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<p>Preface xiii</p> <p>Acknowledgments xvii</p> <p>Author Biography xix</p> <p><b>Part I Introduction </b><b>1</b></p> <p><b>1 What is SPSS? </b><b>3</b></p> <p>Chapter Learning Objectives 3</p> <p>What Is SPSS Used For 4</p> <p>The Power of SPSS 5</p> <p>SPSS Compared to Other Programs 5</p> <p>Summary 6</p> <p>Key Terms 6</p> <p>Discussion Questions 6</p> <p><b>2 Navigating SPSS </b><b>7</b></p> <p>Chapter Learning Objectives 7</p> <p>How the Program Works 7</p> <p>Important File Types 8</p> <p>Data Files 8</p> <p>Syntax Files 10</p> <p>Output Files 10</p> <p>The “Others” 11</p> <p>Managing Your SPSS Life 11</p> <p>The Importance of Maintaining the Raw Data as an “Untouched” File 12</p> <p>Summary 13</p> <p>Key Terms 13</p> <p>Discussion Questions 13</p> <p><b>3 Introduction to Data </b><b>15</b></p> <p>Chapter Learning Objectives 15</p> <p>Understanding Your Data 16</p> <p>Independent Versus Dependent Variables 16</p> <p>Scales of Measurement 16</p> <p>The SPSS Data Perspective 17</p> <p>Data Represented by Numbers (Numeric) 17</p> <p>Data Represented by Words (String) 18</p> <p>The Other Variable Types 18</p> <p>Your Data in SPSS – Think Matrices 19</p> <p>Summary 20</p> <p>Key Terms 21</p> <p>Discussion Questions 21</p> <p><b>4 Getting Your Data into SPSS </b><b>23</b></p> <p>Chapter Learning Objectives 23</p> <p>Before SPSS 24</p> <p>Specifying Operations Through SPSS 25</p> <p>Creating a Data Shell 25</p> <p>Creating Data Files Via Syntax 28</p> <p>Numeric Versus String Variables 29</p> <p>Data Entry Within the Syntax File 31</p> <p>“Saving” Populated Datafiles 33</p> <p>Having SPSS Auto-Generate Your Syntax 34</p> <p>Controlling Your “Open” Datafiles 35</p> <p>Summary 37</p> <p>Key Terms 38</p> <p>Discussion Questions 39</p> <p>References 39</p> <p><b>5 Accessing Your Data </b><b>41</b></p> <p>Chapter Learning Objectives 41</p> <p>Accessing Your Data Files 42</p> <p>Get File and Save Outfile 43</p> <p>Creating Subsets of Data 44</p> <p>Importing Data from Excel 44</p> <p>Using the Import Data Wizard 45</p> <p>The Copy–Paste “Option” (aka This Is a Terrible Idea) 47</p> <p>Summary 48</p> <p>Key Terms 48</p> <p>Discussion Questions 48</p> <p><b>6 Defining Your Data </b><b>49</b></p> <p>Chapter Learning Objectives 49</p> <p>Annotation 50</p> <p>Defining Your Dataset 51</p> <p>Adding Variable Labels 51</p> <p>Adding Value Labels 52</p> <p>Summary 54</p> <p>Key Terms 55</p> <p>Discussion Questions 55</p> <p><b>Part II Statistics </b><b>57</b></p> <p><b>7 Descriptive Statistics </b><b>59</b></p> <p>Chapter Learning Objectives 59</p> <p>Frequencies 60</p> <p>Displaying Data Graphically 62</p> <p>Location and Spread 63</p> <p>Descriptive Statistics 65</p> <p>Measures of Central Tendency and Variability 65</p> <p>A General Note on Analyses 67</p> <p>A General Note About Output Files 68</p> <p>Summary 68</p> <p>Key Terms 68</p> <p>Discussion Questions 69</p> <p><b>8 Hypothesis Testing </b><b>71</b></p> <p>Chapter Learning Objectives 71</p> <p>Descriptive Versus Inferential Statistics 72</p> <p>Hypothesis Testing (A <i>Process </i>for Interpreting Inferential Statistics) 72</p> <p>Six Steps of Hypothesis Testing 73</p> <p>Summary 75</p> <p>Key Terms 75</p> <p>Discussion Questions 76</p> <p><b>9 Z-and T-Tests </b><b>77</b></p> <p>Chapter Learning Objectives 77</p> <p>The One Sample Z-Test 78</p> <p>The t-Test 80</p> <p>One-Sample T-Test 80</p> <p>Two Independent Samples T-Test 84</p> <p>Two Correlated/Paired Samples T-Test 88</p> <p>Summary 93</p> <p>Key Terms 93</p> <p>Discussion Questions 94</p> <p><b>10 Inferential Analyses (ANOVAs) </b><b>97</b></p> <p>Chapter Learning Objectives 97</p> <p>One-Way ANOVA (One-Way Command) 98</p> <p>Repeated-Measures ANOVA (GLM Command) 101</p> <p>Factorial ANOVA (Unianova Command) 109</p> <p>Follow-Up Contrasts 113</p> <p>Summary 113</p> <p>Key Terms 114</p> <p>Discussion Questions 115</p> <p>Reference 116</p> <p><b>11 Inferential Analyses (Correlation or Regression) </b><b>117</b></p> <p>Chapter Learning Objectives 117</p> <p>Correlation 118</p> <p>Simple Regression 122</p> <p>Multiple Regression 125</p> <p>Straight Regression 126</p> <p>Hierarchical Regression 130</p> <p>Visualizing Your Relationship 135</p> <p>Summary 137</p> <p>Key Terms 137</p> <p>Discussion Questions 138</p> <p><b>12 Nonparametric Analyses </b><b>141</b></p> <p>Chapter Learning Objectives 141</p> <p>Parametric Versus Nonparametric Analyses 141</p> <p>“The” (Pearson’s) Chi-Square: χ2 143</p> <p>Two Variable Example 146</p> <p>Summary 150</p> <p>Key Terms 150</p> <p>Discussion Questions 151</p> <p><b>Part III Advanced Data Management </b><b>153</b></p> <p><b>13 Manipulating Your Data </b><b>155</b></p> <p>Chapter Learning Objectives 155</p> <p>Creating Scale Scores 156</p> <p>How SPSS Thinks About Data 156</p> <p>Recoding Your Data 157</p> <p>Creating Your Scales 157</p> <p>The Importance of Selecting All 161</p> <p>Summary 167</p> <p>Key Terms 167</p> <p>Discussion Questions 167</p> <p><b>14 Collapsing and Merging Data Files </b><b>169</b></p> <p>Chapter Learning Objectives 169</p> <p>Same People, Different Information 170</p> <p>Different People, Same Information 175</p> <p>Summary 177</p> <p>Key Terms 177</p> <p>Discussion Questions 178</p> <p><b>15 Differential Treatment of Your Data </b><b>179</b></p> <p>Chapter Learning Objectives 179</p> <p>Isolating Interesting Cases 180</p> <p>Creating a New Data File 180</p> <p>Splitting Files 184</p> <p>Summary 188</p> <p>Key Terms 188</p> <p>Discussion Questions 188</p> <p><b>16 Using Your Output </b><b>189</b></p> <p>Chapter Learning Objectives 189</p> <p>Problem Solving 190</p> <p>Spaces in All the Wrong Places 190</p> <p>Column Information 195</p> <p>There Is One Little Thing… 198</p> <p>Maximizing Output Information 199</p> <p>Summary 200</p> <p>Key Terms 201</p> <p>Discussion Questions 201</p> <p><b>17 Other Tricks of the Trade </b><b>203</b></p> <p>Chapter Learning Objectives 203</p> <p>Salvaging Old Syntax 204</p> <p>The Importance of Notepad 204</p> <p>Tricking SPSS To “Think” Across Rows 210</p> <p>Transposing Your Matrix 210</p> <p>Aggregating Your Files 211</p> <p>“Do If” and “End If” 215</p> <p>Summary 218</p> <p>Key Terms 219</p> <p>Discussion Questions 219</p> <p>Appendix A: Completed Questionnaire Form Example 221</p> <p>Appendix B: Example Code Sheet for Questionnaire 227</p> <p>Appendix C: Summary of Creating and Defining a Data File 233</p> <p>Appendix D: Example Syntax File Integrating Multiple Commands (Fulfilling Multiple Purposes) 239</p> <p>Appendix E: Commands To Know, Organized By Importance 249</p> <p>Answers to Chapter Discussion Questions 251</p> <p>Index 263</p>

<p><b>JOHN T. KULAS, PhD,</b> is a Professor of Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States. <p><b>RENATA GARCIA PRIETO PALACIOS ROJI, MA,</b> is a PhD candidate in Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States. <p><b>ADAM M. SMITH, PhD,</b> is an associate consultant at Kincentric and adjunct instructor at Wentworth Institute of Technology and Harvard University.

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