Meta-analysis in Marketing PDF Download

Author: John U. Farley
Publisher: Free Press
ISBN: 9780669140392
Category : Business & Economics
Languages : en
Pages : 298

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Author: John E Hunter
Publisher: SAGE
ISBN: 9781412904797
Category : Business & Economics
Languages : en
Pages : 620

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Book Description
Covering the most important developments in meta-analysis from 1990 to 2004, this text presents new patterns in research findings as well as updated information on existing topics.

Author: Barbara L. Paterson
Publisher: SAGE
ISBN: 9780761924159
Category : Medical
Languages : en
Pages : 180

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Book Description
This title provides step-by-step directions for how to conduct a meta-study, as well as recommendations for tools and standards for the application of this approach.

Author: T. D. Stanley
Publisher: Routledge
ISBN: 0415670780
Category : Business & Economics
Languages : en
Pages : 202

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Book Description
Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research.

Author: Hristos Doucouliagos
Publisher: Routledge
ISBN: 1317498283
Category : Business & Economics
Languages : en
Pages : 233

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Book Description
Richard B. Freeman and James L. Medoff’s now classic 1984 book What Do Unions Do? stimulated an enormous theoretical and empirical literature on the economic impact of trade unions. Trade unions continue to be a significant feature of many labor markets, particularly in developing countries, and issues of labor market regulations and labor institutions remain critically important to researchers and policy makers. The relations between unions and management can range between cooperation and conflict; unions have powerful offsetting wage and non-wage effects that economists and other social scientists have long debated. Do the benefits of unionism exceed the costs to the economy and society writ large, or do the costs exceed the benefits? The Economics of Trade Unions offers the first comprehensive review, analysis and evaluation of the empirical literature on the microeconomic effects of trade unions using the tools of meta-regression analysis to identify and quantify the economic impact of trade unions, as well as to correct research design faults, the effects of selection bias and model misspecification. This volume makes use of a unique dataset of hundreds of empirical studies and their reported estimates of the microeconomic impact of trade unions. Written by three authors who have been at the forefront of this research field (including the co-author of the original volume, What Do Unions Do?), this book offers an overview of a subject that is of huge importance to scholars of labor economics, industrial and employee relations, and human resource management, as well as those with an interest in meta-analysis.

Author: Paul D. Ellis
Publisher: Cambridge University Press
ISBN: 0521142466
Category : Business & Economics
Languages : en
Pages : 193

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Book Description
A jargon-free introduction for students and researchers looking to interpret the practical significance of their results.

Author: Michael Borenstein
Publisher: John Wiley & Sons
ISBN: 1119964377
Category : Medical
Languages : en
Pages : 350

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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: Marc G. Weinberger
Publisher: Routledge
ISBN: 1000404420
Category : Business & Economics
Languages : en
Pages : 298

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Book Description
Humor has long been one of the most common approaches used in advertising. Whether in a big televised event like the Super Bowl or in new forms of digital advertising, everyone is exposed to funny ads, some of which both entertain the audience and help sell a product. Yet, the use of humor in advertising is complex; clearly not all humorous ads are successful. This comprehensive volume both summarizes the cumulative state of knowledge on humor in advertising and provides new cutting-edge research on key topics such as humor’s use in conjunction with emotional and sexual appeals, its use in digital advertising, and issues related to gender and cross-cultural applicability. Special emphasis is placed on defining humorous advertising and types of humor used, as well as outlining what conditions work for advertisers. The chapters examine humor in advertising and add insights on several cutting-edge issues in this stream of research. An overview article summarizing the overall body of literature accumulated over 50 years of research on humorous advertising defines types of humorous appeals. The degree to which humor is effective and the boundary conditions associated with when and how it works best in advertising is discussed. New research articles further contribute to cumulative knowledge by exploring the interaction of humor with other issues and techniques such as whether it travels internationally, gender issues, its use in conjunction with emotional and sexual appeals, and its presence in the digital contexts. The book concludes with an in-depth look at the evolution of humorous appeals over the oldest traditional advertising medium—outdoor advertising. The chapters in this book were originally published in International Journal of Advertising.

Author: Robert Rosenthal
Publisher: SAGE
ISBN: 9780803942462
Category : Medical
Languages : en
Pages : 172

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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: Janet L. Peacock
Publisher: Oxford University Press
ISBN: 0192526731
Category : Medical
Languages : en
Pages : 307

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Book Description
As many medical and healthcare researchers have a love-hate relationship with statistics, the second edition of this practical reference book may make all the difference. Using practical examples, mainly from the authors' own research, the book explains how to make sense of statistics, turn statistical computer output into coherent information, and help decide which pieces of information to report and how to present them. The book takes you through all the stages of the research process, from the initial research proposal, through ethical approval and data analysis, to reporting on and publishing the findings. Helpful tips and information boxes, offer clear guidance throughout, including easily followed instructions on how to: -develop a quantitative research proposal for ethical/institutional approval or research funding -write up the statistical aspects of a paper for publication -choose and perform simple and more advanced statistical analyses -describe the statistical methods and present the results of an analysis. This new edition covers a wider range of statistical programs - SAS, STATA, R, and SPSS, and shows the commands needed to obtain the analyses and how to present it, whichever program you are using. Each specific example is annotated to indicate other scenarios that can be analysed using the same methods, allowing you to easily transpose the knowledge gained from the book to your own research. The principles of good presentation are also covered in detail, from translating relevant results into suitable extracts, through to randomised controlled trials, and how to present a meta-analysis. An added ingredient is the inclusion of code and datasets for all analyses shown in the book on our website (http://medical-statistics.info). Written by three experienced biostatisticians based in the UK and US, this is a step-by-step guide that will be invaluable to researchers and postgraduate students in medicine, those working in the professions allied to medicine, and statisticians in consultancy roles.