Coverart for item
The Resource Fundamentals of applied multidimensional scaling for educational and psychological research, Cody S. Ding, (electronic book)

Fundamentals of applied multidimensional scaling for educational and psychological research, Cody S. Ding, (electronic book)

Label
Fundamentals of applied multidimensional scaling for educational and psychological research
Title
Fundamentals of applied multidimensional scaling for educational and psychological research
Statement of responsibility
Cody S. Ding
Creator
Author
Subject
Language
eng
Summary
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.
Member of
Cataloging source
N$T
http://library.link/vocab/creatorName
Ding, Cody S
Dewey number
519.535
Index
index present
LC call number
BF39.2.M85
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/subjectName
  • Multidimensional scaling
  • Education
  • Psychology
  • Statistics
  • Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
  • Psychometrics
  • Research Methods in Education
Label
Fundamentals of applied multidimensional scaling for educational and psychological research, Cody S. Ding, (electronic book)
Instantiates
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Contents; Part I Basics of MDS Models; Chapter 1: Introduction; 1.1 What Is Multidimensional Scaling; 1.2 Differences and Similarities Between MDS, Factor Analysis, and Cluster Analysis; 1.2.1 MDS and Factor Analysis; 1.2.2 MDS and Cluster Analysis; 1.3 Conclusion; References; Chapter 2: Data Issues in MDS; 2.1 A Look at Data; 2.2 Data Source; 2.3 Data Design; 2.4 Data Conditionality; 2.5 Some Implications; 2.6 MDS Computer Programs; 2.7 Conclusion; References; Chapter 3: The MDS Models: Basics; 3.1 Model: Coordinates and Distance
  • 3.2 Vector Representation of the Distance in a Geometric Space3.3 Metric Model; 3.3.1 Torgerson's Metric Model; 3.3.2 Metric Least Square Model; 3.4 Non-metric Model; 3.5 Individual Differences Models; 3.5.1 Weighted Euclidean Model or INDSCAL; 3.5.2 The Tucker-Messick Model; 3.5.3 PINDIS; 3.6 Preference or Unfolding Models; 3.6.1 Vector Representation of Preference; 3.6.2 Distance (Point-Point) Representation of Preference; 3.6.3 Single-Ideal Point Model; 3.7 The MDS Model Using Maximum Likelihood Estimation; 3.8 Conclusion; References; Chapter 4: Model Selection and Interpretation
  • 4.1 Assess Model Fit4.2 Interpretation; 4.3 Transformation of Configuration; 4.4 Conclusion; References; Part II Specific MDS Model and Its Applications; Chapter 5: MDS Analysis Using Basic MDS Model; 5.1 An Illustrative Example: Study Item Structure; 5.2 Basic MDS Analysis; 5.2.1 Data Transformation; 5.2.2 Finding the MDS Solution; 5.2.3 Assessing a MDS Solution; 5.3 Dimensionality and Interpretation of a MDS Solution; 5.3.1 Dimensionality; 5.3.2 Interpretation; 5.4 Applications of Basic MDS Analysis in Educational and Psychological Research; 5.5 Conclusion; References
  • Chapter 6: Visualization of Latent Factor Structure6.1 Visualization as a Formal Analytic Method; 6.2 Two-Dimensional Latent Factor Map Using MDS; 6.2.1 Spatial Analysis of Randomness in Configuration; 6.2.2 Spatial Analysis of Clustering Effect in Configuration; 6.3 Illustration Based on Stimulation Data; 6.3.1 Two- to Five-Factor Structures; 6.3.2 Three-Factor Structure; 6.3.3 Four-Factor Structure; 6.3.4 Five-Factor Structure; 6.4 Case Study 1: Identify Latent Structure of the Behavioral Activation for Depression Scale (BADS); 6.5 Case Study 2: Identify Latent Structure of DIBLES
  • 6.6 ConclusionReferences; Chapter 7: Individual Differences MDS Model; 7.1 Ideas of INDSCAL; 7.2 Estimation of Group Configuration and Individual Dimensional Weights; 7.3 Dimensionality and Interpretation; 7.4 Useful Applications of INDSCAL Analysis; 7.5 INDSCAL Analysis of DIBELS; 7.6 Conclusion; References; Chapter 8: MDS Preference Analysis; 8.1 Basic Ideas of Preference MDS; 8.2 Preference Analysis Using PREFSCAL; 8.3 MDS Single-Ideal Point Model; 8.4 Conclusion; References; Chapter 9: Configuration Similarities; 9.1 Basic Ideas of Configural Similarity; 9.2 Procrustes Analysis
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9783319781723
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-78172-3
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1031214387
  • (OCoLC)1031214387
Label
Fundamentals of applied multidimensional scaling for educational and psychological research, Cody S. Ding, (electronic book)
Publication
Antecedent source
unknown
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Intro; Preface; Contents; Part I Basics of MDS Models; Chapter 1: Introduction; 1.1 What Is Multidimensional Scaling; 1.2 Differences and Similarities Between MDS, Factor Analysis, and Cluster Analysis; 1.2.1 MDS and Factor Analysis; 1.2.2 MDS and Cluster Analysis; 1.3 Conclusion; References; Chapter 2: Data Issues in MDS; 2.1 A Look at Data; 2.2 Data Source; 2.3 Data Design; 2.4 Data Conditionality; 2.5 Some Implications; 2.6 MDS Computer Programs; 2.7 Conclusion; References; Chapter 3: The MDS Models: Basics; 3.1 Model: Coordinates and Distance
  • 3.2 Vector Representation of the Distance in a Geometric Space3.3 Metric Model; 3.3.1 Torgerson's Metric Model; 3.3.2 Metric Least Square Model; 3.4 Non-metric Model; 3.5 Individual Differences Models; 3.5.1 Weighted Euclidean Model or INDSCAL; 3.5.2 The Tucker-Messick Model; 3.5.3 PINDIS; 3.6 Preference or Unfolding Models; 3.6.1 Vector Representation of Preference; 3.6.2 Distance (Point-Point) Representation of Preference; 3.6.3 Single-Ideal Point Model; 3.7 The MDS Model Using Maximum Likelihood Estimation; 3.8 Conclusion; References; Chapter 4: Model Selection and Interpretation
  • 4.1 Assess Model Fit4.2 Interpretation; 4.3 Transformation of Configuration; 4.4 Conclusion; References; Part II Specific MDS Model and Its Applications; Chapter 5: MDS Analysis Using Basic MDS Model; 5.1 An Illustrative Example: Study Item Structure; 5.2 Basic MDS Analysis; 5.2.1 Data Transformation; 5.2.2 Finding the MDS Solution; 5.2.3 Assessing a MDS Solution; 5.3 Dimensionality and Interpretation of a MDS Solution; 5.3.1 Dimensionality; 5.3.2 Interpretation; 5.4 Applications of Basic MDS Analysis in Educational and Psychological Research; 5.5 Conclusion; References
  • Chapter 6: Visualization of Latent Factor Structure6.1 Visualization as a Formal Analytic Method; 6.2 Two-Dimensional Latent Factor Map Using MDS; 6.2.1 Spatial Analysis of Randomness in Configuration; 6.2.2 Spatial Analysis of Clustering Effect in Configuration; 6.3 Illustration Based on Stimulation Data; 6.3.1 Two- to Five-Factor Structures; 6.3.2 Three-Factor Structure; 6.3.3 Four-Factor Structure; 6.3.4 Five-Factor Structure; 6.4 Case Study 1: Identify Latent Structure of the Behavioral Activation for Depression Scale (BADS); 6.5 Case Study 2: Identify Latent Structure of DIBLES
  • 6.6 ConclusionReferences; Chapter 7: Individual Differences MDS Model; 7.1 Ideas of INDSCAL; 7.2 Estimation of Group Configuration and Individual Dimensional Weights; 7.3 Dimensionality and Interpretation; 7.4 Useful Applications of INDSCAL Analysis; 7.5 INDSCAL Analysis of DIBELS; 7.6 Conclusion; References; Chapter 8: MDS Preference Analysis; 8.1 Basic Ideas of Preference MDS; 8.2 Preference Analysis Using PREFSCAL; 8.3 MDS Single-Ideal Point Model; 8.4 Conclusion; References; Chapter 9: Configuration Similarities; 9.1 Basic Ideas of Configural Similarity; 9.2 Procrustes Analysis
Dimensions
unknown
Extent
1 online resource
File format
unknown
Form of item
online
Isbn
9783319781723
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-78172-3
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • on1031214387
  • (OCoLC)1031214387

Library Locations

Processing Feedback ...