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Winner of IIE Book of the Month, December 2013The introduction of reverse supply chains has created many challenges in network design, transportation, selection of used products, selection and evaluation of suppliers, performance measurement, marketing-related issues, end-of-life (EOL) alternative selection, remanufacturing, disassembly, and produc
Presents the capabilities and features of new ideas and concepts in the information systems development, database, and forthcoming technologies. Provides a representation of topnotch research in all areas of systems analysis and design and databases.
No language teaching program should be designed without a thorough analysis of the students' needs. The studies in this volume explore Needs Analysis in the public, vocational and academic sectors, in contexts ranging from service encounters in coffee shops to foreign language needs assessment in the U.S. military. In each chapter, the authors explicitly discuss the methodoldogy they employed, and in some cases also offer research findings on that methodology. Several studies are task-based, making the collection of special interest to those involved in task-based language teaching. Contributions include work on English and other languages in both second and foreign language settings, as well as a comprehensive overview of methodological issues in Needs Analysis by the editor.
This volume presents contributions on handling data in which the postulate of independence in the data matrix is violated. When this postulate is violated and when the methods assuming independence are still applied, the estimated parameters are likely to be biased, and statistical decisions are very likely to be incorrect. Problems associated with dependence in data have been known for a long time, and led to the development of tailored methods for the analysis of dependent data in various areas of statistical analysis. These methods include, for example, methods for the analysis of longitudinal data, corrections for dependency, and corrections for degrees of freedom. This volume contains the following five sections: growth curve modeling, directional dependence, dyadic data modeling, item response modeling (IRT), and other methods for the analysis of dependent data (e.g., approaches for modeling cross-section dependence, multidimensional scaling techniques, and mixed models). Researchers and graduate students in the social and behavioral sciences, education, econometrics, and medicine will find this up-to-date overview of modern statistical approaches for dealing with problems related to dependent data particularly useful.
Describes various commonly used methods of initial factoring and factor rotation. In addition to a full discussion of exploratory factor analysis, confirmatory factor analysis and various methods of constructing factor scales are also presented.
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.
This book contains papers from the symposium "Critical Issues, Current and Emerging Technologies for Determination of Crude Fat Content in Food, Feed and Seeds," held in 2003 at the AOCS Annual Meeting in Kansas City, Missouri. The topics covered give a broad perspective of the challenges and issues of the value-added enhanced products. This book w
The branch of clinical psychology known as behavior modification or, synonymously, applied behavior analysis, has grown substantially from humble beginnings in the 1960s. Many colleges and universities now offer courses in applied behavior analysis, and more than a few grant degrees in the area. Although they remain controversial, behavior mod ification procedures have been used to good advantage in dealing with a range of problem behaviors and are now rather widely employed in schools, residential institutions, and other therapeutic facilities. The two hallmarks of applied behavior analysis are utilization of the principles of operant conditioning to improve human behavior and utilization of scientific research methodology to assess the effectiveness of treatments. The present text provides an overview of several issues peculiar to applied behavior analysis research methodology. Six general areas of concern are (a) trends in applied behavior analysis research, (b) assessment and measurement issues, (c) experimental designs and strategies, (d) interpretation of findings, (e) ethical issues in applied behavior analysis, and (f) the societal impact of studies in the area. As evidenced by a sizable number of recently published articles, these topics are of considerable interest to behavior analysts. They also are relevant for students of scientific epistemology and general psychological research methods.