The effect of measurement reliability on sample size

Reply Wed 19 Jun, 2019 03:10 am
The following calculator (like many of its kind) uses a number of variables to determine an adequate (and importantly, representative) sample size:

This calculator does not however consider the reliability (or precision) of each measurement taken.

And so by definition it would spit out the same sample size whether I was investigating the country of birth of a sample of people or my guess at their weight. These are clearly two examples exaggerating two ends of the spectrum from 'can measure with factual accuracy' and 'is likely to be hit and miss but hopefully about right' but I wanted to make my point clear.

My question is this. Does the position on this spectrum affect the sample size required? If not, why?

In my head (happy to be corrected), it seems as if a sample size subject to such unreliability would require a larger sample size (unless of course reliability and sample size are two separate things i.e. reliability cannot be improved with an increasing sample).

Note: Apologies if I have confused precision/reliability - I understand they are often taken to mean two different things.

Thank you in advance.
  • Topic Stats
  • Top Replies
  • Link to this Topic
Type: Question • Score: 0 • Views: 1,429 • Replies: 0
No top replies


Related Topics

Amount of Time - Question by Randy Dandy
Statistics - Question by ekkline
Math of infinity - Discussion by dalehileman
Probability Question. - Discussion by babemomlover
  1. Forums
  2. » The effect of measurement reliability on sample size
Copyright © 2020 MadLab, LLC :: Terms of Service :: Privacy Policy :: Page generated in 0.03 seconds on 10/28/2020 at 08:55:21