IBM SPSS essentials : managing and analyzing social sciences data /: managing and analyzing social sciences data. (2021)

• Record Type: Book
• Further Information: Note: John T. Kulas.
• Authors: Kulas, John T; Prieto Palacios Roji, Renata Garcia; Smith, Adam M
• Contents: SECTION I - INTRODUCTION Chapter 1: What is SPSS 1) Introduction 2) What is SPSS used for 3) The power of SPSS 4) SPSS compared to other programs Chapter 2: Navigating SPSS 1) How the program works a) Data files b) Syntax files c) Output files 2) Managing your SPSS life through folders a) Importance of maintaining raw data Chapter 3: Introduction to Data 1) Understanding your data a) Independent Versus Dependent Variables b) Scales of Measurement 2) The SPSS Data Perspective a. Data represented by numbers b. Data represented by words c. The other variable types 3) Your Data in SPSS (Matrices) Chapter 4 Getting Your Data into SPSS 1) Before SPSS 2) Specifying Operations through SPSS 3) Creating a Data Shell a) Creating Data Files Via Syntax 4) Numeric Versus String Variables 5) Data Entry Within the Syntax File 6) “Saving” Populated Data Files a) Controlling your open data files Chapter 5: Accessing Your Data 1) Accessing Your Data Files a) Get File and Save Outfile b) Creating Subsets of Data 2) Importing Data from Excel a) Using the Import Wizard b) Copy-Paste Option Chapter 6: Defining Your Data 1) Annotation 2) Defining Your Dataset a) Adding Variable Labels b) Adding Value Labels SECTION II - STATISTICS Chapter 7: Descriptive Statistics 1) Frequencies 2) Displaying Data Graphically a) Location and Spread 3) Descriptive Statistics a) Measures of Central Tendency and Variability 4) General Note on Analyses 5) General Note on Output Files Chapter 8: Hypothesis Testing 1) Descriptive vs. Inferential Statistics 2) Hypothesis Testing (A Process for Interpreting Inferential Statistics) a) Six Steps of Hypothesis Testing Chapter 9: Inferential Analyses (z – and t-tests) 1) One Sample z-test 2) The t-test a) One Sample t – test b) Two Independent Samples t – test c) Two Correlated/Paired Samples t – test Chapter 10: Inferential Analyses (ANOVAS) 1) One-Way ANOVA 2) Repeated Measures ANOVA 3) Factorial ANOVA 4) Follow-up Contrasts Chapter 11: Inferential Analyses (Correlation and Regression) 1) Correlation 2) Simple Regression 3) Multiple Regression a) Straight Regression b) Hierarchical Regression 4) Visualizing your Relationship Chapter 12: Inferential Analyses (Nonparametrics) 1) Parametric vs. Nonparametric analyses 2) Chi-square a) Two variable chi-square examples SECTION III – ADVANCED DATA MANAGEMENT Chapter 13: Manipulating Your Data 1) SPSS’s Intended purposes a) Data analyst b) Data organizer 2) Creating Scale Scores a) Recoding your data b) Creating your scales 3) The Importance of Selecting All Chapter 14: Collapsing and Merging Data Files 1) Same people, different information 2) Different people, same information Chapter 15: Differential treatment of your data 1) Isolating interesting cases a) Creating a new data file b) Splitting files 2) Summary Chapter 16: Using your Output 1) Problem solving a) Spaces in all the wrong places b) Column information c) There is one little thing... 2) Maximizing output information Chapter 17: Other tricks of the trade 1) Salvaging Old Syntax a) The Importance of Notepad 2) Tricking SPSS to “Think” Across Rows a) Transposing Your Matrix b) Aggregating Your Files 3) “Do If” and “End If” Appendixes Appendix A: Completed Questionnaire Form example Appendix B: Example Code Sheet for Questionnaire Appendix C: Summary of Creating and Defining a Data File Appendix D: Example Syntax File Integrating Multiple Commands Answers to Chapter Discussion Questions Index
• Edition: Second edition
• Publisher Details: Hoboken : John Wiley & Sons, Inc
• Publication Date: 2021
• Extent: 1 online resource
• Subjects: 300.285555; Social sciences -- Computer programs
• Languages: English
• ISBNs: 9781119417446; 9781119417439
• Related ISBNs: 9781119417422
• Notes: Note: Description based on CIP data; resource not viewed.
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