Unleash the full potential of your data through perceptual mapping, optimal scaling, preference scaling, and dimension reduction techniques. SPSS Categories provides you with all the tools you need to obtain clear insight into complex high-dimensional or categorical data.
You can visually interpret datasets and see how rows and columns relate in large tables of counts, ratings, or rankings. This gives you the ability to:
The advanced procedures available in SPSS Categories enable you to perform additional statistical operations on categorical data.
SPSS Categories’ dimension reduction techniques enable you to clarify relationships in your data by using perceptual maps and biplots.
The new preference scaling feature enables you to further visualize relationships among objects. The breakthrough algorithm on which this procedure is based enables you to perform non-metric analyses for ordinal data and obtain meaningful results.
Read more about the procedures included in SPSS Categories.
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 is available in English, Japanese, French, German, Italian, Spanish, and Simplified Chinese. Contact your local office to find out version information and more.
SPSS Categories 16.0 is now available in North America. You can order new licenses of SPSS Categories 16.0 directly from the Web store. If you would like to upgrade an earlier version of the software to SPSS 16.0, please contact an SPSS Inc. representative at 1.800.543.2185 (North American customers only). To find out the availability of SPSS 16.0 in your area, contact your local office.
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