SPSS-Intro_slides
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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:
– http://nyu.libguides.com/dataservices
– Google “nyu data services”
Training tab
– Slides and sample code
– External resources
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
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:
o allows reusing commands (the same analysis can be quickly repeated on
different data sets as long as the variables name match)
o allows to copy, past and edit commands
o easier to read complex expressions
o allows sharing commands / methods with other researchers
Output (.spv)
o Allows saving both the outcomes of our analysis but
can also help retrieve information for further use in a
syntax window.
o 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.
Recoding Variables:
Can be necessary in several cases:
- reverse coded items
- continuous variables into grouping variables
- grouping variables in OLS
Computing Variables
For variable’s description:
Analyze -> Descriptive Statistics -> Descriptives
For frequencies:
Analyze -> Descriptive Statistics -> Frequencies
To detect outliers:
Analyze -> Descriptive Statistics -> Explore
Scatter Plot:
Graphs -> Legacy Dialogs-> Scatter/dot
Histograms:
Graphs -> Legacy Dialogs-> Histograms
OR
Analyze -> Legacy Dialog
Some examples:
Correlation Analyze -> Correlate -> Bivariate
T-tests Analyze -> Compare Means ->
Regression Analyze -> Regression-> Linear
ANOVA Analyze -> General Linear Models
Additional Help
The Data Services staff is available to answer
SPSS related questions.
– Email: [email protected]
– Phone: (212)-998-3434
– Location: 5th Floor of Bobst Library
Please refer to the Data Services training
page
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