Poroto40
10-16-2007, 02:04 AM
SPSS 15
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SPSS (originally, Statistical Package for the Social Sciences) was released in its first version in 1968, and is among the most widely used programs for statistical analysis in social science. It is used by market researchers, health researchers, survey companies, government, education researchers, and others. In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a metadata dictionary is stored with the data) are features of the base software.
Descriptive statistics: Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics
Bivariate statistics: Means, t-test, ANOVA, Correlation (bivariate, partial, distances), Nonparametric tests
Prediction for numerical outcomes: Linear regression
Prediction for identifying groups: Factor analysis, cluster analysis (two-step, K-means, hierarchical), Discriminant
Add-on modules provide additional capabilities. The available modules are:
SPSS Programmability Extension (added in version 14). Allows Python programming control of SPSS.
SPSS Data Validation (added in version 14). Allows programming of logical checks and reporting of suspicious values.
SPSS Regression Models - Logistic regression, ordinal regression, multinomial logistic regression, and mixed models (multilevel models).
SPSS Advanced Models - Multivariate GLM and repeated measures ANOVA (removed from base system in version 14).
SPSS Classification Trees. Creates classification and decision trees for identifying groups and predicting behaviour.
SPSS Tables. Allows user-defined control of output for reports.
SPSS Exact Tests. Allows statistical testing on small samples.
SPSS Categories
SPSS Trends™
SPSS Conjoint
SPSS Missing Value Analysis. Simple regression-based imputation.
SPSS Map
SPSS Complex Samples (added in Version 12). Adjusts for stratification and clustering and other sample selection biases.
http://i150.photobucket.com/albums/s106/poroto40/down.gif
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http://i10.tinypic.com/2zs322x.jpg
SPSS (originally, Statistical Package for the Social Sciences) was released in its first version in 1968, and is among the most widely used programs for statistical analysis in social science. It is used by market researchers, health researchers, survey companies, government, education researchers, and others. In addition to statistical analysis, data management (case selection, file reshaping, creating derived data) and data documentation (a metadata dictionary is stored with the data) are features of the base software.
Descriptive statistics: Cross tabulation, Frequencies, Descriptives, Explore, Descriptive Ratio Statistics
Bivariate statistics: Means, t-test, ANOVA, Correlation (bivariate, partial, distances), Nonparametric tests
Prediction for numerical outcomes: Linear regression
Prediction for identifying groups: Factor analysis, cluster analysis (two-step, K-means, hierarchical), Discriminant
Add-on modules provide additional capabilities. The available modules are:
SPSS Programmability Extension (added in version 14). Allows Python programming control of SPSS.
SPSS Data Validation (added in version 14). Allows programming of logical checks and reporting of suspicious values.
SPSS Regression Models - Logistic regression, ordinal regression, multinomial logistic regression, and mixed models (multilevel models).
SPSS Advanced Models - Multivariate GLM and repeated measures ANOVA (removed from base system in version 14).
SPSS Classification Trees. Creates classification and decision trees for identifying groups and predicting behaviour.
SPSS Tables. Allows user-defined control of output for reports.
SPSS Exact Tests. Allows statistical testing on small samples.
SPSS Categories
SPSS Trends™
SPSS Conjoint
SPSS Missing Value Analysis. Simple regression-based imputation.
SPSS Map
SPSS Complex Samples (added in Version 12). Adjusts for stratification and clustering and other sample selection biases.
http://i150.photobucket.com/albums/s106/poroto40/down.gif
This post contains hidden content