SPSS Categories | Statistics, Categorical Data, Perceptual Mapping

See Relationships in Categorical Data

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:

Work with and understand nominal and ordinal data with procedures similar to conventional regression, principal components, and canonical correlation
Perform regression using nominal or ordinal categorical outcome variables

Turn qualitative variables into quantitative ones

The advanced procedures available in SPSS Categories enable you to perform additional statistical operations on categorical data.

Use SPSS Categories� optimal scaling procedures to assign units of measurement and zero-points to your categorical data
Perform correspondence and multiple correspondence analyses to numerically evaluate similarities between two or more nominal variables in your dataset
Summarize your data according to important components by using principal components analysis
Use nonlinear canonical correlation analysis to incorporate and analyze variables of different measurement levels

Graphically display underlying relationships

SPSS Categories� dimension reduction techniques enable you to clarify relationships in your data by using perceptual maps and biplots.

Perceptual maps are high-resolution summary charts that graphically display similar variables or categories close to each other. They provide you with unique insight into relationships between more than two categorical variables.
Biplots enable you to look at the relationships among cases, variables, and categories. For example, you can define relationships between products, customers, and demographic characteristics.

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.

Plot in SPSS Categories showing the results of a two-dimensional multiple correspondence analysis of a table.
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, Chinese, Polish, Korean, and Russian. Contact your local office to find out version information and more.

Availability

Anticipated availability is September 2005. You can order new licenses of SPSS Categories 14.0 directly from the Web store. If you would like to pre-order an upgrade to SPSS Base 14.0, please contact an SPSS Inc. representative at 1.800.543.5815 (North American customers only). To find out the availability of SPSS 14.0 in your area, contact your local office.

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SPSS® Categories™

See Relationships in Categorical Data

Turn qualitative variables into quantitative ones

Graphically display underlying relationships

Availability