This book discusses advanced statistics which fall into multivariate statistics category. Most of the procedures described in this book employ more complex variable relationship. Consequently the calculation becomes more difficult. One of the advantages using these procedures is that we can employ many variables in our researches. One of the goals is to get more accurate results due to the more completed explanation. By using the IBM SPSS, the calculation can be made easier for the users. Besides, we can calculate the data very quickly and the result becomes more accurate. The contents of the books are as follows: • Basic Concepts • Classification of Variables’ Relationship • Basic Theories Used in IBM SPSS • Multiple Linear Regression with Complex Variables • Canonical Correlation with Complex Variables • Factorial ANOVA • Multiple Discriminant Analysis • Logistic Regression • Multivariate Analysis of Variance (MANOVA) • Cluster Analysis • Multidimensional Scaling • Factor Analysis • Exercises and Samples of Researches
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