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SPSS Categories - SPSS 16.0
Understand groupings using perceptual maps to predict categorical outcomes
Analyze your data more completely using SPSS Categories. This add-on module for SPSS
gives you what's needed to enhance your research and learn more about your categorical data. Whatever types of categories you study - market segments, subcultures, political parties or biological species - optimal scaling procedures free you from the restrictions of two-way tables, placing the relationships among your variables in a larger frame of reference. You can see a map of your data - not just a statistical report.
SPSS Categories' high-resolution summary charts give you unique insight into relationships between more than two variables.
The data are a 2x5x6 table containing information on two genders, five age groups and six
products. This plot shows the results of a two-dimensional multiple correspondence analysis of the table. Notice that products such as "A" and "B" are chosen at younger ages and by males,
while products such as "G" and "C" are preferred at older ages.
SPSS Categories has the procedures you need get the most from your multivariate data analysis. These procedures include:
- Categorical Regression: quantify categorical data by assigning numerical values to categories, resulting in an optimal linear regression equation for transformed variables
- Correspondence Analysis: analyze two-way contingency tables or data that can be expressed as a two-way table, such as brand preferences or sociometric choice data
- And more.
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Key words: spss, 11, 5, spss, serial, 11, spss, 11, serial, spss, version, 11.5, spss, v, 11.5, spss
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