LEADER 04360nam 22005175 450 001 9910300106103321 005 20200706033906.0 010 $a3-319-78172-3 024 7 $a10.1007/978-3-319-78172-3 035 $a(CKB)4100000003359576 035 $a(MiAaPQ)EBC5344850 035 $a(DE-He213)978-3-319-78172-3 035 $a(PPN)226699234 035 $a(EXLCZ)994100000003359576 100 $a20180409d2018 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aFundamentals of Applied Multidimensional Scaling for Educational and Psychological Research /$fby Cody S. Ding 205 $a1st ed. 2018. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2018. 215 $a1 online resource (197 pages) 311 $a3-319-78171-5 320 $aIncludes bibliographical references and index. 327 $aChapter 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. 330 $aThis 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. . 606 $aStatistics 606 $aPsychometrics 606 $aEducation?Research 606 $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040 606 $aPsychometrics$3https://scigraph.springernature.com/ontologies/product-market-codes/Y43000 606 $aResearch Methods in Education$3https://scigraph.springernature.com/ontologies/product-market-codes/O54000 615 0$aStatistics. 615 0$aPsychometrics. 615 0$aEducation?Research. 615 14$aStatistics for Social Sciences, Humanities, Law. 615 24$aPsychometrics. 615 24$aResearch Methods in Education. 676 $a519.535 700 $aDing$b Cody S$4aut$4http://id.loc.gov/vocabulary/relators/aut$0768252 906 $aBOOK 912 $a9910300106103321 996 $aFundamentals of Applied Multidimensional Scaling for Educational and Psychological Research$91564741 997 $aUNINA