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Produktdetails
- Produktdetails
- Verlag: Sage Publications
- 2nd edition
- Seitenzahl: 368
- Erscheinungstermin: 14. Januar 2015
- Englisch
- Abmessung: 231mm x 187mm x 15mm
- Gewicht: 543g
- ISBN-13: 9781483319032
- ISBN-10: 1483319032
- Artikelnr.: 41250599
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
- Verlag: Sage Publications
- 2nd edition
- Seitenzahl: 368
- Erscheinungstermin: 14. Januar 2015
- Englisch
- Abmessung: 231mm x 187mm x 15mm
- Gewicht: 543g
- ISBN-13: 9781483319032
- ISBN-10: 1483319032
- Artikelnr.: 41250599
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- 06621 890
Alan Elliott is the Director of the Statistical Consulting Center at Southern Methodist University within the Department of Statistical Science. Previously he served as a statistical consultant in the Department of Clinical Science at the University of Texas Southwestern Medical Center at Dallas for 30 years. Elliott holds master's degrees in Business Administration (MBA) and Applied Statistics (MAS). He has authored or coauthored over 35 scientific articles and over a dozen books including the Directory of Microcomputer Statistical Software, Microcomputing with Applications, Using Norton Utilities, SAS Essentials, Applied Time Series Analysis, and Statistical Analysis Quick reference Guidebook with SPSS Examples. Elliott has taught university-level courses in statistics, statistical consulting, and statistical computing for over twenty-five years.
Chapter 1: Introduction
Getting the Most Out of IBM SPSS by Example
A Brief Overview of the Statistical Process
Understanding Hypothesis Testing, Power, and Sample Size
Understanding the p-Value
Planning a Successful Analysis
Guidelines for Creating Data Sets
Preparing Excel Data for Import
Guidelines for Reporting Results
Opening Data Files for Examples
Chapter 2: Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Chapter 3: Creating and Using Graphs
Introduction to SPSS Graphs
Chart Builder
Graphboard Template Chooser
Legacy Plots
Scatterplots
Histograms
Bar Charts
Pie Charts
Box Plots
Chapter 4: Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Chapter 5: Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Chapter 6: Analysis of Categorical Data
Contingency Table Analysis
McNemar's Test
Mantel-Haenszel Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Chapter 7: Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Chapter 8: Non-parametric Analysis Procedures
Spearman's Rho
Mann-Whitney-Wilcoxon (Two Independent Groups Test)
Kruskal-Wallis Test
Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
Friedman's Test
Chapter 9: Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Chapter 10: Factor Analysis
Factor Analysis Examples
Getting the Most Out of IBM SPSS by Example
A Brief Overview of the Statistical Process
Understanding Hypothesis Testing, Power, and Sample Size
Understanding the p-Value
Planning a Successful Analysis
Guidelines for Creating Data Sets
Preparing Excel Data for Import
Guidelines for Reporting Results
Opening Data Files for Examples
Chapter 2: Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Chapter 3: Creating and Using Graphs
Introduction to SPSS Graphs
Chart Builder
Graphboard Template Chooser
Legacy Plots
Scatterplots
Histograms
Bar Charts
Pie Charts
Box Plots
Chapter 4: Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Chapter 5: Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Chapter 6: Analysis of Categorical Data
Contingency Table Analysis
McNemar's Test
Mantel-Haenszel Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Chapter 7: Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Chapter 8: Non-parametric Analysis Procedures
Spearman's Rho
Mann-Whitney-Wilcoxon (Two Independent Groups Test)
Kruskal-Wallis Test
Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
Friedman's Test
Chapter 9: Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Chapter 10: Factor Analysis
Factor Analysis Examples
Chapter 1: Introduction
Getting the Most Out of IBM SPSS by Example
A Brief Overview of the Statistical Process
Understanding Hypothesis Testing, Power, and Sample Size
Understanding the p-Value
Planning a Successful Analysis
Guidelines for Creating Data Sets
Preparing Excel Data for Import
Guidelines for Reporting Results
Opening Data Files for Examples
Chapter 2: Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Chapter 3: Creating and Using Graphs
Introduction to SPSS Graphs
Chart Builder
Graphboard Template Chooser
Legacy Plots
Scatterplots
Histograms
Bar Charts
Pie Charts
Box Plots
Chapter 4: Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Chapter 5: Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Chapter 6: Analysis of Categorical Data
Contingency Table Analysis
McNemar's Test
Mantel-Haenszel Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Chapter 7: Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Chapter 8: Non-parametric Analysis Procedures
Spearman's Rho
Mann-Whitney-Wilcoxon (Two Independent Groups Test)
Kruskal-Wallis Test
Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
Friedman's Test
Chapter 9: Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Chapter 10: Factor Analysis
Factor Analysis Examples
Getting the Most Out of IBM SPSS by Example
A Brief Overview of the Statistical Process
Understanding Hypothesis Testing, Power, and Sample Size
Understanding the p-Value
Planning a Successful Analysis
Guidelines for Creating Data Sets
Preparing Excel Data for Import
Guidelines for Reporting Results
Opening Data Files for Examples
Chapter 2: Describing and Examining Data
Example Data Files
Describing Quantitative Data
Describing Categorical Data
Chapter 3: Creating and Using Graphs
Introduction to SPSS Graphs
Chart Builder
Graphboard Template Chooser
Legacy Plots
Scatterplots
Histograms
Bar Charts
Pie Charts
Box Plots
Chapter 4: Comparing One or Two Means Using the t-Test
One-Sample t-Test
Two-Sample t-Test
Paired t-Test
Chapter 5: Correlation and Regression
Correlation Analysis
Simple Linear Regression
Multiple Linear Regression
Chapter 6: Analysis of Categorical Data
Contingency Table Analysis
McNemar's Test
Mantel-Haenszel Comparison
Tests of Interrater Reliability
Goodness-of-Fit Test
Other Measures of Association for Categorical Data
Chapter 7: Analysis of Variance and Covariance
One-Way ANOVA
Two-Way Analysis of Variance
Repeated-Measures Analysis of Variance
Analysis of Covariance
Chapter 8: Non-parametric Analysis Procedures
Spearman's Rho
Mann-Whitney-Wilcoxon (Two Independent Groups Test)
Kruskal-Wallis Test
Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs
Friedman's Test
Chapter 9: Logistic Regression
Simple Logistic Regression
Multiple Logistic Regression
Chapter 10: Factor Analysis
Factor Analysis Examples