Timeline for Stratified sampling with replacement of participants in R
Current License: CC BY-SA 3.0
7 events
| when toggle format | what | by | license | comment | |
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| Dec 12, 2016 at 6:51 | vote | accept | HonzaB | ||
| Dec 10, 2016 at 14:45 | answer | added | gRRRR | timeline score: 1 | |
| Dec 10, 2016 at 13:16 | comment | added | gRRRR | Great, now it's clear. I'm not sure it's a question about R per se, or at least that it's a different question from just "how to take a stratified sample." I also don't know of an "official term" for this kind of sampling, but I think that's because it's not a different kind of sampling. I'm pretty sure it's just a matter of taking some things into account. I'll add an answer with what I think your best option is. | |
| Dec 9, 2016 at 12:38 | comment | added | HonzaB | I modified my question. Hope its clear now. I know it is somewhat confusing, but I don't know the official term used for this kind of sampling. | |
| Dec 9, 2016 at 12:37 | history | edited | HonzaB | CC BY-SA 3.0 |
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| Dec 9, 2016 at 12:09 | comment | added | gRRRR | Could you clarify your language a bit? Are you interested in sampling with replacement as opposed to sampling without replacement, or in drawing large enough of an initial sample to end up with enough respondents in each stratum taking into account nonresponse rate? These are different things. "Sampling with replacement" has a very specific meaning, and it does not mean "backup." It means roughly that after you select your first element, you replace it (put it back in the sampling frame), so that it has the same probability of being selected again. | |
| Dec 9, 2016 at 9:41 | history | asked | HonzaB | CC BY-SA 3.0 |