Fundamentals Of Applied Multidimensional Scaling For Educational And Psychological Research
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Fundamentals Of Applied Multidimensional Scaling For Educational And Psychological Research
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Author : Cody S. Ding
language : en
Publisher: Springer
Release Date : 2018-04-09
Fundamentals Of Applied Multidimensional Scaling For Educational And Psychological Research written by Cody S. Ding and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-09 with Social Science categories.
This book explores the fundamentals of multidimensional scaling (MDS) and how this analytic method can be used in applied setting for educational and psychological research. The book tries to make MDS more accessible to a wider audience in terms of the language and examples that are more relevant to educational and psychological research and less technical so that the readers are not overwhelmed by equations. The goal is for readers to learn the methods described in this book and immediately start using MDS via available software programs. The book also examines new applications that have previously not been discussed in MDS literature. It should be an ideal book for graduate students and researchers to better understand MDS. Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research is divided into three parts. Part I covers the basic and fundamental features of MDS models pertaining to applied research applications. Chapters in this section cover the essential features of data that are typically associated with MDS analysis such as preference ration or binary choice data, and also looking at metric and non-metric MDS models to build a foundation for later discussion and applications in later chapters. Part II examines specific MDS models and its applications for education and psychology. This includes spatial analysis methods that can be used in MDS to test clustering effect of items and individual differences MDS model (INDSCAL). Finally, Part III focuses on new applications of MDS analysis in these research fields. These new applications consist of profile analysis, longitudinal analysis, mean-level change, and pattern change. The book concludes with a historical review of MDS development as an analytical method and a look to future directions.
Statistical Methods For Experimental Research In Education And Psychology
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Author : Jimmie Leppink
language : en
Publisher: Springer
Release Date : 2019-05-30
Statistical Methods For Experimental Research In Education And Psychology written by Jimmie Leppink and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-30 with Education categories.
This book focuses on experimental research in two disciplines that have a lot of common ground in terms of theory, experimental designs used, and methods for the analysis of experimental research data: education and psychology. Although the methods covered in this book are also frequently used in many other disciplines, including sociology and medicine, the examples in this book come from contemporary research topics in education and psychology. Various statistical packages, commercial and zero-cost Open Source ones, are used. The goal of this book is neither to cover all possible statistical methods out there nor to focus on a particular statistical software package. There are many excellent statistics textbooks on the market that present both basic and advanced concepts at an introductory level and/or provide a very detailed overview of options in a particular statistical software programme. This is not yet another book in that genre. Core theme of this book is a heuristic called the question-design-analysis bridge: there is a bridge connecting research questions and hypotheses, experimental design and sampling procedures, and common statistical methods in that context. Each statistical method is discussed in a concrete context of a set of research question with directed (one-sided) or undirected (two-sided) hypotheses and an experimental setup in line with these questions and hypotheses. Therefore, the titles of the chapters in this book do not include any names of statistical methods such as ‘analysis of variance’ or ‘analysis of covariance’. In a total of seventeen chapters, this book covers a wide range of topics of research questions that call for experimental designs and statistical methods, fairly basic or more advanced.
The Reviewer S Guide To Quantitative Methods In The Social Sciences
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Author : Gregory R. Hancock
language : en
Publisher: Routledge
Release Date : 2018-11-15
The Reviewer S Guide To Quantitative Methods In The Social Sciences written by Gregory R. Hancock and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-15 with Education categories.
The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.
Multidimensional Scaling
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Author : Joseph B. Kruskal
language : en
Publisher: SAGE Publications
Release Date : 1978-01-01
Multidimensional Scaling written by Joseph B. Kruskal and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978-01-01 with Social Science categories.
Outlines a set of techniques that enables a researcher to explore the hidden structure of large databases. These techniques use proximities to find a configuration of points that reflect the structure in the data.
The Art Of Modelling The Learning Process
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Author : Jimmie Leppink
language : en
Publisher: Springer Nature
Release Date : 2020-04-06
The Art Of Modelling The Learning Process written by Jimmie Leppink and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-06 with Education categories.
By uniting key concepts and methods from education, psychology, statistics, econometrics, medicine, language, and forensic science, this textbook provides an interdisciplinary methodological approach to study human learning processes longitudinally. This longitudinal approach can help to acquire a better understanding of learning processes, can inform both future learning and the revision of educational content and formats, and may help to foster self-regulated learning skills. The initial section of this textbook focuses on different types of research questions as well as practice-driven questions that may refer to groups or to individual learners. This is followed by a discussion of different types of outcome variables in educational research and practice, such as pass/fail and other dichotomies, multi-category nominal choices, ordered performance categories, and different types of quantifiable (i.e., interval or ratio level of measurement) variables. For each of these types of outcome variables, single-measurement and repeated-measurements scenarios are offered with clear examples. The book then introduces cross-sectional and longitudinal interdependence of learning-related variables through emerging network-analytic methods and in the final part the learned concepts are applied to different types of studies involving time series. The book concludes with some general guidelines to give direction to future (united) educational research and practice. This textbook is a must-have for all applied researchers, teachers and practitioners interested in (the teaching of) human learning, instructional design, assessment, life-long learning or applications of concepts and methods commonly encountered in fields such as econometrics, psychology, and sociology to educational research and practice.
Fundamentals And Frontiers Of Medical Education And Decision Making
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Author : Jordan Richard Scheonherr
language : en
Publisher: Taylor & Francis
Release Date : 2024-07-22
Fundamentals And Frontiers Of Medical Education And Decision Making written by Jordan Richard Scheonherr and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Medical categories.
Fundamentals and Frontiers of Medical Education and Decision-Making brings together international experts to consider the theoretical, practical, and sociocultural foundations of health professions education. In this volume, the authors review the foundational theories that have informed the early transition to competency-based education. Moving beyond these monolithic models, the authors draw from learning and psychological sciences to provide a means to operationalize competencies. The chapters cover fundamental topics including the transition from novices to experts, the development of psychomotor skills in surgery, the role of emotion and metacognition in decision-making, and how practitioners and laypeople represent and communicate health information. Each section provides chapters that integrate and advance our understanding of health professions education and decision- making. Grounded in psychological science, this book highlights the fundamental issues faced by healthcare professionals, and the frontiers of learning and decision-making. It is important reading for a wide audience of healthcare professionals, healthcare administrators, as well as researchers in judgment and decision-making.
Dimensionality Reduction In Machine Learning
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Author : Jamal Amani Rad
language : en
Publisher: Morgan Kaufmann
Release Date : 2025-02-04
Dimensionality Reduction In Machine Learning written by Jamal Amani Rad and has been published by Morgan Kaufmann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-04 with Computers categories.
Dimensionality Reduction in Machine Learning covers both the mathematical and programming sides of dimension reduction algorithms, comparing them in various aspects. Part One provides an introduction to Machine Learning and the Data Life Cycle, with chapters covering the basic concepts of Machine Learning, essential mathematics for Machine Learning, and the methods and concepts of Feature Selection. Part Two covers Linear Methods for Dimension Reduction, with chapters on Principal Component Analysis and Linear Discriminant Analysis. Part Three covers Non-Linear Methods for Dimension Reduction, with chapters on Linear Local Embedding, Multi-dimensional Scaling, and t-distributed Stochastic Neighbor Embedding.Finally, Part Four covers Deep Learning Methods for Dimension Reduction, with chapters on Feature Extraction and Deep Learning, Autoencoders, and Dimensionality reduction in deep learning through group actions. With this stepwise structure and the applied code examples, readers become able to apply dimension reduction algorithms to different types of data, including tabular, text, and image data. - Provides readers with a comprehensive overview of various dimension reduction algorithms, including linear methods, non-linear methods, and deep learning methods - Covers the implementation aspects of algorithms supported by numerous code examples - Compares different algorithms so the reader can understand which algorithm is suitable for their purpose - Includes algorithm examples that are supported by a Github repository which consists of full notebooks for the programming code
Applied Multivariate Research
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Author : Lawrence S. Meyers
language : en
Publisher: SAGE
Release Date : 2013
Applied Multivariate Research written by Lawrence S. Meyers and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with Mathematics categories.
For me the comprehensive nature of the text is most important - even when I don't cover topics in class students gain value by being able to read about cluster analysis or ROC analysis in enough detail that they can conduct their own analyses. Students appreciate the integration with SPSS. There is an appropriate balance of "practice" and background so that students learn what they need to know about the techniques but also learn how to implement and interpret the analysis.
Handbook Of Psychology Research Methods In Psychology
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Author : Irving B. Weiner
language : en
Publisher: John Wiley & Sons
Release Date : 2012-10-16
Handbook Of Psychology Research Methods In Psychology written by Irving B. Weiner and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-16 with Psychology categories.
Psychology is of interest to academics from many fields, as well as to the thousands of academic and clinical psychologists and general public who can't help but be interested in learning more about why humans think and behave as they do. This award-winning twelve-volume reference covers every aspect of the ever-fascinating discipline of psychology and represents the most current knowledge in the field. This ten-year revision now covers discoveries based in neuroscience, clinical psychology's new interest in evidence-based practice and mindfulness, and new findings in social, developmental, and forensic psychology.
Unidimensional Scaling
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Author : John McIver
language : en
Publisher: SAGE
Release Date : 1981
Unidimensional Scaling written by John McIver and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Mathematics categories.
Provides an introduction to the fundamentals of scaling theory and construction. The authors present an overview and comparative analysis of such techniques as Thurstone scaling, Likert scaling, Guttman scaling, and unfolding theory.