Design & usage
When making a table you will generate an average time-use of the Flemish in 2013, differentiated into 11 general categories.
You can adapt the table by requesting extra details by adding certain variables. When you, for instance, check off 'sex' and in the next step click on 'make the table', you will generate a table with time-use data differentiated for both men and women. This way you can compare according to different background variables, such as sex, age, level of education, etc. When you are only interested in the time-use of one particular group, e.g. men, you can choose to generate tables with only the time-use of men.
To delete a variable from the table, you just click on the black flag next to the name of the variable (on the left side of the screen). A black flag means that the variable will be included into the table, a grey flag means that the variable will be excluded.
You can combine several variables when generating tables. The variables will be then crossed with each other in a hierarchic manner. By grabbing and dropping these variables on top of each other you can change which variable is primary to others. This way you can for example look at the time-use of men and women in specific labour groups by dropping labour situation above sex.
Comparisons between three datasets
There are 4 options when selecting a year of research:
2013 (complete set)
2013 (comp. 1999/2004)
It is very important that when you are interested in the 2013 data, you select ‘2013 (complete set)’. When you want to look at the evolution of time-use across the past years, you must select the option ‘2013 (comp. 1999/2004)’.
Why are there two options for 2013?
In 2013, the diary registrations were spread out across the whole year. In 1999 and 2004 the registration only took place during several months of the year and not during the whole year. The periods that were excluded from the data collections are respectively from mid April till mid July, and from the end of August till the beginning of November.
A given period of time during the year can have a great impact on one's time-use. Therefore we made the three datasets comparable by only including diaries that were registered within the same period. Making a selection on the 2013 dataset was the only way to get a correct and fair comparison.
When only looking at 2013, we include the diaries that were collected throughout the whole year. This gives the best estimate for the time-use of the Flemings in 2013.