A weight variable provides a value (weight) for each respondent in a data set. Response data that have relatively large weights have more influence in the analysis than the data that have smaller weights. As default setting the imported Weight variable is checked and used. In addition to compulsory Weight variable, you can designate some other variables and use them as new/additional weight variables.


Weight example


In the example below you can see 10 respondents:

 

respondentgenderbrand awareness brand A
1womanKnow brand A
2womanDon't know brand A
3manDon't know brand A
4manDon't know brand A
5manDon't know brand A
6manDon't know brand A
7manDon't know brand A
8manDon't know brand A
9manDon't know brand A
10manKnow brand A


Based on this table you can see the following unweighted results:

Brand awareness: 2/10 * 100 = 20%

Brand awareness among women: 1/2 *100 = 50%

Brand awareness among men:  1/8 * 100 = 12,5%

 

When we need men and women to be representative, we might want to weight them to 50% men and 50% women. To do this, we add a weight factor:


 

respondentgenderbrand awareness brand Aweight factor
1womanKnow brand A2,5
2womanDon't know brand A2,5
3manDon't know brand A0,625
4manDon't know brand A0,625
5manDon't know brand A0,625
6manDon't know brand A0,625
7manDon't know brand A0,625
8manDon't know brand A0,625
9manDon't know brand A0,625
10manKnow brand A0,625


In this table above we have 2 women, but both count as 2,5. This makes them counting for 5 in total. Every man has a weight factor of 0,625 which in total adds up to 5 too (8 * 0,625). Now we have weighted 5 women and 5 men.


Now the weighted results would become:

Brand awareness: ((1*2,5) + (1*0,625))/(2,5+2,5+0,625+0,625+0,625+0,625+0,625+0,625+0,625+0,625) * 100 = 3,125/10 = 31,25%


Which doesn't change the result within the women's group: 

Brand awareness among women is (1*2,5)/(2,5+2,5) *100 = 50%

And doesn't change the result within the men's group"
Brand awareness among men is (1*0,625)/(0,625+0,625+0,625+0,625+0,625+0,625+0,625+0,625) * 100 = 12,5%



Weight variables selection in Dapresy

Selecting variables that will be used as weight is possible by accessing Weight variables tab, under Report objects section. Once you are on the weight tab the new screen will appear where you define the variables to use as weight.


To select a new Weight variable, check the box next to the variable. Change the default Weight by selecting a round button next to checkbox. The Code and Report text search are also present on this list.