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In textbooks and courses in statistics, substantive and measurement issues are rarely, if at all, considered. Similarly, textbooks and courses in measurement virtually ignore design and analytic questions, and research design textbooks and courses pay little attention to analytic and measurement issues. This fragmentary approach fosters a lack of appreciation of the interrelations and interdependencies among the various aspects of the research endeavor. Pedhazur and Schmelkin's goal is to help readers become proficient in these aspects of research and their interrelationships, and to use that information in a more integrated manner. The authors offer extensive commentaries on inputs and outputs of computer programs in the context of the topics presented. Both the organization of the book and the style of presentation allow for much flexibility in choice, sequence, and degree of sophistication with which topics are dealt.
First published in 1986, this unique reference to clinical experimentation remains just as relevant today. Focusing on the principles of design and analysis of studies on human subjects, this book utilizes and integrates both modern and classical designs. Coverage is limited to experimental comparisons of treatments, or in other words, clinical studies in which treatments are assigned to subjects at random.
"Measurement Error and Research Design is an ideal text for research methods courses across the social sciences, especially those in which a primer on measurement is needed. For the novice researcher, this book facilitates understanding of the basic principles required to design measures and methods for empirical research. For the experienced researcher, this book provides an in-depth analysis and discussion of the essence of measurement error and the procedures to minimize it. Most important, the book's unique approach bridges measurement and methodology through clear illustrations of the intangibles of scientific research."--BOOK JACKET.
Written for people of various professions and offering a modern approach to using value analysis for product development, this is a structured process that unites interdisciplinary teams in an organization to select and analyze projects in terms of investment potential and to integrate quality and productivity. It contains four sections that describe the nature, measurement, design and management of value.
A comprehensive overview of different approaches to the measurement of situation awareness in experimental and applied setting, this book directly tackles the problem of ensuring that system designs and training programs are effective at promoting situation awareness. It is the first book to provide a all-inclusive coverage of situation awareness and its measurement. Topics addressed provide a detailed analysis of the use of a wide variety of techniques for measuring situation awareness and situation assessment processes. It provides a rich resource for engineers and human factors psychologists involved in designing and evaluating systems in many domains.
Research Methods in Occupational Health Psychology: Measurement, Design, and Data Analysis provides a state-of-the-art review of current issues and best practices in the science of Occupational Health Psychology. Occupational Health Psychology (OHP) is a multidisciplinary and rapidly growing area of research and it is difficult or impossible for researchers to keep up with developments in all of the fields where scholars conduct OHP science. This book will help OHP scholars improve their own research by translating recent innovations in methodology into sets of concrete recommendations that will help scholars improve their own research as well as their training of future researchers.
Tutorial in nature, this book is based on a series of papers presented at a workshop in Japan. It constitutes the first single-volume guide to the basic methods of analyzing microstrip patch antennas, and the characteristics of rectangular, circular and arbitrarily shaped patch antennas. Supported by 273 equations, tables and illustrations this book should prove a useful tool for anyone doing applied research in antennas.
Concerned with statistical problems of assessing the dependability, precision and bias of measurements. Using a practical approach, it features enough theoretical material enabling users of relevant techniques to understand why and how the vast array of concepts and methods can be applied. Coverage includes analysis of variance, linear regression and chi-square tests for two-way contingency tables.
by Paul E. Green I am honored and pleased to respond to authors request to write a Fore word for this excellent collection of essays on conjoint analysis and related topics. While a number of survey articles and sporadic book chapters have appeared on the subject, to the best of my knowledge this book represents the first volume of contributed essays on conjoint analysis. The book re flects not only the geographical diversity of its contributors but also the variety and depth of their topics. The development of conjoint analysis and its application to marketing and business research is noteworthy, both in its eclectic roots (psychometrics, statistics, operations research, economics) and the fact that its development reflects the efforts of a large variety of professionals -academics, market ing research consultants, industry practitioners, and software developers. Reasons for the early success and diffusion of conjoint analysis are not hard to find. First, by the early sixties, precursory psychometric techniques (e.g., multidimensional scaling and correspondence analysis, cluster analy sis, and general multivariate techniques) had already shown their value in practical business research and application. Second, conjoint analysis pro vided a new and powerful array of methods for tackling the important problem of representing and predicting buyer preference judgments and choice behavior-clearly a major problem area in marketing.
Given our rapidly changing world, companies are virtually forced to engage in continuous performance monitoring. Though Key Performance Indicators (KPIs) may at times seem to be the real driving force behind social systems, economies and organizations, they can also have far-reaching normative effects, which can modify organizational behavior and influence key decisions – even to the point that organizations themselves tend to become what they measure! Selecting the right performance indicators is hardly a simple undertaking. This book describes in detail the main characteristics of performance measurement systems and summarizes practical methods for defining KPIs, combining theoretical and practical aspects. These descriptions are supported by a wealth of practical examples. The book is intended for all academics, professionals and consultants involved in the analysis and management of KPIs.