Have you seen this paper?

Von Elm, E., Altman, D.G., Egger, M., Pocock, S.J., Gøtzsche, P.C., Vandenbroucke, J.P. and Strobe Initiative, 2014. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: guidelines for reporting observational studies. International Journal of Surgery, 12(12), pp.1495-1499.

Article The Strengthening the Reporting of Observational Studies in ...

Thanks! That's another good example of the family of what I'm looking for, but do you know of one for surveys? The closest I've seen is O'Brien 2014 Academic Medicine for qualitative in general.

Try looking at a survey research text.  Many will have a chapter on reporting results.  You might also look at the author guidelines for Public Opinion Research which is the journal for the American Association for Public Opinion Research (AAPOR) or the AAPOR website.

Andrew -

Are you referring to measures of accuracy for quantitative data too?  It seems to me that it depends on the subject matter, but there are all kinds of metadata that you might use, including, I'd think, information on qualitative data. -  If you research the term "metadata," note that I am referring to data about the methodologies involved, and sources of error for your data ("data about data").  However, I think the same term is used for data regarding pictures, so beware if you research that term. 

At the govt statistical agency where I worked, estimated relative standard errors (RSEs) for "official statistics" were our main measure of accuracy.  (Confidence intervals give essentially the same information in less compact form.  They may be better, but perhaps not when reporting a great many tables of aggregate results.)  But these were quantitative data. The idea was to control for bias and keep nonsampling error down, as RSEs are not specifically designed to cover those areas, but essentially are usually impacted by them to some degree - the worst case scenario being a census with a great deal of nonsampling error.  - For qualitative data, you might consider analogous thinking where you would discuss the variability in your data, and how to categorize it to understand it better and avoid letting one category impact another so much - analogous to stratification. 

Other information can be written into a "technical notes" section.  There were some feature articles in our agency publications, and other papers written on methodology (such as ones I put on ResearchGate, partially for easy access to those involved with these data). 

I also like graphics, though again that is more quantitative.  For regressor analysis on your data, or for data quality editing, it is often the case that scatterplots can be very informative. 

If you are not referring to measures of accuracy, but instead to something like the means or totals or modes or proportions to be reported, then that really depends upon the questions asked and your goals.  If everything you have is qualitative, then analogous to those measures, say of central tendencies,  I'd think you'd need to describe aggregate groups of survey results.  What were repeated themes that emerged?   But I don't know qualitative surveys.  If they are all you are interested in, I hope you find an expert on them. 

For quantitative data, it may be good to mix tables and graphs with text and equations to keep a report 'readable' and more effectively communicate information. 

I agree that textbooks can help.  Here are a few which are geared toward more quantitative, formal surveys:

Cochran, W.G(1977), Sampling Techniques, 3rd ed., John Wiley & Sons. 

Blair, E. and Blair, J(2015), Applied Survey Sampling, Sage Publications.

Lohr, S.L(2010), Sampling: Design and Analysis, 2nd ed., Brooks/Cole.

Särndal, CE, Swensson, B. and Wretman, J. (1992), Model Assisted Survey Sampling, Springer-Verlang.     

.............................

That may be some of what you are more interested in ... plus the AAPOR references mentioned by another above, but you might find something below of interest. 

Cheers - Jim

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Ken Brewer's Waksberg Award article: 

 Brewer, K.R.W. (2014), “Three controversies in the history of survey sampling,” Survey Methodology,

(December 2013/January 2014), Vol 39, No 2, pp. 249-262. Statistics Canada, Catalogue No. 12-001-X.

http://www.statcan.gc.ca/pub/12-001-x/2013002/article/11883-eng.htm

He believed in using probability sampling and models together, but he explains the different approaches, the pros and cons. 

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You might also find this to be of interest:

J. Michael Brick on Inference from Nonprobability Sampling:

............... 

This may be of interest:

"2014 WSS PRESIDENT’S INVITED SEMINAR,"

 http://washstat.org/seminars/2014/20140326_brick.html

In that seminar, Mike Brick addressed a committee report on non-probability sampling of many types:

https://www.researchgate.net/publication/273561892_Summary_Report_of_the_AAPOR_Task_Force_on_Non-probability_Sampling

...............

---------------------

 "The Future of Survey Sampling"

 Article in Public Opinion Quarterly 75(5):872-888 · December 2011

Impact Factor: 2.25 · DOI: 10.2307/41345915

 https://www.researchgate.net/publication/261967521_The_Future_of_Survey_Sampling

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"Beyond traditional survey taking: adapting to a changing world

Explorations in Non-Probability Sampling Using the Web"

Proceedings of Statistics Canada Symposium 2014

http://www.statcan.gc.ca/sites/default/files/media/

Article The Future of Survey Sampling

Article Summary Report of the AAPOR Task Force on Non-probability Sampling

Thank you everyone.

I have Blair & Blair.  That is a good one, but perhaps a little thin on theory.  -  They did reference me, so ....    :-)  

It is not a large book, a paperback, and relatively affordable.  Authors are knowledgeable.  Good deal.  

But if something is wanted on qualitative surveys, I don't know a good reference which really focuses on that.  

Please refer to:

· Mark Kasunic(2005). Designing an Effective Survey Carnegie Mellon University.

· Elizabeth Fanning (2005). Formatting a Paper-based Survey Questionnaire: Best Practices. Practical Assessment Research & Evaluation, Vol 10, No 12, pp.1-14.

Regards,

Zuhair

For more details, please refer to

Cochran,W.G. (1977). Sampling techniques, Wiley.

Snedecor, W.G. and Cochran,W.G. (1989). Statistical Methods, Blackwell.

Regards,

Zuhair