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Author: Hermanus Johannes Adèr
Publisher: Johannes van Kessel Publishing.
ISBN: 9079418013
Category : Epidemiology
Languages : en
Pages : 578
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Book Description
Author: Hermanus Johannes Adèr
Publisher: Johannes van Kessel Publishing.
ISBN: 9079418013
Category : Epidemiology
Languages : en
Pages : 578
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Book Description
Author: Hermanus Johannes Adèr
Publisher:
ISBN: 9789079418091
Category : Psychology
Languages : en
Pages : 574
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Book Description
Author: Herman Ader
Publisher: Johannes van Kessel Advising
ISBN: 9079418307
Category : Social Science
Languages : en
Pages : 213
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Book Description
This reader contains a collection of articles based on presentations held at the KNAW Colloquium `Advising on research methods' held in March 2007 in Amsterdam. Contribution by Janice Derr, Hilde Tobi, Gerald van Belle, Victor van Daal, Robert Pool, Jules Ellis, Bo Lu and Herman Adèr on a variety of topics but all related to statistical advising. For a table of contents, see: http://www.knaw.nl/colloquia/advising/index.cfm#proceedings
Author: Adèr & Mellenbergh (Eds.)
Publisher: Johannes van Kessel Publ.
ISBN: 9079418137
Category :
Languages : en
Pages : 128
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Book Description
Author: Gideon J. Mellenbergh
Publisher: Springer
ISBN: 3030122727
Category : Psychology
Languages : en
Pages : 385
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Book Description
This book describes methods to prevent avoidable errors and to correct unavoidable ones within the behavioral sciences. A distinguishing feature of this work is that it is accessible to students and researchers of substantive fields of the behavioral sciences and related fields (e.g., health sciences and social sciences). Discussed are methods for errors that come from human and other factors, and methods for errors within each of the aspects of empirical studies. This book focuses on how empirical research is threatened by different types of error, and how the behavioral sciences in particular are vulnerable due to the study of human behavior and human participation in studies. Methods to counteract errors are discussed in depth including how they can be applied in all aspects of empirical studies: sampling of participants, design and implementation of the study, instrumentation and operationalization of theoretical variables, analysis of the data, and reporting of the study results. Students and researchers of methodology, psychology, education, and statistics will find this book to be particularly valuable. Methodologists can use the book to advice clients on methodological issues of substantive research.
Author: AA. VV.
Publisher: FrancoAngeli
ISBN: 8856855828
Category : Design
Languages : en
Pages : 177
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Book Description
85.84
Author: Addo-Tenkorang, Richard
Publisher: IGI Global
ISBN: 1522500227
Category : Business & Economics
Languages : en
Pages : 306
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Book Description
With the rise of global competitiveness among industries, it has become increasingly vital to develop novel strategies to assist in optimizing value-chain networks, thus helping to secure economic success. By employing engineer-to-order practices, many enterprises have improved their manufacturing processes. Supply Chain Strategies and the Engineer-to-Order Approach evaluates innovative processes and original operational models, frameworks, and architectures in the topic areas of industrial engineering and management science. Featuring optimized enterprise chain management strategies and emergent research within the field, this book is an essential reference source for professional, academics, and researchers specializing in enterprise operations and engineer-to-order procedures.
Author: Jim Goes
Publisher: Dissertation Recipes LLC
ISBN: 1546643885
Category : Education
Languages : en
Pages : 365
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Book Description
A Dissertation Guide for Professional Learners Doctoral education has changed dramatically over the last three decades. Traditionally, pursuit of a doctoral or research credential involved intense study at a large, traditional research university, and was reserved for those seeking careers in academia or research. The process of completing doctoral level work at traditional universities usually required a commitment to full time study, varied tremendously between institutions, and was often somewhat mysterious. Today, all this has changed. The emergence and growth of online education has led to a proliferation of doctoral learning possibilities for busy professionals. Individuals in the industry, nonprofit, and education are sectors are pursuing doctoral study as a means to advance their careers, increase their market value in the workplace, and establish their professional stature. If this sounds like you, then you have come to the right place. Recipes for Success is the book that will launch you on a successful quest for the doctoral degree. Dissertations are very personal endeavors and accomplishments, originating with problems and issues that are meaningful and important to the doctoral learner. These professionals are deeply grounded in their understanding of the issues and needs of their profession. Recipes build on this this understanding, helping learners to discover and frame issues they are passionate about, and construct a credible and influential research study around this passion. While most dissertation guides focus largely or exclusively on the mechanics of writing and organization, Recipes approaches dissertation development as an iterative process of thinking and self-reflection that leads learners to discover what matters most to them and to their professions, and enables them to frame this meaning into a research problem and purpose, and to organize and execute a study design to fit, and thus solve the problem and achieve the purpose. From the very beginning of your doctoral journey to the ultimate achievement of degree completion, this book is your guide to the process and content of dissertation and research creation. In Recipes for Success, we articulate a process by which you can build the pieces of a successful and influential dissertation. Using a workbook approach rich in tools, templates, frameworks, examples, web integration, and hard-won lessons from experience, Recipes provides a friendly, easy to navigate process crafting issues and ideas into research and results. Based on our 40+ years of collective experience in the online educational setting, mentoring over 300 professional learners to success in completing their doctorates (including numerous award winners), we identify the most important factors for success and the traps to avoid. Whether you are considering doctoral study, are already in a doctoral program, or are working to develop and complete your dissertation, you will find Recipes for Success a key ingredient in your success as a doctoral learner. Our graduates tell us that Recipes is THE book that made a difference in their doctoral career and success. YOU can do it too! Good luck on your doctoral journey!
Author: J. P. Verma
Publisher: John Wiley & Sons
ISBN: 1119528402
Category : Mathematics
Languages : en
Pages : 227
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Book Description
Comprehensively teaches the basics of testing statistical assumptions in research and the importance in doing so This book facilitates researchers in checking the assumptions of statistical tests used in their research by focusing on the importance of checking assumptions in using statistical methods, showing them how to check assumptions, and explaining what to do if assumptions are not met. Testing Statistical Assumptions in Research discusses the concepts of hypothesis testing and statistical errors in detail, as well as the concepts of power, sample size, and effect size. It introduces SPSS functionality and shows how to segregate data, draw random samples, file split, and create variables automatically. It then goes on to cover different assumptions required in survey studies, and the importance of designing surveys in reporting the efficient findings. The book provides various parametric tests and the related assumptions and shows the procedures for testing these assumptions using SPSS software. To motivate readers to use assumptions, it includes many situations where violation of assumptions affects the findings. Assumptions required for different non-parametric tests such as Chi-square, Mann-Whitney, Kruskal Wallis, and Wilcoxon signed-rank test are also discussed. Finally, it looks at assumptions in non-parametric correlations, such as bi-serial correlation, tetrachoric correlation, and phi coefficient. An excellent reference for graduate students and research scholars of any discipline in testing assumptions of statistical tests before using them in their research study Shows readers the adverse effect of violating the assumptions on findings by means of various illustrations Describes different assumptions associated with different statistical tests commonly used by research scholars Contains examples using SPSS, which helps facilitate readers to understand the procedure involved in testing assumptions Looks at commonly used assumptions in statistical tests, such as z, t and F tests, ANOVA, correlation, and regression analysis Testing Statistical Assumptions in Research is a valuable resource for graduate students of any discipline who write thesis or dissertation for empirical studies in their course works, as well as for data analysts.
Author: J. P. Verma
Publisher: John Wiley & Sons
ISBN: 1119052505
Category : Science
Languages : en
Pages : 280
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Book Description
Introduces the applications of repeated measures design processes with the popular IBM® SPSS® software Repeated Measures Design for Empirical Researchers presents comprehensive coverage of the formation of research questions and the analysis of repeated measures using IBM SPSS and also includes the solutions necessary for understanding situations where the designs can be used. In addition to explaining the computation involved in each design, the book presents a unique discussion on how to conceptualize research problems as well as identify appropriate repeated measures designs for research purposes. Featuring practical examples from a multitude of domains including psychology, the social sciences, management, and sports science, the book helps readers better understand the associated theories and methodologies of repeated measures design processes. The book covers various fundamental concepts involved in the design of experiments, basic statistical designs, computational details, differentiating independent and repeated measures designs, and testing assumptions. Along with an introduction to IBM SPSS software, Repeated Measures Design for Empirical Researchers includes: A discussion of the popular repeated measures designs frequently used by researchers, such as one-way repeated measures ANOVA, two-way repeated measures design, two-way mixed design, and mixed design with two-way MANOVA Coverage of sample size determination for the successful implementation of designing and analyzing a repeated measures study A step-by-step guide to analyzing the data obtained with real-world examples throughout to illustrate the underlying advantages and assumptions A companion website with supplementary IBM SPSS data sets and programming solutions as well as additional case studies Repeated Measures Design for Empirical Researchers is a useful textbook for graduate- and PhD-level students majoring in biostatistics, the social sciences, psychology, medicine, management, sports, physical education, and health. The book is also an excellent reference for professionals interested in experimental designs and statistical sciences as well as statistical consultants and practitioners from other fields including biological, medical, agricultural, and horticultural sciences. J. P. Verma, PhD, is Professor of Statistics and Director of the Center for Advanced Studies at Lakshmibai National Institute of Physical Education, India. Professor Verma is an active researcher in sports modeling and data analysis and has conducted many workshops on research methodology, research designs, multivariate analysis, statistical modeling, and data analysis for students of management, physical education, social science, and economics. He is the author of Statistics for Exercise Science and Health with Microsoft® Office Excel®, also published by Wiley.
