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Weighting data for descriptive analysis of background characteristics
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chichi2017-03-09T20:47:29-00:00Re: Weighting data for descriptive analysis of background characteristics
https://userforum.dhsprogram.com/index.phpindex.php?t=rview&goto=11941&th=5945#msg_11941
If you have correctly merged the files, you will only be working with cases for which hiv03 (the test result) is not coded ".", and for those cases the correct weight to use is hiv05.
When you are checking recodes, checking data quality, doing some initial exploration of the data, you can omit the weights. Otherwise, we recommend that you use weights (in this instance, hiv05) for descriptive purposes, as well as for statistical models, because then your results will be representative of the household population.
]]>Bridgette-DHS2017-03-10T15:05:18-00:00Re: Weighting data for descriptive analysis of background characteristics
https://userforum.dhsprogram.com/index.phpindex.php?t=rview&goto=11982&th=5945#msg_11982
chichi2017-03-15T16:50:39-00:00Re: Weighting data for descriptive analysis of background characteristics
https://userforum.dhsprogram.com/index.phpindex.php?t=rview&goto=12509&th=5945#msg_12509
Please give me some advices , which one is better: use a weighted data, or unweighted data. thank you :)]]>atikaukh2017-05-31T16:13:56-00:00Re: Weighting data for descriptive analysis of background characteristics
https://userforum.dhsprogram.com/index.phpindex.php?t=rview&goto=12510&th=5945#msg_12510
Please look at earlier postings on this subject. You should always use the weights. In your case, use "svyset", including "[pweight=v005]", and then "svy: logit...." If you do not include the weights, then your estimates will be biased toward the strata that were over-sampled and away from the strata that were under-sampled.
]]>Bridgette-DHS2017-05-31T16:25:37-00:00Re: Weighting data for descriptive analysis of background characteristics
https://userforum.dhsprogram.com/index.phpindex.php?t=rview&goto=12512&th=5945#msg_12512
but unfortunately now I am using SPSS. I have a problem with their output when I run my binary logistic regression with weighted data and then the output still unweighted data.
I am running a logistic regression in SPSS with a sample that uses survey weights. The sample size is 1000 and the weights are along the lines of .86 or 1.23 depending on the case. I am using the weights option in the Data command to weight my sample before I run my logistic regression but then I get the unweighted frequencies in the Categorical Variables Coding part of the output.
At the beginning my output gives me a Case Processing Summary, which says Unweighted cases with a superscript "a" which then says "If weight is in effect see classification table for the total number of cases." My classification tables all are properly saying 1000 cases which is right. I have 7 predictor variables (all categorical) and one outcome variable (dichotomous). My output seems to make sense, but I am troubled that the frequencies are all the unweighted frequencies. Are my results still legitimate? I am afraid that I may not understand the weighting quite properly.
If I use stata, is that problem can be solved? ]]>atikaukh2017-05-31T17:26:51-00:00Re: Weighting data for descriptive analysis of background characteristics
https://userforum.dhsprogram.com/index.phpindex.php?t=rview&goto=13367&th=5945#msg_13367
Bridgette-DHS2017-10-29T11:21:18-00:00