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<p>Introduction 1</p> <p><b>Part 1: Getting Data into and out of SPSS 5</b></p> <p>Chapter 1: Working Through Import and Export Challenges 7</p> <p>Chapter 2: Defining Data 19</p> <p><b>Part 2: Messing with Data in SPSS 35</b></p> <p>Chapter 3: Using the Data Menu 37</p> <p>Chapter 4: Putting the Transform Menu to Work 59</p> <p>Chapter 5: Computing Variables 87</p> <p><b>Part 3: Analyzing Data 119</b></p> <p>Chapter 6: Using Descriptive Statistics 121</p> <p>Chapter 7: Testing Relationships with the Chi-Square Test of Independence 141</p> <p>Chapter 8: Comparing Two Groups with T-Tests 161</p> <p>Chapter 9: Comparing More Than Two Groups with ANOVA 177</p> <p>Chapter 10: Testing Relationships with Correlation 199</p> <p>Chapter 11: Making Predictions Using Linear Regression 213</p> <p><b>Part 4: Producing and Editing Output 223</b></p> <p>Chapter 12: Building Graphs with Bars, Lines, and Wedges 225</p> <p>Chapter 13: Building Slightly More Complex Graphs 245</p> <p>Chapter 14: Editing Output 275</p> <p><b>Part 5: Programming SPSS with Command Syntax 287</b></p> <p>Chapter 15: Working with Pasted SPSS Syntax 289</p> <p>Chapter 16: Computing Variables with Syntax 297</p> <p><b>Part 6: The Part of Tens 305</b></p> <p>Chapter 17: Ten Tricky SPSS Skills to Practice 307</p> <p>Chapter 18: Ten Practice Certification Questions 313</p> <p>Index 319</p>

<p><b>Jesus Salcedo, PhD,</b> studied psychometrics at Fordham and has been using SPSS for over 25 years. Currently at Wiley, he served as the SPSS curriculum lead at IBM and has trained thousands of users.</p> <p><b>Keith McCormick</b> has traveled the world speaking at conferences teaching machine learning, data science, and SPSS. He currently serves as executive data scientist in residence at Pandata. Hundreds of thousands have watched his LinkedIn Learning courses.</p>

<p><b>Practice your way to number-crunching perfection</b> <p>To unleash the power of SPSS^® Statistics, you need to practice. <i>SPSS Statistics Workbook For Dummies</i> is full of clear explanations and practice problems to help you master the software’s many capabilities. Each example provides step-by-step solutions for analysis and interpretation, with topics that are most important for your day-do-day work, university coursework, and even preparation for IBM certification. With this clear Dummies resource, you can go from complete beginner to super-user, the easy way. <p><b>Inside… <ul><li>Navigating the interface</li> <li>Getting data into and out of SPSS</li> <li>Cleaning up your dataset</li> <li>Calculating descriptive statistics</li> <li>Performing t-tests and ANOVAs</li> <li>Correlation and regression</li> <li>Creating and editing charts</li> <li>Common mistakes to avoid</b></li></ul>

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