases, " such as cancer, heart disease, and obesity. Travelling around the world to places as far-flung as Vietnam, Kenya, India, and the US, Stephen Le introduces us to people who are growing, cooking, and eating food using both traditional and modern methods, striving for a sustainable, healthy diet. In clear, compelling arguments based on scientific research, Le contends that our ancestral diets provide the best first line of defense in protecting our health and providing a balanced diet. Fast-food diets, as well as strict regimens like paleo or vegan, in effect highjack our biology and ignore the complex nature of our bodies. In One Hundred Million Years of Food Le takes us on a guided tour of evolution, demonstrating how our diets are the result of millions of years of history, and how we can return to a sustainable, healthier way of eating."--Publisher's description.
Author: Julian P. T. Higgins
Publisher: Wiley
ISBN: 9780470699515
Category : Medical
Languages : en
Pages : 672
Get Book Here
Book Description
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
Author: Michael Borenstein
Publisher: John Wiley & Sons
ISBN: 1119964377
Category : Medical
Languages : en
Pages : 350
Get Book Here
Book Description
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world’s leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University
Author: Robert Rosenthal
Publisher: SAGE
ISBN: 9780803942462
Category : Medical
Languages : en
Pages : 172
Get Book Here
Book Description
Considers meta-analytic procedures (the quantitative summary of a research domain) in sufficient detail for readers either to carry them out for themselves, or evaluate the procedures when used by others and offers advice about the applicability of these techniques to specific research questions.
Author: Engin Karadağ
Publisher: Springer
ISBN: 9783319366173
Category : Business & Economics
Languages : en
Pages : 0
Get Book Here
Book Description
This book focuses on the effect of leadership on organizational outcomes and summarizes the current research findings in the field. It addresses the need for inclusive and interpretive studies in the field in order to interpret leadership literature and suggest new pathways for further studies. Appropriately, a meta-analysis approach is used by the contributors to show the big picture to the researchers by analyzing and combining the findings from different independent studies. In particular, the editors compile various studies examining the relationship between the leadership and thirteen organizational outcomes separately. The philosophy behind this book is to direct future research and practices rather than addressing the limits of current studies.
Author: Mike W.-L. Cheung
Publisher: John Wiley & Sons
ISBN: 1119993431
Category : Mathematics
Languages : en
Pages : 402
Get Book Here
Book Description
Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.
Author: Noel A. Card
Publisher: Guilford Publications
ISBN: 1462525008
Category : Psychology
Languages : en
Pages : 401
Get Book Here
Book Description
Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ
Author: Fred Luthans
Publisher: Pearson Scott Foresman
ISBN:
Category : Business & Economics
Languages : en
Pages : 228
Get Book Here
Book Description
Author: Joachim Hartung
Publisher: John Wiley & Sons
ISBN: 1118210964
Category : Medical
Languages : en
Pages : 215
Get Book Here
Book Description
An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies. Two main types of statistical analysis serve as the foundation of the methods and techniques: combining tests of effect size and combining estimates of effect size. Additional topics covered include: Meta-analysis regression procedures Multiple-endpoint and multiple-treatment studies The Bayesian approach to meta-analysis Publication bias Vote counting procedures Methods for combining individual tests and combining individual estimates Using meta-analysis to analyze binary and ordinal categorical data Numerous worked-out examples in each chapter provide the reader with a step-by-step understanding of the presented methods. All exercises can be computed using the R and SAS software packages, which are both available via the book's related Web site. Extensive references are also included, outlining additional sources for further study. Requiring only a working knowledge of statistics, Statistical Meta-Analysis with Applications is a valuable supplement for courses in biostatistics, business, public health, and social research at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians working in industry, academia, and government.
