# Performing Data Analysis Using IBM SPSS

## Book Description

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS®

*Performing Data Analysis Using IBM SPSS*® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output.

Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of *Performing Data Analysis Using IBM SPSS* covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis.

The book provides in-depth chapter coverage of:

- IBM SPSS statistical output
- Descriptive statistics procedures
- Score distribution assumption evaluations
- Bivariate correlation
- Regressing (predicting) quantitative and categorical variables
- Survival analysis
- t Test
- ANOVA and ANCOVA
- Multivariate group differences
- Multidimensional scaling
- Cluster analysis
- Nonparametric procedures for frequency data

*Performing Data Analysis Using IBM SPSS* is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.

### Table of Contents

Part 1. Getting Started With Ibm Spss®

Chapter 1. Introduction To Ibm Spss®

Chapter 2. Entering Data In Ibm Spss

Chapter 3. Importing Data From Excel To Ibm Spss®

Part 2. Obtaining, Editing, And Saving Statistical Output

Chapter 4. Performing Statistical Procedures In Ibm Spss®

Chapter 5. Editing Output

Chapter 6. Saving And Copying Output

Part 3. Manipulating Data

Chapter 7. Sorting And Selecting Cases

Chapter 8. Splitting Data Files

Chapter 9. Merging Data From Separate Files

Part 4. Descriptive Statistics Procedures

Chapter 10. Frequencies

Chapter 11. Descriptives

Chapter 12. Explore

Part 5. Simple Data Transformations

Chapter 13. Standardizing Variables To Z Scores

Chapter 14. Recoding Variables

Chapter 15. Visual Binning

Chapter 16. Computing New Variables

Chapter 17. Transforming Dates To Age

Part 6. Evaluating Score Distribution Assumptions

Chapter 18. Detecting Univariate Outliers

Chapter 19. Detecting Multivariate Outliers

Chapter 20. Assessing Distribution Shape: Normality, Skewness, And Kurtosis

Chapter 21. Transforming Data To Remedy Statistical Assumption Violations

Part 7. Bivariate Correlation

Chapter 22. Pearson Correlation

Chapter 23. Spearman Rho And Kendall Tau-B Rank-Order Correlations

Part 8. Regressing (Predicting) Quantitative Variables

Chapter 24. Simple Linear Regression

Chapter 25. Centering The Predictor Variable In Simple Linear Regression

Chapter 26. Multiple Linear Regression

Chapter 27. Hierarchical Linear Regression

Chapter 28. Polynomial Regression

Chapter 29. Multilevel Modeling

Part 9. Regressing (Predicting) Categorical Variables

Chapter 30. Binary Logistic Regression

Chapter 31. Roc Analysis

Chapter 32. Multinominal Logistic Regression

Part 10. Survival Analysis

Chapter 33. Survival Analysis: Life Tables

Chapter 34. The Kaplan–Meier Survival Analysis

Chapter 35. Cox Regression

Part 11. Reliability As A Gauge Of Measurement Quality

Chapter 36. Reliability Analysis: Internal Consistency

Chapter 37. Reliability Analysis: Assessing Rater Consistency

Part 12. Analysis Of Structure

Chapter 38. Principal Components And Factor Analysis

Chapter 39. Confirmatory Factor Analysis

Part 13. Evaluating Causal (Predictive) Models

Chapter 40. Simple Mediation

Chapter 41. Path Analysis Using Multiple Regression

Chapter 42. Path Analysis Using Structural Equation Modeling

Chapter 43. Structural Equation Modeling

Part 14. T Test

Chapter 44. One-Sample T Test

Chapter 45. Independent-Samples T Test

Chapter 46. Paired-Samples T Test

Part 15. Univariate Group Differences: Anova And Ancova

Chapter 47. One-Way Between-Subjects Anova

Chapter 48. Polynomial Trend Analysis

Chapter 49. One-Way Between-Subjects Ancova

Chapter 50. Two-Way Between-Subjects Anova

Chapter 51. One-Way Within-Subjects Anova

Chapter 52. Repeated Measures Using Linear Mixed Models

Chapter 53. Two-Way Mixed Anova

Part 16. Multivariate Group Differences: Manova And Discriminant Function Analysis

Chapter 54. One-Way Between-Subjects Manova

Chapter 55. Discriminant Function Analysis

Chapter 56. Two-Way Between-Subjects Manova

Part 17. Multidimensional Scaling

Chapter 57. Multidimensional Scaling: Classical Metric

Chapter 58. Multidimensional Scaling: Metric Weighted

Part 18. Cluster Analysis

Chapter 59. Hierarchical Cluster Analysis

Chapter 60. K-Means Cluster Analysis

Part 19. Nonparametric Procedures For Analyzing Frequency Data

Chapter 61. Single-Sample Binomial And Chi-Square Tests: Binary Categories

Chapter 62. Single-Sample (One-Way) Multinominal Chi-Square Tests

Chapter 63. Two-Way Chi-Square Test Of Independence

Chapter 64. Risk Analysis

Chapter 65. Chi-Square Layers

Chapter 66. Hierarchical Loglinear Analysis

## Book Details

- Title: Performing Data Analysis Using IBM SPSS
- Author: A. J. Guarino, Glenn C. Gamst, Lawrence S. Meyers
- Length: 736 pages
- Edition: 1
- Language: English
- Publisher: Wiley
- Publication Date: 2013-08-12
- ISBN-10: 1118357019
- ISBN-13: 9781118357019

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