Saturday, August 22, 2015

Swift Fox: [mobile-society] Random sampling methods and mobile app based research, Planning for studying internet users with smartphones and via rigorous social science in all languages and countries, See related research at - Pew Research Center: Internet, Science & Technology

Hi Jeff and mobile-societians, 

Thanks for your email to mobile-society list. 

As you think ahead in planning such studies, please keep in mind CC wiki World University and School, which is like Wikipedia with best STEM OpenCourseWare - - for related research. WUaS seeks to accredit on best CC STEM OCW (e.g. CC MIT OCW in 7 languages and CC Yale OYC) in all ~200 countries' main languages for university and high school degrees (e.g. bachelor, Ph.D., law, M.D. and I.B.) and to be in all 7,900+ languages as open wiki schools, where Wikipedia, in 288+ languages, with its 3-year new database Wikidata are anticipating machine learning / RDFs. This will open far-reaching smartphone research possibilities, especially as World University develops with artificial intelligence. WUaS is planning to move to Wikidata soonish hopefully. 

As an example of how WUaS will become an online accrediting university in each country, check out this following tweet from today and, in particular, check out some countries in the Nation States' main page that are already started, each of which is a beginning 'planning-to-accredit' universities in their countries' main language: 

To Gabon World University and School in ALL its Langs  as wiki schools 

While the "Internet" Studies wiki subject at World University has very little presently about research methods (but there may be a little), it will grow, and is planned in most countries' main languages. Check out the main Subjects' wiki page - - too, where you'll find "Internet Studies." The "Mobile Technologies" wiki page - - may be another place such research will emerge. 

And like the main WUaS "Nation States" and "Languages" wiki pages, the "Research" wiki page - - is also central to WUaS and will grow in a mind-boggling myriad of STEM and other ways, and in all languages.  

Best regards, 


- Scott MacLeod - Founder & President  
- Please donate to tax-exempt 501 (c) (3)
- World University and School
- via PayPal, or credit card, here -
- or send checks to
- PO Box 442, (86 Ridgecrest Road), Canyon, CA 94516
- World University and School - like Wikipedia with best STEM-centric OpenCourseWare - incorporated as a nonprofit university and school in California, and is a U.S. 501 (c) (3) tax-exempt educational organization. 

Hi everyone, 

I’m currently directing a project in which participants will be required to download an Android app that’s been developed to collect on-screen survey and non-identifying log data. Ideally, we’d like the sample to be of approximately 2,000 adult Android users living in a large metropolitan area. We would prefer to avoid using a panel maintained by a research company and instead collect the data ourselves using a random sampling method. Given that collecting the data via a mobile application is a fairly new approach, there are a number of considerations that suggest modifications to traditional random sampling designs.

If anyone on this list could suggest publications that discuss random sampling methods used to recruit large samples of participants to install mobile phone apps, that would be very much appreciated!

Please feel free to send your suggestions to ... . Additionally, if you are interested in this topic, please let me know and I will send a list of the references that I receive in response to this query.

Best regards,


Jeffrey Boase, PhD
Associate Professor, University of Toronto

Institute of Communication, Culture, Information and Technology 
Faculty of Information 


See related research at -
Pew Research Center: Internet, Science & Technology



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