IBM SPSS Statistics 27 Step By Step: A Simple Guide And Reference

Description

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. Cover Half Title Title Page Copyright Page Dedication Table of Contents Preface Chapter 1: An Overview of IBM® SPSS® Statistics Introduction: An Overview of IBM SPSS Statistics 27 and Subscription Classic 1.1: Necessary Skills 1.2: Scope of Coverage 1.3: Overview 1.4: This Book’s Organization, Chapter by Chapter 1.5: An Introduction to the Example 1.6: Typographical and Formatting Conventions Chapter 2A: IBM SPSS Statistics Processes for PC 2.1: The Mouse 2.2: The Taskbar and Start Menu 2.3: Common Buttons 2.4: The Data and Other Commonly Used Windows 2.5: The Open Data File Dialog Window 2.6: The Output Window 2.7: Modifying or Rearranging Tables 2.8: Printing or Exporting Output 2.9: The “Options . . . ” Option: Changing the Formats Chapter 2B: IBM SPSS Statistics Processes for Mac 2.1: Selecting 2.2: The Desktop, Dock, and Application Folder 2.3: Common Buttons 2.4: The Data and Other Commonly Used Windows 2.5: The Open Data File Dialog Window 2.6: The Output Window 2.7: Modifying or Rearranging Tables 2.8: Printing or Exporting Output 2.9: The “Options . . .” Option: Changing the Formats Chapter 3: Creating and Editing a Data File 3.1: Research Concerns and Structure of the Data File 3.2: Step by Step 3.3: Entering Data 3.4: Editing Data 3.5: Grades.sav: The Sample Data File Exercises Chapter 4: Managing Data 4.1: Step By Step: Manipulation of Data 4.2: The Case Summaries Procedure 4.3: Replacing Missing Values Procedure 4.4: The Compute Procedure: Creating New Variables 4.5: Recoding Variables 4.6: The Select Cases Option 4.7: The Sort Cases Procedure 4.8: Merging Files Adding Blocks of Variables or Cases 4.9: Printing Results Exercises Chapter 5: Graphs and Charts: Creating and Editing 5.1: Comparison of the Two Graphs Options 5.2: Types of Graphs Described 5.3: The Sample Graph 5.4: Producing Graphs and Charts 5.5: Bugs 5.6: Specific Graphs Summarized 5.7: Printing Results Exercises Chapter 6: Frequencies 6.1: Frequencies 6.2: Bar Charts 6.3: Histograms 6.4: Percentiles 6.5: Step by Step 6.6: Printing Results 6.7: Output Exercises Chapter 7: Descriptive Statistics 7.1: Statistical Significance 7.2: The Normal Distribution 7.3: Measures of Central Tendency 7.4: Measures of Variability Around the Mean 7.5: Measures of Deviation from Normality 7.6: Measures of Size of the Distribution 7.7: Measures of Stability: Standard Error 7.8: Step by Step 7.9: Printing Results 7.10: Output Exercises Chapter 8: Crosstabulation and χ2 Analyses 8.1: Crosstabulation 8.2: Chi-Square (χ2) Tests of Independence 8.3: Step by Step 8.4: Weight Cases Procedure: Simplified Data Setup 8.5: Printing Results 8.6: Output Exercises Chapter 9: The Means Procedure 9.1: Step by Step 9.2: Printing Results 9.3: Output Exercises Chapter 10: A Priori Power Analysis: What Sample Size Do I Need? 10.1: One-Sample t Test 10.2: Independent-Samples t Test 10.3: Paired-Samples t Test 10.4: One-Way ANOVA 10.5: Correlation 10.6: Regression 10.7: Printing Results Exercises Chapter 11: Bivariate Correlation 11.1: What is a Correlation? 11.2: Additional Considerations 11.3: Step by Step 11.4: Printing Results 11.5: Output Exercises Chapter 12: The t Test Procedure 12.1: Independent-Samples t Tests 12.2: Paired-Samples t Tests 12.3: One-Sample t Tests 12.4: Significance and Effect Size 12.5: Step by Step 12.6: Printing Results 12.7: Output Exercises What is Bootstrapping? Chapter 13: The One-Way ANOVA Procedure 13.1: Introduction to One-Way Analysis of Variance 13.2: Step by Step 13.3: Printing Results 13.4: Output Exercises Chapter 14: General Linear Model: Two-Way ANOVA 14.1: Statistical Power 14.2: Two-Way Analysis of Variance 14.3: Step by Step 14.4: Printing Results 14.5: Output Exercises Chapter 15: General Linear Model: Three-Way ANOVA 15.1: Three-Way Analysis of Variance 15.2: The Influence of Covariates 15.3: Step by Step 15.4: Printing Results 15.5: Output 15.6: A Three-Way ANOVA that Includes a Covariate Exercises Chapter 16: Simple Linear Regression 16.1: Predicted Values and the Regression Equation 16.2: Simple Regression and the Amount of Variance Explained 16.3: Testing for a Curvilinear Relationship 16.4: Step by Step 16.5: Printing Results 16.6: Output 16.7: A Regression Analysis that Tests for a Curvilinear Trend Exercises Chapter 17: Multiple Regression Analysis 17.1: The Regression Equation 17.2: Regression and R2: The Amount of Variance Explained 17.3: Curvilinear Trends, Model Building, and References 17.4: Step by Step 17.5: Printing Results 17.6: Output 17.7: Change of Values as Each new Variable is Added Exercises Chapter 18: Nonparametric Procedures 18.1: Step by Step 18.2: Are Observed Values Distributed Differently than a Hypothesized Distribution? 18.3: Is the Order of Observed Values Non-Random? 18.4: Is a Continuous Variable Different in Different Groups? 18.5: Are the Medians of a Variable Different for Different Groups? 18.6: Are My Within-Subjects (Dependent Samples or Repeated Measures) Measurements Different? 18.7: Printing Results Chapter 19: Reliability Analysis 19.1: Coefficient Alpha (ɑ) 19.2: Split-Half Reliability 19.3: The Example 19.4: Step by Step 19.5: Printing Results 19.6: Output Exercises Chapter 20: Multidimensional Scaling 20.1: Square Asymmetrical Matrixes (The Sociogram Example) 20.2: Step by Step 20.3: Printing Results 20.4: Output Chapter 21: Factor Analysis 21.1: Create a Correlation Matrix 21.2: Factor Extraction 21.3: Factor Selection and Rotation 21.4: Interpretation 21.5: Step by Step 21.6: Output Chapter 22: Cluster Analysis 22.1: Cluster Analysis and Factor Analysis Contrasted 22.2: Procedures for Conducting Cluster Analysis 22.3: Step by Step 22.4: Printing Results 22.5: Output Chapter 23: Discriminant Analysis 23.1: The Example: Admission into a Graduate Program 23.2: The Steps Used in Discriminant Analysis 23.3: Step by Step 23.4: Output Chapter 24: General Linear Models: MANOVA and MANCOVA 24.1: Step by Step 24.2: Printing Results 24.3: Output Exercises Chapter 25: G.L.M.: Repeated-Measures MANOVA 25.1: Step by Step 25.2: Printing Results 25.3: Output Exercises Chapter 26: Logistic Regression 26.1: The Math of Logistic Regression 26.2: Step by Step 26.3: Printing Results 26.4: Output Chapter 27: Hierarchical Log-Linear Models 27.1: Log-Linear Models 27.2: The Model Selection Log-Linear Procedure 27.3: Step by Step 27.4: Printing Results 27.5: Output Chapter 28: Nonhierarchical Log-Linear Models 28.1: Models 28.2: A Few Words about Model Selection 28.3: Types of Models Beyond the Scope of This Chapter 28.4: Step by Step 28.5: Printing Results 28.6: Output Chapter 29: Residuals: Analyzing Left-Over Variance 29.1: Residuals 29.2: Linear Regression: A Case Study 29.3: General Log-Linear Models: A Case Study 29.4: Accessing Residuals in SPSS Data Files Glossary References Credits Index