Multivariate Applications in the Social Sciences
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advanced multivariate research design
analysis
Average Subscale Score
canonical
Canonical Correlation
canonical correlation analysis
Canonical Loadings
Canonical Vectors
Category=JHBC
Causal Schema
Core Matrix
correlation
correlations
diagnostic information processing
Dimension II
Dissimilarity Statements
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
EU
Fitting Linear Combination
Group Stimulus Space
Higher Order Factors
impression formation theory
interpersonal
interpersonal perception models
judgments
Main Effect ANOVA
MMPI
multidimensional
multidimensional scaling
Orthogonal Procrustes
P2 P3 P4 P5 P6
pairwise
Pairwise Judgments
perception
Profile Similarity Indices
psychophysics methods
Salience Weights
Study Iii
Underlying Process Model
Vice Versa
weights
Product details
- ISBN 9780898591521
- Weight: 720g
- Dimensions: 152 x 229mm
- Publication Date: 01 Nov 1982
- Publisher: Taylor & Francis Inc
- Publication City/Country: US
- Product Form: Hardback
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First published in 1982. Textbooks in multivariate methods proliferate, but there are few books concerned with their application. Experimental psychology and its associated method of statistical data analysis, analysis of variance, has tended to dominate psychological thinking even in such areas as social and clinical psychology, two areas that are particularly ill-suited to simple analysis-of-variance statistical models. The recent emphasis of clinical and social psychology on applied research relevant to social problems requires that more attention be paid to multivariate methods and appropriate research designs. this book illustrates and examines the multivariate approach alone, this does not imply that a multivariate approach combined with an experimental approach would not in the long run provide the best overall research design. The present collection of multivariate applications introduces some of the kinds of research problem that can be tackled by means of multivariate statistical analysis.
Nancy Hirschberg University of Illinois at Chicago Circle, Lloyd G. Humphreys University of Illinois at Urbana-Champaign.
