## SPSS for Windows Made SimpleThis new edition incorporates recent developments in SPSS (and in Windows) by drawing upon screen images, dialog boxes and output from SPSS 8 in the Windows 95 environment. A feature of SPSS 8 is the new, powerful Viewer output manager, which enables the user to produce better tables, charts and graphs by affording greater editorial control over both content and appearance than was possible in previous versions. The first six chapters (on data handling and exploration, graph plotting and two-sample statistical tests) and the associated exercises provide an introduction to the basics of working with SPSS, while the remaining chapters cover more advanced topics such as various ANOVA designs, correlation and regression, loglinear analysis, discriminant anlysis and factor analysis. In response to the comments of readers worldwide, the authors have expanded sections on the inputting and exploration of data, graphical procedures and advice on choosing appropriate statistical tests. The remaining chapters have also been revised. Where appropriate, chapters include images of dialog boxes, output listings and exercises for student courses. |

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### Contents

PREFACE viii | |

DATA HANDLING IN SPSS 32 | i |

CHOOSING A STATISTICAL TEST 133 | cii |

COMPARING THE AVERAGES OF TWO SAMPLES 752 | cxxi |

Exercises 911 765 | cxxxvii |

THE ONEFACTOR BETWEEN SUBJECTS EXPERIMENT 777 | 1 |

WINDOW OPERATIONS FOR SPSS | 11 |

189 | 13 |

Exercises 23 | 71 |

MEASURING STATISTICAL ASSOCIATION 266 | 72 |

REGRESSION 297 | 72 |

LISTING AND EXPLORING DATA | 78 |

LOGLINEAR ANALYSIS 527 | 86 |

337 | 6 |

Exercises 1819255 | 7 |

FACTOR ANALYSIS 357 | 26 |

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### Common terms and phrases

Alertness ANOVA summary table boxplots cell means Chapter chi-square Click on Continue Click on OK column contingency table correlation coefficient Crosstabs Data Editor window Define dependent variable described in Section descriptive statistics dialog box Figure Drug entered Entrance Exam experimental factorial ANOVA factorial experiment Fresh gender graph grouping variable height highlight independent samples interaction levels Linear Model loglinear analysis Mnemonic multiple comparisons multiple regression nominal data nonparametric tests null hypothesis obtain OK to run One-Way ANOVA Opening SPSS Options outliers Output Listing p-value Pearson correlation performance Placebo plot procedure Project Mark radio button ranks Recode Repeated Measures residuals scatterplot scores shape shown in Figure shown in Output significant Sphericity Assumed SPSS data set SPSS Viewer square standard deviation statistical test subjects ANOVA subjects experiment subjects factor treatment factors two-factor University Exam value labels Variable box variable names variance Within-Subjects