Multiple Responses - Dichotomies

Select the Advanced tab of the Multiple Response Table Results dialog box to access options to review the results from the multiple responses/dichotomies tables. They offer more summary statistics and graphs than the Quick tab.

Summary: Review summary tables. Click the Summary: Review summary tables button to produce a summary table for multi-way crosstabulation tables. The summary crosstabulation table will report the frequencies for the entire respective table; the last factor that makes up the table will be tabulated in the columns of the spreadsheet, all remaining factors will be tabulated in the rows. If there are more than two factors in a table, the structure of the table will be as if several two-way tables (for the last two factors) were "glued" together one-after-another for the different levels of the remaining factors. In this manner even 6-way tables can be reviewed in a single spreadsheet. The detail of results that are reported depends on the selections of options in the Options for crosstabulation tables box on the Options tab.

Frequency tables. Click the Frequency tables button to produce a cascade of frequency tables, one for each factor in the table. For each category or level of a factor, the spreadsheet will report:

The number of responses;

The percentage of responses relative to the total number of responses;

The percentage of responses relative to the total number of respondents (cases); that is, the percentage of respondents who gave the respective response (provided that multiple identical responses were ignored; see the option Count unique responses only on the Multiple Response Tables - Quick tab). For multiple response variables and multiple dichotomies, each respondent can give multiple responses; thus, the last column of the table will not add to 100%.

Detailed two-way tables. Click the Detailed two-way tables button to produce spreadsheets with two-way tables. For tables with more than two variables (factors), a cascade of spreadsheets will be produced for the last two factors in the table, within the levels of the other factors. The detail of reported results depends on the choices of options in the Options for crosstabulation tables box on the Options tab (and other options in this dialog box).

Display long text labels. Select the Display long text labels check box to display the long text labels (entered in the Description field in the Text Labels Editor) in the first column of the two-way table results spreadsheets. If no long text labels (Descriptions) were specified in the Text Labels Editor, the setting of this check box will be ignored.

Display selected %'s in sep. tables. Select the Display selected %'s in sep. tables check box to display the percentage tables in separate spreadsheets (this is desirable when you want to produce graphs of percentages from the spreadsheets). Note that this check box is only available (active) if one of the Percentages... options is selected in the Options for crosstabulation tables box on the Options tab. By default, this check box is not selected and if percentages are requested, they will be displayed in the same table together with the frequencies; thus each cell in such results spreadsheets will consist of more than one line.

Interaction plots of frequencies. Click the Interaction plot of frequencies button to produce interaction plot(s). One way to summarize the distribution of frequencies across up to three variables (factors) in a single graph is via a line graph (interaction plot). In each graph, the last (fastest changing) factor will be represented by different line patterns and colors; the next-to-last factor will be represented by "upper-x" labels; the last factor will be represented by "lower-x" labels. If there are more than three factors in the respective table, a cascade of interaction plots will be produced for each combination of levels of the remaining factors.

Summary of table specifications. Click the Summary of table specifications button to produce a spreadsheet with the summary specifications for the factors in the current table. For each factor, the spreadsheet will report:

The name of the factor;

The type of factor (ordinary categorical variable (single variable), multiple response, multiple dichotomy);

The number of levels in the factor;

The count value of the factor;

The names of all actual variables comprising the multiple responses and dichotomies.