I am conducting a cross-sectional study from NHANES database. I used the "Full.sample.2.year.interview.weight" to weight the data. However, I do not know where should I put the decimal to finish my data analysis.
The total sample size before weighting is 5639 participants.
If I put the decimal after 5 numbers, the sample size will be decreased by 50% and will be around 2700 participants.
If I put the decimal after 4 numbers, the sample size will be increased by 200% and will be more than 10,000 participants.
I am attaching a screen shot after weighting the data.
I used SPSS for analysis, tab (data), weight by "Full.sample.2.year.interview.weight".
When using NHANES weights like "Full.sample.2.year.interview.weight," it's crucial to keep in mind that these weights are typically very small. They are designed to adjust for the complex survey design and ensure that your analysis represents the larger population accurately.
In your case, since the total sample size before weighting is 5639 participants, you should check the scale of the weights. If the weights are provided in thousands, you might need to adjust your total weighted sample size accordingly.
For instance, if the weight is 0.0025, it could mean 2.5 in the weighted analysis. Therefore, confirm the documentation or source of the weights to determine the appropriate scaling and where to place the decimal to accurately represent the weighted population.
DISCLAIMER: I do not consider myself an expert on analysis of complex survey data, and I have had no direct experience with NHANES. However, my Google search turned up this page, which you might find helpful.
https://wwwn.cdc.gov/nchs/nhanes/tutorials/weighting.aspx
What I read there makes me wonder if your Full.sample.etc. variable in the image you uploaded is the one that is called WTINT2YR on the CDC web page. I hope this helps move things along. And I hope that someone with relevant direct knowledge of NHANES jumps in!
- Badges
- Science method
- Similar topics
- Methodology
- Research Methodology
- Qualitative Research