![]() Select a table containing the data we wish to recode.This suggests that only a very small number of respondents have given high ratings, and it may be advantageous to recode some of the higher values to lower values (so that they become less influential as outliers. In the above example, the range goes from 0 to 200 calls per week with a median of 3. Select a table that is showing an average (e.g., see the previous section).Select Data Manipulation > Structure > Average.Press the blue arrow to the right of where it says How many SMS sent in typical week.Click on the How many SMS sent in typical week table.This example shows how to change data from appearing as categorical to instead appearing as numeric: This is done in Q as follows:Ī crosstab can be shown as a chart by clicking “Show Data as’ (top-middle of the screen) and selecting the desired chart type. ![]() A more useful calculation of NET AGREE would remove these two respondents. In the above example the total sample size is 498, which includes two people that said DON'T KNOW. Re-basing involves recomputing the percentages on the table with some categories removed. Click on Strongly Agree and drag it on top of Agree a little.Click on the Attitudes table (left of the screen).To produce a of the proportion of people that said they Strongly agree or Agree a little with the statement Technology is fascinating: To modify or make a more complicated filter press the yellow F at the bottom left of the screen, right-click and select Edit Variable. Click on the Filter drop-down menu on the bottom left of the screen and select Working Men.Click back on the table showing unaided awareness by age.You have now created a filter, but we need to apply it. Enter a name of Working Men and press OK. ![]() (More generally, select the applicable cells.)
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