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020 0 0 _a9781483319032
040 _cIIMV
082 0 _a005.55 ELL
100 1 _a Alan C. Elliott
_eAuthor
_91395
245 0 _aIBM SPSS by Example: A Practical Guide to Statistical Data Analysis
_cby Alan C. Elliott
250 _aSecond Edition
260 _bSAGE
_aNew Delhi
_c2016
300 _axxiii, 342 pages;
_bIllustrations:
_c22 cm.
505 _aChapter 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
520 3 _aThe 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.
700 _aWayne A. Woodward
_91396
942 _2ddc
_cBK