cross-tabulation

Cross-tabulationclick for a larger image
Fig. 7 Cross-tabulation.

cross-tabulation

a contingency table method of displaying data by a 2 x 2 table in order to examine the relationship between two VARIABLES with a view to providing explanations; for example, the investigation of Heath et al. (1991) of the 1987 election showed that class is still an important variable in explaining voting behaviour. See Fig. 7.

If, as above, an association appears to exist, other variables may be introduced by further dividing the categories (e.g. by sex and age). The purpose of displaying data in this way is not only to examine what relationship there may be between variables, but to explore this relationship by the further breakdowns that may be made, e.g. by eliminating 'S purious’ relationships, explained by the prior influence of a third variable, or 'S pecifying’ the interaction between three or more variables. See also LAZARSFELD, CORRELATION, MULTIVARIATE ANALYSIS.

References in periodicals archive ?
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Table 7 reports that frequency observed and expected for this cross-tabulation.
On cross-tabulation, 27% of households were both able and willing to pay for circumcision, 13% were willing but not able, 35% were able but not willing, and 25% were neither able nor willing.
They can create elegant and persuasive Quick Reports, Charts/Graphs, Cross-tabulation Reports and Labels (mailing, barcode, etc) in minutes with little or no technical knowledge.
Furthermore, a cross-tabulation by gender of the data from the 2013 nationwide study of hunting participation among adult Americans reveals that women hunters appear to be substantially more likely to choose "for the meat" as their most important reason for hunting in the year prior to the survey: 55 percent of women hunters chose "for the meat," compared to just 27 percent of male hunters.
Simple examples are used to explain cross-tabulation.
Through cross-tabulation analysis, (see Table 3), it was found that the majority of students scored high in both general health knowledge and chronic health knowledge.
Cross-tabulation statistics [frequency distributions, Pearson chi-square ([chi square]) statistics, Fisher's exact test, Monte Carlo tests, degrees of freedom (df), significance level] (Argesti, 1990; Siegel & Castellan, 1988).
There is also no cross-tabulation of the data and little interpretation of its significance or implications.