IBM SPSS by Example
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IBM SPSS by Example: A Practical Guide to Statistical Data Analysis

IBM SPSS by Example: A Practical Guide to Statistical Data Analysis

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About the Book

The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s "cut to the chase" IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration.

Table of Contents:
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


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Product Details
  • ISBN-13: 9781483319063
  • Publisher: Sage Publications Inc Ebooks
  • Binding: Digital download and online
  • No of Pages: 368
  • ISBN-10: 1483319067
  • Publisher Date: 31 Dec 2014
  • Language: English
  • Sub Title: A Practical Guide to Statistical Data Analysis


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