Kreuzklassifik

Kreuzklassifik is a term originating from German that translates to "cross-classification" or "cross-tabulation" in English. It refers to a statistical method used to analyze the relationship between two or more categorical variables. In essence, it involves creating a table where the rows represent the categories of one variable and the columns represent the categories of another variable. The cells within the table then display the frequency or count of observations that fall into each combination of categories.

This technique is fundamental in exploratory data analysis and hypothesis testing. By examining the distribution of frequencies across the cells, researchers can identify potential associations or patterns between the variables. For instance, a cross-classification of "gender" and "opinion" could reveal if certain opinions are more prevalent among males or females.

The interpretation of a Kreuzklassifik often involves comparing observed frequencies to expected frequencies, which are calculated based on the assumption of independence between the variables. Statistical tests such as the chi-squared test are commonly employed to determine if the observed deviations from independence are statistically significant. Kreuzklassifik is a widely used tool in various fields, including social sciences, market research, and public health, for understanding the interplay of categorical data.