When conducting survey analysis, cross tabulations (also referred to as cross-tabs) are a quantitative research method appropriate for analyzing the relationship between two or more variables. Cross tabulations provide a way of analyzing and comparing the results for one or more variables with the results of another (or others). The axes of the table may be specified as being just one variable or formed from a number of variables. The resulting table will have as many rows and columns as there are codes in the corresponding axis specification.
In many research reports, survey results are presented in aggregate only – meaning, the data tables are based on the entire group of survey respondents. Cross tabulations are simply data tables that present the results of the entire group of respondents as well as results from sub-groups of survey respondents. Cross tabulations enable you to examine relationships within the data that might not be readily apparent when analyzing total survey responses. Continue reading