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Author: Cody S. Ding
Publisher: Springer
ISBN: 3319781723
Category : Social Science
Languages : en
Pages : 197
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Book Description
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.
Author: Cody S. Ding
Publisher: Springer
ISBN: 3319781723
Category : Social Science
Languages : en
Pages : 197
Get Book
Book Description
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.
Author: Jimmie Leppink
Publisher: Springer
ISBN: 3030212416
Category : Education
Languages : en
Pages : 301
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Book Description
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.
Author: Jimmie Leppink
Publisher: Springer Nature
ISBN: 3030430820
Category : Education
Languages : en
Pages : 276
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Book Description
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.
Author: Peter M. Davies
Publisher: Heinemann Educational Publishers
ISBN: 9780435822545
Category : Multidimensional scaling
Languages : en
Pages : 349
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Book Description
Author: Valery Chirkov
Publisher: Routledge
ISBN: 1317666100
Category : Psychology
Languages : en
Pages : 326
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Book Description
This is the first book that provides detailed guidelines of how to conduct multi-disciplinary research to study people’s behaviors in different cultures. Readers are encouraged to look beyond disciplinary boundaries to address issues between individuals and their socio-cultural environments so as to design the most effective studies possible. The core philosophical and theoretical assumptions that underlie the strategies, designs, and techniques used when researching cultural issues are examined. The book reviews all the steps that go into doing cultural research from formulating the research problem to selecting the most appropriate method for data analysis. Realist and interpretivist paradigms together with the theory of cultural models and quantitative, qualitative, mixed-method, and multiple-design strategies are reviewed. Case studies, ethnographies, and interviewing techniques are emphasized throughout. Chapters open with learning objectives and end with a conclusion, a glossary, questions, exercises, and recommended readings. Numerous multidisciplinary examples, tables, and figures demonstrate and synthesize the analysis of data. Information boxes provide historical notes and how-to boxes provide tips on methodological issues. Highlights include: -Encourages researchers to breach disciplinary boundaries to address the problems of human functioning in different cultures (Chs. 1 & 2). -Introduces readers to the theory of cultural models that helps bridge the human mind and socio-cultural realities (Chs. 2 & 10). -Propagates the realist and interpretivist philosophical paradigms for doing cultural studies and demonstrates how to use these approaches when studying people in different cultures (Chs. 3 & 4). -Helps readers formulate productive research questions, articulate concepts, and understand the role theories play in cultural research (Ch. 5 - 6). -Reviews research designs including case-based and variable-based ones, person-centered ethnography, interviewing, and quantitative studies (Chs. 7 - 10). -www.routledge.com/9780415820325/ provides instructors with Power Points, additional references and studies, and questions for discussion and evaluation for each chapter and students with chapter outlines and objectives, key terms and concepts with a hotlink to the definition, and suggested readings and websites. Part 1 explores disciplinary and theoretical thinking to help readers connect different disciplines, theories, and philosophical paradigms in a logical way. Part 2 reviews planning research with an emphasis on defining the research problem. Here readers learn to articulate the purpose of the study and the research questions, work with related conceptual and theoretical foundations, and identify various research strategies including nomothetic and idiographic approaches, variable- and case-based studies, and potential sampling problems. Part 3 reviews the practical aspects of doing cultural research -- how to use various research designs including experimental, quasi-experimental, correlational studies, mixed method designs, and ethnographic and qualitative studies. Methodological problems specific to researching cultural issues such as the equivalence of concepts, the translation of instruments, and verifying measurement invariance are reviewed. Readers are also introduced to ethnography including practical elements such as language training, formal document requirements, and issues related to working in an unfamiliar community. The book concludes with the most crucial aspects of conducting ethical cultural psychological research. Intended for advanced undergraduate or graduate courses that conduct cultural or cross-cultural research including cross-(cultural) psychology, culture and psychology, or research methods/design courses in psychology, anthropology, sociology, cultural studies, social work, education, geography, international relations, business, nursing, public health, and communication, the book also appeals to researchers interested in conducting cross-cultural and cultural studies. Prerequisites include introductory courses on research methods and cross-cultural/cultural psychology.
Author: Lawrence S. Meyers
Publisher: SAGE
ISBN: 141298811X
Category : Social Science
Languages : en
Pages : 1105
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Book Description
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.
Author: Lawrence S. Meyers
Publisher: SAGE Publications
ISBN: 1506329780
Category : Social Science
Languages : en
Pages : 938
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Book Description
Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.
Author: K. N. Krishnaswamy
Publisher: Pearson Education India
ISBN: 8131797708
Category : Management
Languages : en
Pages : 600
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Book Description
The subject of management research methodology is enthralling and complex. A student or a practitioner of management research is beguiled by uncertainties in the search and identification of the research problem, intrigued by the ramifications of research design, and confounded by obstacles in obtaining accurate data and complexities of data analysis. Management Research Methodology: Integration of Principles, Methods and Techniques seeks a balanced treatment of all these aspects and blends problem-solving techniques, creativity aspects, mathematical modelling and qualitative approaches in order to present the subject of Management Research Methodology in a lucid and easily understandable way.
Author: Michael J. Kolen
Publisher: Springer Science & Business Media
ISBN: 1493903179
Category : Social Science
Languages : en
Pages : 566
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Book Description
This book provides an introduction to test equating, scaling and linking, including those concepts and practical issues that are critical for developers and all other testing professionals. In addition to statistical procedures, successful equating, scaling and linking involves many aspects of testing, including procedures to develop tests, to administer and score tests and to interpret scores earned on tests. Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research. In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests. In the third edition, each chapter contains a reference list, rather than having a single reference list at the end of the volume The themes of the third edition include: * the purposes of equating, scaling and linking and their practical context * data collection designs * statistical methodology * designing reasonable and useful equating, scaling, and linking studies * importance of test development and quality control processes to equating * equating error, and the underlying statistical assumptions for equating
Author: Forrest W. Young
Publisher:
ISBN:
Category : Multidimensional scaling
Languages : en
Pages : 14
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Book Description
