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Handbook of Univariate and Multivariate Data Analysis with IBM SPSS by Robert Ho
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Item specifics
- Condition
- ISBN-13
- 9781439890219
- Book Title
- Handbook of Univariate and Multivariate Data Analysis with IBM SP
- ISBN
- 9781439890219
- Subject Area
- Mathematics, Computers, Social Science
- Publication Name
- Handbook of Univariate and Multivariate Data Analysis with Ibm SPSS
- Publisher
- CRC Press LLC
- Item Length
- 9.5 in
- Subject
- Mathematical & Statistical Software, Probability & Statistics / General, Statistics
- Publication Year
- 2013
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.5 in
- Item Weight
- 32.9 Oz
- Item Width
- 6.5 in
- Number of Pages
- 600 Pages
About this product
Product Identifiers
Publisher
CRC Press LLC
ISBN-10
1439890218
ISBN-13
9781439890219
eBay Product ID (ePID)
109274971
Product Key Features
Number of Pages
600 Pages
Language
English
Publication Name
Handbook of Univariate and Multivariate Data Analysis with Ibm SPSS
Subject
Mathematical & Statistical Software, Probability & Statistics / General, Statistics
Publication Year
2013
Type
Textbook
Subject Area
Mathematics, Computers, Social Science
Format
Hardcover
Dimensions
Item Height
1.5 in
Item Weight
32.9 Oz
Item Length
9.5 in
Item Width
6.5 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2013-034926
Dewey Edition
23
Reviews
Praise for the First Edition: "The click-by-click instructions would clearly be useful for beginners to SPSS e The examples and methods all have a strong social science flavor, which is consistent with the aims of the book. e This book would therefore seem to be most appropriate for statisticians or practitioners in the social sciences e the book can [also] help more experienced SPSS users who want to learn to write syntax files. e" e"Biometrics, December 2006 "e 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 e . I found no typological errors e authore(tm)s aims have been achieved. This is the best book I have found for demonstrating statistical methods with SPSS. I recommend it highly for alle" e"Venkata Putcha, Kings College, London, UK "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. eThe 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." e"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. e 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 e" e"J. Wade Davis, University of Missouri, The American Statistician, August 2008, Praise for the First Edition: "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 [also] help more experienced SPSS users who want to learn to write syntax files. …" -Biometrics, December 2006 "… 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 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, Praise for the First Edition: "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 [also] help more experienced SPSS users who want to learn to write syntax files. ..." --Biometrics, December 2006 "... 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 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, "Using IBM SPSS as the main statistical tool, Ho tries to alleviate the frustration of social sciences students when confronted with data analysis and is more than successful. In addition, this book can be very useful for applied researchers in other disciplines who intend to deal with data. Very efficiently, the author explains how to select and execute appropriate tests, together with interpretation of the relevant SPSS output. ... I strongly recommend [the book] to both students and researchers who already deal or will deal with data." -- Journal of Applied Statistics , 2015 Praise for the First Edition: "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 [also] help more experienced SPSS users who want to learn to write syntax files. ..." --Biometrics, December 2006 "... 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 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, "Using IBM SPSS as the main statistical tool, Ho tries to alleviate the frustration of social sciences students when confronted with data analysis and is more than successful. In addition, this book can be very useful for applied researchers in other disciplines who intend to deal with data. Very efficiently, the author explains how to select and execute appropriate tests, together with interpretation of the relevant SPSS output. ... I strongly recommend [the book] to both students and researchers who already deal or will deal with data." -- Journal of Applied Statistics , 2015 Praise for the First Edition: "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 [also] help more experienced SPSS users who want to learn to write syntax files. ..." --Biometrics, December 2006 "... 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 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 l 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
Illustrated
Yes
Dewey Decimal
005.55
Table Of Content
Inferential Statistics and Test Selection Introduction Inferential Statistics Test Selection Introduction to SPSS Introduction Setting Up a Data File SPSS Analysis: Windows Method versus Syntax Method Missing Data Multiple Response Aim Methods of MULT RESPONSE Procedures Example of the Multiple-Dichotomy Method Example of the Multiple-Response Method Cross-Tabulations t Test for Independent Groups Aim Checklist of Requirements Assumptions Example Paired-Samples t Test Aim Checklist of Requirements Assumption Example One-Way Analysis of Variance, with Post Hoc Comparisons Aim Checklist of Requirements Assumptions Example Factorial Analysis of Variance Aim Checklist of Requirements Assumptions Example 1: Two-Way Factorial (2x2 Factorial) Example 2: Three-Way Factorial (2x2x2 Factorial) General Linear Model (GLM) Multivariate Analysis Aim Checklist of Requirements Assumptions Example 1: GLM Multivariate Analysis: One-Sample Test Example 2: GLM Multivariate Analysis: Two-Sample Test Example 3: GLM: 2x2x4 Factorial Design General Linear Model: Repeated Measures Analysis Aim Assumption Example 1: GLM: One-Way Repeated Measures Example 2: GLM: Two-Way Repeated Measures (Doubly Multivariate Repeated Measures) Example 3: GLM: Two-Factor Mixed Design (One Between-Groups Variable and One Within-Subjects Variable) Example 4: GLM: Three-Factor Mixed Design (Two Between-Groups Variables and One Within-Subjects Variable) Correlation Aim Requirements Assumptions Example 1: Pearson Product Moment Correlation Coefficient Testing Statistical Significance between Two Correlation Coefficients Obtained from Two Samples Example 2: Spearman Rank Order Correlation Coefficient Linear Regression Aim Requirements Assumptions Example: Linear Regression Factor Analysis Aim Checklist of Requirements Assumptions Factor Analysis: Example 1 Factor Analysis: Example 2 Reliability Aim Example: Reliability Multiple Regression Aim Multiple Regression Techniques Checklist of Requirements Assumptions Multicollinearity Example 1: Prediction Equation and Identification of Independent Relationships (Forward Entry of Predictor Variables) Example 2: Hierarchical Regression Example 3: Path Analysis Example 4: Path Analysis--Test of Significance of the Mediation Hypothesis Multiple Discriminant Analysis Aim Checklist of Requirements Assumptions Example 1: Two-Group Discriminant Analysis Example 2: Three-Group Discriminant Analysis Logistic Regression Aim Checklist of Requirements Assumptions Example: Two-Group Logistic Regression Canonical Correlation Analysis Aim Checklist of Requirements Assumptions Key Terms in Canonical Correlation Analysis An Example of Canonical Correlation Analysis Structural Equation Modeling What Is Structural Equation Modeling (SEM)? The Role of Theory in SEM The Structural Equation Model Goodness-of-Fit Criteria Model Assessment Improving Model Fit Problems with Estimation Checklist of Requirements Assumptions Examples of Structural Equation Modeling Example 1: Linear Regression with Observed Variables Example 2: Regression with Unobserved (Latent) Variables Example 3: Multi-Model Path Analysis with Latent Variables Example 4: Multi-Group Analysis Example 5: Second-Order Confirmatory Factor (CFA) Analysis Nonparametric Tests Aim Chi-Square ( x 2) Test for Single Variable Experiments Chi-Square ( x 2) Test of Independence between Two Variables Mann-Whitney U Test for Two Independent Samples Kruskal-Wallis Test for Several Independent Samples Wilcoxon Signed Rank Test for Two Related Samples Friedman Test for Several Related Samples Appendix: Summary of SPSS Syntax Files Bibliography Index
Edition Description
Revised edition,New Edition
Synopsis
Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second Edition Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation New section on how to deal with missing data Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book's CRC Press web page.
LC Classification Number
HA32
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