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Economics/Finances Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS by Robert Ho

Posted on 2010-03-16




Name:Economics/Finances Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS by Robert Ho
ASIN/ISBN:1584886021
Language:English
File size:36 Mb
ISBN: 1584886021
Publish Date: March 24, 2006
File Type: PDF
Pages: 424 pages
File Size: 36 Mb
Other Info: Chapman & Hall/CRC; 1 edition
   Economics/Finances Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS by Robert Ho



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Handbook of Univariate and Multivariate Data Analysis and Interpretation with SPSS by Robert Ho

This Handbook describe all over about Univariate and Multivariate analysis including the example problem and solved it with SPSS. The descpription is very clear and easy to understand. This is the Excellent book.

The main strengths of the book are: (a) its hands-on approach, (b) the choice of a user-friendly software to teach how to apply statistical methods, and (c) the clarity with which the statistical methods and the context of their applicability are explained. Learning to analyze data with SPSS with this handbook is very easy even for those rusty in their introductory statistical background. The reader that completes the book is ready to use the SPSS manuals available elsewhere. The index is very useful. …The authors do indeed provide clear guidelines to both the execution of the specific statistical tests with SPSS and the research designs for which they are relevant.

-Juana Sanchez, University of California at Los Angeles, Journal of Statistical Software, Vol. 16, July 2006

The main strengths of the book are: (a) its hands-on approach, (b) the choice of a user-friendly software to teach how to apply statistical methods, and (c) the clarity with which the statistical methods and the context of their applicability are explained. Learning to analyze data with SPSS with this handbook is very easy even for those rusty in their introductory statistical background. The reader that completes the book is ready to use the SPSS manuals available elsewhere. The index is very useful. …The authors do indeed provide clear guidelines to both the execution of the specific statistical tests with SPSS and the research designs for which they are relevant.

—Juana Sanchez, University of California, Los Angeles, Journal of Statistical Software, Vol. 16, July 2006

This hardback covers most statistical methods provided by SPSS Base software in an easily understood manner, due in part to its liberal use of SPSS output and screenshots. … The inclusion of SPSS syntax is a strong selling point, as well as the focus on interpretation of SPSS output. It is an excellent choice for graduate students and researchers outside the statistics community who use SPSS …

—J. Wade Davis, University of Missouri, The American Statistician, August 2008

… main strengths are the choice of easy-to-use software to apply statistical methods and the clarity of explanations. Learning to analyse data with SPSS with this handbook is very easy even for those who are rusty … . I found no typological errors … author’s aims have been achieved. This is the best book I have found for demonstrating statistical methods with SPSS. I recommend it highly for all…

—Venkata Putcha, Kings College, London, UK

…The click-by-click instructions would clearly be useful for beginners to SPSS … The examples and methods all have a strong social science flavor, which is consistent with the aims of the book. … This book would therefore seem to be most appropriate for statisticians or practitioners in the social sciences … the book can help more experienced SPSS users who want to learn to write syntax files. …

—Biometrics, December 2006

Table of Content:

1. Inferential Statistics and Test Selection

2. Introduction to SPSS

3. Multiple Response

4. T-Test for Independent Groups

5. Paired-Samples T-Test

6. One-Way Analysis of Variance, with Post Hoc Comparisons

7. Factorial Analysis of Variance

8. General Linear Model (GLM) Multivariate Analysis

9. General Linear Model: Repeated Measures Analysis

10. Correlation

11. Linear Regression

12. Factor Analysis

13. Reliability

14. Multiple Regression

15. Structural Equation Modeling

16. Nonparametric Tests

and others....

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