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
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7. List of Multivariate Statistical Tools Can we assess their perception, beliefs and attitudes ?
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.