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Introduction on the use of SPSS
for data analysis
BMDP -general statistics package
GAUSS – programming language for statistics
GenStat – general statistics package
SPSS – comprehensive statistics package
MATLAB – programming language with statistical features
SAS – comprehensive statistical package
Stata – comprehensive statistics package
Important software tools for statistical analysis
STATISTICA – comprehensive statistics package
StatXact – package for exact nonparametric and parametric statistics
Systat – general statistics package & more on graphycal
S-PLUS – general statistics package
R – A free implementation of the S language
WinBUGS – Bayesian analysis using Markov chain Monte Carlo method
Epi info- Epidemiological and Statistical
Open Epi - epidemiological
Important software tools for statistical analysis
Why SPSS software tool?
Easy to use and learn
It includes full range of data management systems
Good statistical capabilities
Good reporting system & presentation feature
SPSS
SPSS stands for Statistical Package for Social Sciences.
SPSS can take data from almost any type of data files.
(Excel, SAS, STATA, mdb, etc.)
Most of the tasks are performed by menu selection.
SPSS - Release history
SPSS 1 – 1968
SPSS 16.0.2 - April 2008
SPSS Statistics 17.0.2 - March 2009
PASW Statistics 17.0.3 - September 2009
PASW Statistics 18.0 - August 2009
IBM SPSS Statistics 19.0 - August 2010
IBM SPSS Statistics 22.0 - August 2013
Base module
Descriptive,
Inferential,
Modeling,
Dimension reduction,
Time series & Forecasting,
Survival,
ROC.
SPSS
SPSS uses the following types of files
while doing analysis
Data editor- .sav
Output viewer- .spv
Syntax editor - .sps
Click to view data
Click to view
Data file :
Click to view variable
13
Measures of numeric variable
– Nominal- values are categorized according to some
criterion (gender)
– Ordinal- Categories which are ranked according to
characteristic (low, moderate, high)
– Scale – quantitative ( continuous, counts)
Numeric:
Output viewer- .spv
A model Syntax file (test .sps)
Thanks

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1Introduction to SPSS, Types of data_VS.pptx

  • 1. Introduction on the use of SPSS for data analysis
  • 2. BMDP -general statistics package GAUSS – programming language for statistics GenStat – general statistics package SPSS – comprehensive statistics package MATLAB – programming language with statistical features SAS – comprehensive statistical package Stata – comprehensive statistics package Important software tools for statistical analysis
  • 3. STATISTICA – comprehensive statistics package StatXact – package for exact nonparametric and parametric statistics Systat – general statistics package & more on graphycal S-PLUS – general statistics package R – A free implementation of the S language WinBUGS – Bayesian analysis using Markov chain Monte Carlo method Epi info- Epidemiological and Statistical Open Epi - epidemiological Important software tools for statistical analysis
  • 4. Why SPSS software tool? Easy to use and learn It includes full range of data management systems Good statistical capabilities Good reporting system & presentation feature
  • 5. SPSS SPSS stands for Statistical Package for Social Sciences. SPSS can take data from almost any type of data files. (Excel, SAS, STATA, mdb, etc.) Most of the tasks are performed by menu selection.
  • 6. SPSS - Release history SPSS 1 – 1968 SPSS 16.0.2 - April 2008 SPSS Statistics 17.0.2 - March 2009 PASW Statistics 17.0.3 - September 2009 PASW Statistics 18.0 - August 2009 IBM SPSS Statistics 19.0 - August 2010 IBM SPSS Statistics 22.0 - August 2013
  • 8. SPSS SPSS uses the following types of files while doing analysis Data editor- .sav Output viewer- .spv Syntax editor - .sps
  • 9.
  • 11. Click to view Data file : Click to view variable
  • 12.
  • 13. 13 Measures of numeric variable – Nominal- values are categorized according to some criterion (gender) – Ordinal- Categories which are ranked according to characteristic (low, moderate, high) – Scale – quantitative ( continuous, counts) Numeric:
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19.
  • 21. A model Syntax file (test .sps)

Editor's Notes

  1. Interval and ratio are real numbers Issues arise when we try to apply parametric stats to ordinal- ie) likert scales