[Dummies 01] • SPSS Statistics For Dummies · 4th Edition, 4th Edition by Salcedo, Jesus -- Read -- Imperial Library of Trantor

Index

Cover Table of Contents Introduction

About This Book About the Fourth Edition Foolish Assumptions Icons Used in This Book Beyond the Book Where to Go from Here

Part 1: Getting Started with SPSS

Chapter 1: Introducing SPSS

SPSS’s Job, Our Job, and Your Job Garbage In, Garbage Out: Recognizing the Importance of Good Data Talking to SPSS: Can You Hear Me Now? Getting Help When You Need It

Chapter 2: Finding the Best SPSS for You

Campus Editions Subscription Plans Commercial Editions What’s New in Version 27

Chapter 3: Getting to Know SPSS by Running a Simple Session

Opening a Dataset Running an Analysis Interpreting Results Creating Graphs Investigating Data

Part 2: Getting Data into and out of SPSS

Chapter 4: Understanding SPSS Data: Defining Metadata

Entering Variable Definitions on the Variable View Tab Entering and Viewing Data Items on the Data View Tab

Chapter 5: Opening Data Files

Getting Acquainted with the SPSS File Format Reading Simple Data from a Text File Transferring Data from Another Program Saving Data

Chapter 6: Getting Data and Results from SPSS

Exporting Data to Another Program Navigating SPSS Statistics Viewer Moving SPSS Output to Other Applications Printing Data

Chapter 7: More about Defining Your Data

Working with Dates and Times Using the Date and Time Wizard Creating and Using a Multiple-Response Set Copying Data Properties

Part 3: Messing with Data in SPSS

Chapter 8: The Transform and Data Menus

Sorting Cases Selecting the Data You Want to Look At Splitting Data for Easier Analysis Counting Case Occurrences Recoding Variables Binning Optimal Binning

Chapter 9: Computing New Variables

Calculating a New Variable with a Formula Calculating a New Variable with a Condition Using System Variables Contrasting $Sysmis with SYSMIS Understanding Missing Data in Formulas Efficiently Calculating with Multiple Formulas

Chapter 10: Some Useful Functions

The LENGTH Function The ANY Function The MEAN Function and Missing Data RND, TRUNC, and MOD Logicals, the MISSING Function, and the NOT Function String Parsing and Nesting Functions Calculating Lags

Chapter 11: Combining Files

Merging Files by Adding Cases Merging Files by Adding Variables

Part 4: Graphing Data

Chapter 12: On the Menu: Graphing Choices in SPSS

Building Graphs the Chart Builder Way Building Graphs with Graphboard Template Chooser

Chapter 13: Building Graphs Using Chart Builder

Simple Graphs Fancy Graphs Fancy Maps Using Graphboard Template Chooser

Part 5: Analyzing Data

Chapter 14: Using Descriptive Statistics

Looking at Levels of Measurement Focusing on Frequencies for Categorical Variables Understanding Frequencies for Continuous Variables Summarizing Continuous Variables with the Descriptives Procedure

Chapter 15: Knowing When Not to Trust Your Data

Sampling Understanding Sample Size Testing Hypotheses Calculating Confidence Intervals Conducting In-Depth Hypothesis Testing Using the Normal Distribution Working with Z-Scores

Chapter 16: Testing One Group

Conducting Inferential Tests Running the Chi-Square Goodness of Fit Test Running the One-Sample T-Test Procedure

Chapter 17: Showing Relationships between Categorical Variables

Running the Crosstabs Procedure Running the Chi-Square Test of Independence Comparing Column Proportions Adding Control Variables Creating a Clustered Bar Chart

Chapter 18: Showing Relationships between Continuous Dependent and Categorical Independent Variables

Conducting Inferential Tests Using the Compare Means Dialog Running the Independent-Samples T-Test Procedure Comparing the Means Graphically Running the Summary Independent-Samples T-Test Procedure Running the Paired-Samples T-Test Procedure

Chapter 19: Showing Relationships between Continuous Variables

Viewing Relationships Running the Bivariate Procedure Running the Simple Linear Regression Procedure

Part 6: Getting More Advanced with Analyzing Data

Chapter 20: Doing More Advanced Analyses

Running the One-Way ANOVA Procedure Conducting Post Hoc Tests Comparing Means Graphically Running the Multiple Linear Regression Procedure Viewing Relationships

Chapter 21: What Is Normal Anyway?

Understanding Nonparametric Tests Understanding Distributions Running a Nonparametric Independent Samples Test Running a Nonparametric Related Samples Test

Chapter 22: When to Do What

Determining Which Statistical Test to Perform Using Advanced Techniques

Part 7: Making SPSS Your Own

Chapter 23: Changing Settings

General Options Language Options Viewer Options Data Options Currency Options Output Options Chart Options Pivot Tables Options File Locations Options Scripts Options Multiple Imputations Options Syntax Editor Options Privacy Options

Chapter 24: Editing Charts and Chart Templates

Changing and Editing Axes Changing Style: Lines and Symbols Applying Templates

Chapter 25: Editing Tables

Working with TableLooks Style Output Pivoting Trays

Part 8: Programming SPSS with Command Syntax

Chapter 26: Getting Acquainted with Syntax

Pasting Performing a Series of Related Compute Statements Labeling Repeatedly Generating the Same Report

Chapter 27: Adding Syntax to Your Toolkit

Your Wish Is My Command Understanding Keywords Declaring Data Commenting Your Way to Clarity Running Your Code Controlling Flow and Executing Conditionals

Part 9: The Part of Tens

Chapter 28: Ten (or So) Modules You Can Add to SPSS

The Advanced Statistics Module The Custom Tables Module The Regression Module The Categories Module The Data Preparation Module The Decision Trees Module The Forecasting Module The Missing Values Module The Bootstrapping Module The Complex Samples Module The Conjoint Module The Direct Marketing Module The Exact Tests Module The Neural Networks Module

Chapter 29: Ten Useful SPSS Resources

Supporting Websites for This Book LinkedIn and LinkedIn Groups IBM SPSS Statistics Certification IBM Data Science Community SPSSX-L Online Videos Twitter Live Instruction Asynchronous Instruction and Tutorials SPSS Statistics for Data Analysis and Visualization

Chapter 30: Ten SPSS Statistics Gotchas

Failing to Declare Level of Measurement Conflating String Values with Labels Failing to Declare Missing Data Failing to Find Add-On Modules and Plug-Ins Failing to Meet Statistical and Software Assumptions Confusing Pasting Syntax with Copy and Paste Thinking You Create Variables in SPSS as You Do in Excel Getting Confused by Listwise Deletion Losing Track of Your Active Dataset Forgetting to Turn Off Select and Split and Weight

Index About the Authors Connect with Dummies End User License Agreement

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