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INTRODUCTION TO MULTIVARIATE STATISTICS Dr. Debdulal Dutta Roy, Ph.D. (Psy.) Psychology Research Unit Indian Statistical Institute Kolkata – 700 108 E-mail:ddroy@isical.ac.in (o) [email_address] http://www.isical.ac.in/~ddroy/abstract.html
The Institute ,[object Object],[object Object]
MYTHS ,[object Object],[object Object]
Myth 2 ,[object Object],[object Object]
Myth 3 ,[object Object],[object Object]
What is MVS ? ,[object Object],[object Object],[object Object]
List of Multivariate Statistical Tools Can we assess their perception, beliefs and attitudes ?
List of Multivariate Statistical Tools ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
List of Multivariate Research  Questions on Women and Child development
Multivariate Research Questions for Women & Child Development (Difference Perspective) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multivariate Research Questions for Women & Child Development (Relation Perspective) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some studies on Application of Multivariate statistics
Principal Component Analysis ,[object Object]
Study on Principal Component Analysis ,[object Object],[object Object]
Significant correlations suggest possible latent structure of relationship signifying latent meaning  1 0.19** 0.08* -0.03 0.04 0.25** 0.01 0.11* 0.22** 0.20** 0.29** 0.21** 0.33** Health checkup 13     1 0.05 0.15** 0.18** 0.07 -0.04 -0.01 -0.02 0.20** 0.17** 0 Book bank 11       1 0.30** 0.27** 0.24** 0.21** 0.34** 0.14** 0.07 0.05 0.11* Cultural programme 10         1 0.31** 0.33** 0.21** 0.24** 0.14** 0.11* 0.09* 0.08* Games 9           1 0.24** 0.31** 0.29** 0.21** 0.34** 0.30** 0.32** Friend 8             1 0.23** 0.24** 0.20** 0.05 -0.06 0.13** TLM 7               1 0.43** 0.41** 0.23** 0.11* 0.36** Book 6                 1 0.38** 0.27** 0.22** 0.38** Teaching 5                   1 0.22** 0.09* 0.33** Black board 4                     1 0.61** 0.28** Toilet 3                       1 0.25** Drinking Water 2                         1 Classroom 1 13 12 11 10 9 8 7 6 5 4 3 2 1    
Extraction of Factors using PCA 1.34 1.67 3.5 Eigen Value -0.17 0.46 0.38 Health checkup 0.26 -0.02 0.49 Mid-day meal 0.36 0.47 -0.35 Book bank 0.63 -0.01 0.19 Cultural Programme 0.74 0.11 0.07 Games 0.44 0.49 0.24 Friend 0.63 -0.09 0.21 TLM 0.25 0.07 0.68 Book 0.29 0.19 0.63 Teaching 0.1 0.06 0.7 Black board 0.03 0.79 0.2 Toilet -0.03 0.81 0.06 Drinking Water -0.03 0.35 0.62 Class room Activity based Infrastructure Supportive Infrastructure Basic Infrastructure Infrastructures
Plot of Eigenvalues
Limitation of PCA ,[object Object],[object Object]
Correspondence Analysis ,[object Object],[object Object],[object Object],[object Object]
Study on CA ,[object Object],[object Object],[object Object]
INPUT TABLE FOR CA ,[object Object],[object Object]
Correspondence Map of 14 Row and 5 Col. variables
Cluster Analysis  ,[object Object]
Tree diagram based on cluster analysis
MANOVA ,[object Object],0 9,153 5.13 0.77 School 0 9,562 6.49 0.9 Blocks 0 452,499 14.44 0.35 District 0 9,242 3.03 0.9 S-E-S 0 9,532 5.06 0.92 Religion NS 9,558 1.76 0.97 Gender P-value df Rao’s R Wilks’ Lambda Variables
Fisher’s Linear Discriminant Functions for differentiating Schools with Good and Poor Infrastructure -15.57 -26.27 Constant 2.03 2.58 Equal Opportunity 4.51 6.2 Reliability 3.76 4.93 Comfort -0.45 -1.27 Safety -0.46 5.05 Cleanliness Poor  Infrastructure Good Infrastructure Attitudinal Dimensions 0 5 101.41 0.53 0.687 0.9 P-Value Df Chi-Square Wilk's Lambda Canonical Correlation Eigen Values
Classification Matrix of Good and poor schools in terms of infrastructure availability Correct Classification Percentage= (75+60)/163 x 100=82.8 100 76.9 23.1   Poor 100 11.8 88.2 Percentage Good 163 70 93   Total 78 60 18 Poor 85 10 75 Count Good Total Predicted Group  Poor Infrastructure Predicted Group  Good Infrastructure Original Group
Box-plot Analysis of Discriminant Scores  between Good and Poor Infrastructure Schools.
Some of my studies on MVS  ,[object Object],[object Object],[object Object],[object Object],[object Object]
Thank You

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Statistics

  • 1. INTRODUCTION TO MULTIVARIATE STATISTICS Dr. Debdulal Dutta Roy, Ph.D. (Psy.) Psychology Research Unit Indian Statistical Institute Kolkata – 700 108 E-mail:ddroy@isical.ac.in (o) [email_address] http://www.isical.ac.in/~ddroy/abstract.html
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. List of Multivariate Statistical Tools Can we assess their perception, beliefs and attitudes ?
  • 8.
  • 9. List of Multivariate Research Questions on Women and Child development
  • 10.
  • 11.
  • 12. Some studies on Application of Multivariate statistics
  • 13.
  • 14.
  • 15. Significant correlations suggest possible latent structure of relationship signifying latent meaning 1 0.19** 0.08* -0.03 0.04 0.25** 0.01 0.11* 0.22** 0.20** 0.29** 0.21** 0.33** Health checkup 13     1 0.05 0.15** 0.18** 0.07 -0.04 -0.01 -0.02 0.20** 0.17** 0 Book bank 11       1 0.30** 0.27** 0.24** 0.21** 0.34** 0.14** 0.07 0.05 0.11* Cultural programme 10         1 0.31** 0.33** 0.21** 0.24** 0.14** 0.11* 0.09* 0.08* Games 9           1 0.24** 0.31** 0.29** 0.21** 0.34** 0.30** 0.32** Friend 8             1 0.23** 0.24** 0.20** 0.05 -0.06 0.13** TLM 7               1 0.43** 0.41** 0.23** 0.11* 0.36** Book 6                 1 0.38** 0.27** 0.22** 0.38** Teaching 5                   1 0.22** 0.09* 0.33** Black board 4                     1 0.61** 0.28** Toilet 3                       1 0.25** Drinking Water 2                         1 Classroom 1 13 12 11 10 9 8 7 6 5 4 3 2 1    
  • 16. Extraction of Factors using PCA 1.34 1.67 3.5 Eigen Value -0.17 0.46 0.38 Health checkup 0.26 -0.02 0.49 Mid-day meal 0.36 0.47 -0.35 Book bank 0.63 -0.01 0.19 Cultural Programme 0.74 0.11 0.07 Games 0.44 0.49 0.24 Friend 0.63 -0.09 0.21 TLM 0.25 0.07 0.68 Book 0.29 0.19 0.63 Teaching 0.1 0.06 0.7 Black board 0.03 0.79 0.2 Toilet -0.03 0.81 0.06 Drinking Water -0.03 0.35 0.62 Class room Activity based Infrastructure Supportive Infrastructure Basic Infrastructure Infrastructures
  • 18.
  • 19.
  • 20.
  • 21.
  • 22. Correspondence Map of 14 Row and 5 Col. variables
  • 23.
  • 24. Tree diagram based on cluster analysis
  • 25.
  • 26. Fisher’s Linear Discriminant Functions for differentiating Schools with Good and Poor Infrastructure -15.57 -26.27 Constant 2.03 2.58 Equal Opportunity 4.51 6.2 Reliability 3.76 4.93 Comfort -0.45 -1.27 Safety -0.46 5.05 Cleanliness Poor Infrastructure Good Infrastructure Attitudinal Dimensions 0 5 101.41 0.53 0.687 0.9 P-Value Df Chi-Square Wilk's Lambda Canonical Correlation Eigen Values
  • 27. Classification Matrix of Good and poor schools in terms of infrastructure availability Correct Classification Percentage= (75+60)/163 x 100=82.8 100 76.9 23.1   Poor 100 11.8 88.2 Percentage Good 163 70 93   Total 78 60 18 Poor 85 10 75 Count Good Total Predicted Group Poor Infrastructure Predicted Group Good Infrastructure Original Group
  • 28. Box-plot Analysis of Discriminant Scores between Good and Poor Infrastructure Schools.
  • 29.