Using SPSS® for Research Methods and Social Statistics 8th Edition By William E Wagner-Huang
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Using SPSS® for Research Methods and Social Statistics 8th Edition By William E Wagner-Huang

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Pages
222
File size
29.53 MB
Format
Digital PDF
Category
eBook[PDF]
About this ebook
The 8th Edition of Using SPSS® for Research Methods and Social Statistics by William E. Wagner-Huang updates the software application to SPSS Version 29 and utilizes a secondary dataset from the 2022 General Social Survey (GSS). [1]
The book is structured into 10 fundamental chapters designed to walk students step-by-step through data management and introductory statistical operations: [1]
1. Introduction & Software Overview (Chapter 1)
  • Opening and importing data files
  • Understanding and utilizing data files, output files, and syntax files
  • Navigating the user interface and adjusting customizable global options in SPSS [1, 2]
2. Data Management & Manipulation (Chapter 2)
  • Transforming variables
  • Recoding variables into new or existing categories
  • Utilizing the Compute and Count variable functions
  • Handling multiple response values [1, 2]
3. Descriptive Statistics (Chapters 3 & 4)
  • Calculating measures of central tendency (mean, median, mode)
  • Calculating measures of dispersion (variance, standard deviation, range)
  • Constructing frequency distributions
  • Visualizing data using graphs (building five specific styles of charts and graphs) [1]
4. Bivariate Analysis & Measures of Association (Chapter 5)
  • Evaluating relationships between variables
  • Cross-tabulation techniques
  • Associating measures for nominal and ordinal variables (including lambda, gamma, and Somers' d) [1, 2, 3]
5. Hypothesis Testing & Inferential Statistics (Chapters 6, 8, & 9)
  • Expanded sections on Analysis of Variance (ANOVA)
  • Expanded sections on Chi-square tests of independence
  • Running independent and paired-sample t-tests
  • Bivariate and multiple regression analysis
  • Correlation modeling (Pearson's r and Spearman's rho) [1, 2, 3]
6. Sampling & Output Processing (Chapters 7 & 10)
  • Selection and sampling of specific cases within large datasets
  • Formatting, customizing, and editing output tables and graphs
  • Exporting statistical figures directly into word processing platforms like Microsoft Word [1, 2]

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Topics

9781071884379 9781071884386 9781071884393 9781071884409 Analysis of Variance (ANOVA) Bivariate Analysis & Measures of Association Bivariate and multiple regression analysis Chi-square tests of independence Correlation modeling (Pearson's r and Spearman's rho) Cross-tabulation techniques data files output files and syntax files Data Management & Manipulation descriptive statistics Exporting statistics into word processing Microsoft Word Hypothesis Testing & Inferential Statistics independent and paired-sample t-tests Introduction & Software Overview measures for nominal and ordinal variables ( lambda gamma and Somers' d) measures of central tendency (mean median mode) measures of dispersion (variance standard deviation range) Opening and importing data files Sampling & Output Processing sampling of specific cases within large datasets Transforming variables new or existing categories user interface and adjusting customizable global options in SPSS using graphs (building five specific styles of charts and graphs) Utilizing the Compute and Count variable functions
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