MOOC: week 2 watching – Kara

  • Research ethics committees are more interested in the use of secondary as well as primary data.
  • Ethical reading is important: means that you can cite ethically and acknowledge people’s work accurately and appropriately.
  • There are a significant number of papers which are now being retracted from journals because data has been falsified in the analytic process or manipulated incorrectly. http://retractionwatch.com/
  • It’s ethical not to bore people!
  • The ethics of dissemination is important too: you need to present to your participants as well as to other audiences.

 

MOOC: week 2 reading – Cohen

Cohen’s research focused on the student experience of participating in an distance learning drawing class. She used two primary methods: grounded theory interviews (qualitative) and a content analysis of the critiques. As she notes in her paper, content analysis can be considered to be qualitative or quantitative. She and her dissertation board agreed that her content analysis, following as it did, France Henri’s model, constituted a quantitative approach. Continue reading “MOOC: week 2 reading – Cohen”

MOOC: week 2 reading – Trochim

Trochim’s stance on the qualitative-quantitative debate is that it’s ‘much ado about nothing’ (Trochim, 2006). He believes in the value of a ‘mixed methods’ approach and goes so far as to claim that, ‘At the level of the data…there is little difference between the qualitative and the quantitative.’ He claims that, ‘All qualitative data can be coded quantitatively,’ stating that ‘Anything that is qualitative can be assigned meaningful numerical values.’ Continue reading “MOOC: week 2 reading – Trochim”

‘Smart’ spaces

A few weeks ago, at the start of this course, I was (widely) circling around a research proposal which would be focused on an area of study connected to digital gaming and/or narratives. However, I was flummoxed with regard to taking the next steps towards, as Cresswell¬† terms it, bringing my ideas ‘down to earth’ to a ‘researchable’ proposition; to developing what Jensen and Laurie term an ‘answerable’ research question.¬† Continue reading “‘Smart’ spaces”