東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁 到查詢結果 [ subject:"Multidimensional scaling." ]

切換: 標籤 | MARC模式 | ISBD

Fundamentals of applied multidimensi...

SpringerLink (Online service)

FindBook

Google Book

Amazon

博客來

Fundamentals of applied multidimensional scaling for educational and psychological research

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fundamentals of applied multidimensional scaling for educational and psychological research/ by Cody S. Ding.
作者:	Ding, Cody S.
出版者:	Cham :Springer International Publishing : : 2018.,
面頁冊數:	x, 197 p. :ill., digital ;24 cm.
內容註:	Chapter 1: Introduction -- Chapter 2: Data issues of MDS -- Chapter 3: Metric vas non-metric MDS model -- Chapter 4: Model selection and interpretation -- Chapter 5: Basic MDS analysis -- Chapter 6: Visualization of data structure by MDS -- Chapter 7: Individual differences MDS analysis -- Chapter 8: MDS Preference Analysis -- Chapter 9: Configuration Similarities -- Chapter 10: Latent Profile analysis -- Chapter 11: Longitudinal analysis using MDS -- Chapter 12: Testing pattern hypotheses with MDS -- Chapter 13: Mean-level change vs. pattern change -- Chapter 14: Historical review.
Contained By:	Springer eBooks
標題:	Multidimensional scaling. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-78172-3
ISBN:	9783319781723

Fundamentals of applied multidimensional scaling for educational and psychological research
Ding, Cody S.

Fundamentals of applied multidimensional scaling for educational and psychological research[electronic resource] /by Cody S. Ding. - Cham :Springer International Publishing :2018. - x, 197 p. :ill., digital ;24 cm.

Chapter 1: Introduction -- Chapter 2: Data issues of MDS -- Chapter 3: Metric vas non-metric MDS model -- Chapter 4: Model selection and interpretation -- Chapter 5: Basic MDS analysis -- Chapter 6: Visualization of data structure by MDS -- Chapter 7: Individual differences MDS analysis -- Chapter 8: MDS Preference Analysis -- Chapter 9: Configuration Similarities -- Chapter 10: Latent Profile analysis -- Chapter 11: Longitudinal analysis using MDS -- Chapter 12: Testing pattern hypotheses with MDS -- Chapter 13: Mean-level change vs. pattern change -- Chapter 14: Historical review.

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.

ISBN: 9783319781723

Standard No.: 10.1007/978-3-319-78172-3doiSubjects--Topical Terms:

565929
Multidimensional scaling.

LC Class. No.: BF39.2.M85 / D564 2018

Dewey Class. No.: 519.535

Fundamentals of applied multidimensional scaling for educational and psychological research
LDR:03321nmm a2200289 a 4500 001 2137046
003 DE-He213
005 20181011141509.0
006 m d
007 cr nn 008maaau
008 181117s2018 gw s 0 eng d
020 $a 9783319781723 $q (electronic bk.)
020 $a 9783319781716 $q (paper)
024 7 $a 10.1007/978-3-319-78172-3 $2 doi
035 $a 978-3-319-78172-3
040 $a GP $c GP
041 0 $a eng
050 4 $a BF39.2.M85 $b D564 2018
082 0 4 $a 519.535 $2 23
090 $a BF39.2.M85 $b D584 2018
100 1 $a Ding, Cody S. $3 3309053
245 1 0 $a Fundamentals of applied multidimensional scaling for educational and psychological research $h [electronic resource] / $c by Cody S. Ding.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2018.
300 $a x, 197 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1: Introduction -- Chapter 2: Data issues of MDS -- Chapter 3: Metric vas non-metric MDS model -- Chapter 4: Model selection and interpretation -- Chapter 5: Basic MDS analysis -- Chapter 6: Visualization of data structure by MDS -- Chapter 7: Individual differences MDS analysis -- Chapter 8: MDS Preference Analysis -- Chapter 9: Configuration Similarities -- Chapter 10: Latent Profile analysis -- Chapter 11: Longitudinal analysis using MDS -- Chapter 12: Testing pattern hypotheses with MDS -- Chapter 13: Mean-level change vs. pattern change -- Chapter 14: Historical review.
520 $a 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.
650 0 $a Multidimensional scaling. $3 565929
650 0 $a Education $x Research $x Methodology. $3 523770
650 0 $a Psychology $x Research $x Methodology. $3 517105
650 1 4 $a Statistics. $3 517247
650 2 4 $a Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law. $3 894294
650 2 4 $a Psychometrics. $3 520603
650 2 4 $a Research Methods in Education. $3 3219447
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-78172-3
950 $a Mathematics and Statistics (Springer-11649)