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Introduction to SPSS

Introduction to SPSS. Outline. Overview of SPSS Interface Getting Started Managing Data Descriptive Statistics Basic Analysis Additional Resources. NYU Data Services. Tutorials and support for academic software One-on-one consultation by appointment Data Services website:

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Introduction to SPSS

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  1. Introduction to SPSS

  2. Outline • Overview of SPSS • Interface • Getting Started • Managing Data • Descriptive Statistics • Basic Analysis • Additional Resources

  3. NYU Data Services • Tutorials and support for academic software • One-on-one consultation by appointment • Data Services website: • http://nyu.libguides.com/dataservices • Google “nyu data services” • Training tab • Slides and sample code • External resources

  4. Overview of SPSS • SPSS is a statistical package that allows advanced data analysis, management, and graphics. • SPSS has capabilities similar to Stata, SAS, Minitab • There are SPSS student licenses available at NYU computer store for Windows and Mac. • You can also access it through VCL (vcl.nyu.edu) or using NYU computers

  5. Getting Started: SPSS Files • Data file (.sav) • Syntax File (.sps) • Commands should be written and saved in syntax rather then using SPSS drop down menu: • Some advantages to using syntax files: • allows reusing commands (the same analysis can be quickly repeated on different data sets as long as the variables name match) • allows to copy, past and edit commands • easier to read complex expressions • allows sharing commands / methods with other researchers

  6. Getting Started: SPSS Files • Output (.spv) • Allowssaving both the outcomes of our analysis but can also help retrieve information for further use in a syntax window. • A bit messy – if we are running the same analysis but for example excluding some cases/ outliers it might be a little difficult to keep track of what is what.

  7. Managing Data • Recoding Variables: Can be necessary in several cases: • reverse coded items • continuous variables into grouping variables • grouping variables in OLS • Computing Variables

  8. Descriptive Statistics • For variable’s description: Analyze -> Descriptive Statistics -> Descriptives • For frequencies: Analyze -> Descriptive Statistics -> Frequencies • To detect outliers: Analyze -> Descriptive Statistics -> Explore

  9. Graphs • Scatter Plot: Graphs -> Legacy Dialogs-> Scatter/dot • Histograms: Graphs -> Legacy Dialogs-> Histograms • OR Analyze -> Legacy Dialog

  10. Basic Analysis • Some examples: Correlation    Analyze -> Correlate -> BivariateT-tests Analyze -> Compare Means -> Regression Analyze -> Regression-> Linear ANOVA Analyze -> General Linear Models

  11. Additional Help • The Data Services staff is available to answer SPSS related questions. • Email: data.services@nyu.edu • Phone: (212)-998-3434 • Location: 5th Floor of Bobst Library • Please refer to the Data Services training page

  12. Tutorial Evaluation • Please follow the link below: • This will only take a few minutes and help us a great lot in improving the tutorial bit.ly/IntroSPSS

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