1.

Record Nr.

UNISA990001098280203316

Autore

WOLDENDORP, Jaap

Titolo

Party government in 48 democracies 1945-1998 : composition, duration, personnel / by Jaap Woldendorp, Hans Keman and Ian Budge

Pubbl/distr/stampa

Dordrecht [etc.] : Kluwer academic, 2000

ISBN

0-7923-6727-8

Descrizione fisica

XII,580 p. ; 24 cm

Altri autori (Persone)

KEMAN, Hans

BUDGE, Ian

Disciplina

321.8

Soggetti

Democrazia - Studio comparato

Collocazione

321.8 WOL 1 (ISP IV 1112)

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia



2.

Record Nr.

UNINA9910300120503321

Autore

Borg Ingwer

Titolo

Applied Multidimensional Scaling and Unfolding / / by Ingwer Borg, Patrick J.F. Groenen, Patrick Mair

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018

ISBN

3-319-73471-7

Edizione

[2nd ed. 2018.]

Descrizione fisica

1 online resource (IX, 122 p. 65 illus.)

Collana

SpringerBriefs in Statistics, , 2191-544X

Disciplina

001.4226

Soggetti

Statistics

Psychometrics

Mathematics

Visualization

Social sciences—Data processing

Social sciences—Computer programs

Statistics and Computing/Statistics Programs

Statistics for Social Sciences, Humanities, Law

Statistics for Life Sciences, Medicine, Health Sciences

Computational Social Sciences

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

1 First steps -- 2 The purpose of MDS and Unfolding -- 3 The fit of MDS and Unfolding solutions -- 4 Proximities -- 5 Variants of MDS models -- 6 Confirmatory MDS -- 7 Typical mistakes in MDS -- 8 Unfolding -- 9 MDS algorithms -- 10 MDS Software -- Subject Index.

Sommario/riassunto

This book introduces multidimensional scaling (MDS) and unfolding as data analysis techniques for applied researchers. MDS is used for the analysis of proximity data on a set of objects, representing the data as distances between points in a geometric space (usually of two dimensions). Unfolding is a related method that maps preference data (typically evaluative ratings of different persons on a set of objects) as distances between two sets of points (representing the persons and the objects, resp.). This second edition has been completely revised to



reflect new developments and the coverage of unfolding has also been substantially expanded. Intended for applied researchers whose main interests are in using these methods as tools for building substantive theories, it discusses numerous applications (classical and recent), highlights practical issues (such as evaluating model fit), presents ways to enforce theoretical expectations for the scaling solutions, and addresses the typical mistakes that MDS/unfolding users tend to make. Further, it shows how MDS and unfolding can be used in practical research work, primarily by using the smacof package in the R environment but also Proxscal in SPSS. It is a valuable resource for psychologists, social scientists, and market researchers, with a basic understanding of multivariate statistics (such as multiple regression and factor analysis).