Multivariate Analysis for the Behavioral Sciences

Kimmo Ilari Vehkalahti, Brian Everitt

Tutkimustuotos: Kirja/raporttiKirjaTieteellinenvertaisarvioitu

Abstrakti

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter.

After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysis, including principal components analysis, factor analysis, multidimensional scaling, correspondence analysis, and cluster analysis.
Alkuperäiskielienglanti
JulkaisupaikkaBoca Raton, Florida
KustantajaChapman & Hall / CRC
Painos2nd Edition
Sivumäärä415
ISBN (painettu)9780815385158
ISBN (elektroninen)9781351202275
TilaJulkaistu - 8 tammik. 2019
OKM-julkaisutyyppiC1 Kustannettu tieteellinen erillisteos

Julkaisusarja

NimiStatistics in the Social and Behavioral Sciences Series
KustantajaChapman & Hall/CRC

Lisätietoja

Data sets, R codes of examples and exercises openly available in GitHub: https://github.com/KimmoVehkalahti/MABS

Tieteenalat

  • 112 Tilastotiede
  • 515 Psykologia

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