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This book is about how to reduce large data sets down to the critical few high-risk subsets.
SUMMARY This book is a comprehensive guide aimed at novice researchers seeking to understand and apply various data collection techniques effectively. The book breaks down complex research methodologies into easy-to-understand concepts, making it accessible to readers with limited prior knowledge in research methods. Through clear explanations and practical examples, it covers a range of data collection methods, including surveys, interviews, observations and document analysis. Additionally, it emphasizes the importance of ethical considerations and provides practical tips for ensuring data quality and reliability. Whether conducting academic research or practical projects, this book serves as a valuable resource for individuals looking to enhance their research skills and achieve meaningful results.
Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.
The book "Biostatistics and Research Simplified: A Theoretical and Practical Approach" is a valuable resource tailored for undergraduate and postgraduate students, along with researchers engaging in research projects and theses. Its comprehensive content and approach make it an ideal companion for those seeking a deeper understanding of biostatistics and research methodologies.
This compact and concise text, based on the rich and vast experience of the author gained while training thousands of individuals, explains in detail what Six Sigma is and why it is necessary to adapt the process. It explains the methodology, tools to be used, and the Six Sigma implementation process. The book describes how to define a problem, how to measure the key inputs and outputs, and how to collect and analyse the data. It discusses the method of identifying the problems, solutions and, with this, to improve the problem process to get Six Sigma output on a continuous basis. The book gives details of how to impart training on the Six Sigma concepts, tools and implementation methodology to master black belts, black belts and green belts. It contains a detailed syllabus for the training, and the method of selecting the trainers. This book should prove extremely useful to students of engineering, especially Production/Mechanical Engineering and Industrial Engineering and Management, and postgraduate students of business management. It will be of immense value to all the organisations which wish to achieve highest quality outputs. KEY FEATURES : Illustrates all the tools to be used in each of the phases with ready to use templates using the MS Excel work sheets. Explains step-by-step the implementation process and how to record the results. Describes the data collection process and forms to be used for different types of data. Discusses how to control all the processes to ensure stability in the process. Contains a number of case studies to help both students and professionals.
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"Psychological Testing by Theresa J. B. Kline is an accessible, easy-to-read book that effectively communicates the current concepts, trends, and controversies in the field of psychological testing. Readers are provided with an in-depth analysis of psychometrics in a format that will keep their attention and that they will be able to relate to the significance of psychological testing across numerous areas such as schools, businesses, clinical settings, military, or government." -Todd L. Chmielewski, PsycCRITIQUES, December 7, 2005 VOL. 50, NO. 49, ARTICLE 12 Psychological Testing: A Practical Approach to Design and Evaluation offers a fresh and innovative approach to students and faculty in the fields of testing, measurement, psychometrics, research design, and related areas of study. Author Theresa J.B. Kline guides readers through the process of designing and evaluating a test, while ensuring that the test meets the highest professional standards. The author uses simple, clear examples throughout and fully details the required statistical analyses. Topics include—but are not limited to—design of item stems and responses; sampling strategies; classical and modern test theory; IRT program examples; reliability of tests and raters; validation using content, criterion-related, and factor analytic approaches; test and item bias; and professional and ethical issues in testing. With the student in mind, Kline has created features that ease them into more difficult ideas, always stressing the practical use of theoretical concepts. Features include A step-by-step approach to designing a test, including construct identification, construct operationalization, collecting data, item assessment, and reliability and validity techniques Examples of data analyses with printouts and interpretation Up-to-date coverage of psychometric topics, such as difference scores, change scores, translation, computer adaptive testing, reliability and validity generalization, professional and ethical guidelines, and references IRT program outputs (dichotomous and multiple response) Coverage of traditional topics in the context of how they would be used, such as standard errors and confidence intervals Sampling approaches and their strengths and weaknesses, as well as response rates and missing data management Psychological Testing is perfectly suited as a main text for upper-level undergraduate and graduate Testing or Psychometrics courses in departments of Psychology, Education, Sociology, Management, and in the Human Services disciplines. Professional researchers, educators, and consultants will also want to add this to their libraries for up-to-date coverage of test design and evaluation techniques. "Professor Kline′s attempts to de-mystify complex measurement concepts are beautifully simplified and illustrated in her countless illustrations of practical and relevant problems for the mathematically-challenged student. This book is also a must-have for those who simply do not have the desire for the theoretical jargon used in similar textbooks but are interested in the important conceptual and practical aspects of measurement as they apply in their disciplines." —Arturo Olivarez, Jr., Texas Tech University "Kline′s Psychological Testing provides a well-written treatment of the critical issues in designing and evaluating psychometric instruments. This book will be very useful to advanced undergraduate students, graduate students, and researchers." —Richard Block, Montana State University
Hari Suman Naik takes the perspective of modular systems and investigates how to enable non-expert users to innovate and design, by simplifying toolkit solution space. New production technologies like digital fabrication and modular electronics along with appropriate toolkits can offer users a significant design flexibility to innovate solutions that meet their heterogeneous and sticky needs. The author contributes towards understanding and designing toolkit solution space, first using qualitative studies to explore mechanisms for simplifying the use and structure of toolkit solution space, and then using a design study of an innovative toolkit. The findings are relevant to innovation and product managers eager to incorporate user ideas with toolkits.
This volume explores the scientific frontiers and leading edges of research across the fields of anthropology, economics, political science, psychology, sociology, history, business, education, geography, law, and psychiatry, as well as the newer, more specialized areas of artificial intelligence, child development, cognitive science, communications, demography, linguistics, and management and decision science. It includes recommendations concerning new resources, facilities, and programs that may be needed over the next several years to ensure rapid progress and provide a high level of returns to basic research.