Primer of Multivariate Statistics

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A01=Richard J. Harris
advanced multivariate techniques for researchers
Author_Richard J. Harris
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canonical
Canonical Analysis
Canonical Coefficients
canonical correlation
Canonical Variates
Category=PBT
Category=PBW
combination
confirmatory factor analysis
Contrast Coefficients
correlation
D5 D6 D7 D8 D9
D6 D7 D8 D9 D10
Data Set
Discriminant Function
Discriminant Function Coefficients
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Factor Score Coefficients
group
Group Membership Variables
hierarchical linear modeling
Hotelling's T2
Hotelling’s T2
hypothesis
Largest Characteristic Root
linear
Main Diagonal Entry
matrix algebra applications
membership
multivariate data analysis
Null Hypothesis
Original Variables
Parsimonious GFI
principal component methods
Reduced Correlation Matrix
SMC
SPSS MANOVA
T2 Test
Total Head Length
UNIVARIATE ANOVA
variables
variates

Product details

  • ISBN 9780805832105
  • Weight: 1270g
  • Dimensions: 178 x 254mm
  • Publication Date: 01 May 2001
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.

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