Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research
Fundamentals of Applied Multidimensional Scaling for Educational and Psychological Research

Author: Cody S. Ding

Publisher: Springer

Published: 2018-04-09

Total Pages: 197

ISBN-13: 3319781723

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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
Statistical Methods for Experimental Research in Education and Psychology

Author: Jimmie Leppink

Publisher: Springer

Published: 2019-05-30

Total Pages: 301

ISBN-13: 3030212416

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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
The Reviewer’s Guide to Quantitative Methods in the Social Sciences

Author: Gregory R. Hancock

Publisher: Routledge

Published: 2018-11-15

Total Pages: 777

ISBN-13: 1317627784

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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.

The Art of Modelling the Learning Process
The Art of Modelling the Learning Process

Author: Jimmie Leppink

Publisher: Springer Nature

Published: 2020-04-06

Total Pages: 276

ISBN-13: 3030430820

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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
Fundamentals and Frontiers of Medical Education and Decision-Making

Author: Jordan Richard Scheonherr

Publisher: Taylor & Francis

Published: 2024-07-22

Total Pages: 339

ISBN-13: 1040048544

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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.

Fundamentals of Research on Culture and Psychology
Fundamentals of Research on Culture and Psychology

Author: Valery Chirkov

Publisher: Routledge

Published: 2015-11-19

Total Pages: 326

ISBN-13: 1317666100

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This unique text covers the core research methods and the philosophical assumptions that underlie various strategies, designs, and methodologies used when researching cultural issues. It teaches readers why and for what purpose one conducts research on cultural issues so as to give them a better sense of the thinking that should happen before they go out and collect data. More than a "methods text", it is about all the steps that go into doing cross-cultural research. It discusses how to select the most appropriate methods for data analysis and which approach to use, and details quantitative, qualitative, and mixed methods for experimental lab studies and ethnographic field work.

Applied Multivariate Research
Applied Multivariate Research

Author: Lawrence S. Meyers

Publisher: SAGE

Published: 2013

Total Pages: 1105

ISBN-13: 141298811X

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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.

Essentials of Job Attitudes and Other Workplace Psychological Constructs
Essentials of Job Attitudes and Other Workplace Psychological Constructs

Author: Valerie I. Sessa

Publisher: Routledge

Published: 2020-12-21

Total Pages: 332

ISBN-13: 1000282856

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Although the topic of job attitudes and other workplace psychological constructs such as perceptions, identity, bonds, and motivational states is important, there are no books addressing the topic as a whole. Essentials of Job Attitudes and Other Workplace Psychological Constructs seeks to fill that void in a comprehensive edited volume that compiles chapters by experts on each construct. Essentials of Job Attitudes and Other Workplace Psychological Constructs begins with a review of the concept of job attitudes and other workplace psychological constructs, then devotes a single chapter to each construct. These chapters focus on organizational justice, perceived organizational support, organizational identification, job involvement, workplace commitments, job embeddedness, job satisfaction, employee engagement, and team-related work attitudes. Each of these chapters addresses parallel content including definitions, history, theory, a critique of the field to date with future research recommendations, and how the given construct can be used in practice. There are two additional features that make this book unique: first, each chapter provides a nomological network figure of the workplace psychological construct addressed; and second, each chapter provides one or more of the current measures used to assess the construct of interest. Essentials of Job Attitudes and Other Workplace Psychological Constructs is an ideal text for students and professionals in industrial-organizational psychology, organizational behavior, and human resource management.

Modern Multidimensional Scaling
Modern Multidimensional Scaling

Author: Ingwer Borg

Publisher: Springer Science & Business Media

Published: 2013-04-18

Total Pages: 469

ISBN-13: 1475727119

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Multidimensional scaling (MDS) is a technique for the analysis of similarity or dissimilarity data on a set of objects. Such data may be intercorrelations of test items, ratings of similarity on political candidates, or trade indices for a set of countries. MDS attempts to model such data as distances among points in a geometric space. The main reason for doing this is that one wants a graphical display of the structure of the data, one that is much easier to understand than an array of numbers and, moreover, one that displays the essential information in the data, smoothing out noise. There are numerous varieties of MDS. Some facets for distinguishing among them are the particular type of geometry into which one wants to map the data, the mapping function, the algorithms used to find an optimal data representation, the treatment of statistical error in the models, or the possibility to represent not just one but several similarity matrices at the same time. Other facets relate to the different purposes for which MDS has been used, to various ways of looking at or "interpreting" an MDS representation, or to differences in the data required for the particular models. In this book, we give a fairly comprehensive presentation of MDS. For the reader with applied interests only, the first six chapters of Part I should be sufficient. They explain the basic notions of ordinary MDS, with an emphasis on how MDS can be helpful in answering substantive questions.

Applied Psychology in Talent Management
Applied Psychology in Talent Management

Author: Wayne F. Cascio

Publisher: SAGE Publications

Published: 2024-05-28

Total Pages: 700

ISBN-13: 1071912062

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This text provides the most comprehensive, future-oriented overview of psychological theories and how they impact people decisions in today′s workplace with integrated coverage of technology, strategy, globalization, and social responsibility.