SPSS Statistics For Dummies

Höfundar: Jesus Salcedo; Keith McCormick (Útgáfa: 4)
SPSS Statistics For Dummies

Kaup valmöguleikar

Our primary target audience are the users of SPSS 26 software. Not only is SPSS used by professionals across a wide range of industries and practices, but it is also used in universities throughout the US and in a number of academic fields (e.g., psychology, sociology, political science, etc),

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Útgefandi
Wiley Professional Development (P&T)
ISBN
9781119560821
Print ISBN
9781119560838
Format
ePub
Útgáfa
4
Höfundar
Jesus Salcedo; Keith McCormick
Tungumál
English
Útgefið
2020-08-11
Prent takmörkun á líftíma
100
Prent takmörkun
10
Afritunar takmörkun
2
Flokkar
Hagfræði

Kaflar

  • Cover
  • 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