week 4 Flashcards
Diversity in qualitative data collection
Wide range of qualitative data collection techniques that generate quite different kinds of data
There are no “right” or “wrong” methods.
Methods of data collection and analysis can be more or less appropriate to our research questions.
The research question, data collection technique, and method of data analysis are dependent on one another.
Researcher-provoked data
Interviews are the most widely used method of data collection in qualitative research in psychology:
Easy access and speed.
The data can be analysed in a variety of ways.
Help to understand people’s behaviour.
Contrived data – “affected by the formulations and assumptions of the researcher”
The argument for naturally occurring data
Naturalistic data - derives from situations that exist independently of the researcher’s intervention (Silverman, 2017).
Data exists independently of researchers (naturally occurring talk), rather than data that is ‘got up’ (Potter 2004).
Preference for research within natural settings, free from any intervention by a researcher.
Discursive psychologists – work with tapes and transcripts of naturally occurring interactions.
The debate between natural and contrived data
The most obvious: laboratory versus “in the field”.
Less obvious, more pernicious, within the qualitative sphere:
Interview or focus group vs. naturally occurring interaction.
Even less obvious but immensely crucial: your data is not people; your data is the interaction.
Our interactions belong to everyone, to the situation, rather than to people.
Measure your data in length (e.g., hours), not people.
What is naturally occurring data
Everyday interactions
Passing the “deadscientist test” (Potter, 1996)
The test is whether the interaction would have taken place in the form that it did had the researcher not been born or if the researcher had got run over on the way to the university that morning.”(Potter, 1996, p. 135).
Would the interaction have taken place if the researcher had been killed that morning? If it wouldn’t, then it is considered researcher-generated (Wiggins, 2017).
The unwell social scientist test (Potter & Shaw, 2018).
What counts as naturally occurring data
Social interactions in public places
Institutional interactions
Diaries (provided they are not researcher-generated)
Conversations in natural environments, such as workplaces or coffee shops
Playground interactions
TV interviews
Press and social media
Online discussion forums
Blogs
Online data as a natural setting
Internet communities are rich sources of qualitative data (Eysenbach & Till, 2001).
How people use the internet
The role of the internet in social life
Seldom-heard communities (Kaufmann & Tzanetakis, 2020).
Extremist groups and ideas (Caiani & Wagemann, 2009)
Groups or behaviour that only exist online (Horne & Wiggins, 2009)
Types of online data
Pictures
Hits on a site
Instagram posts.
Tweets
Likes
Online forums
Snapchat stories
YouTube videos
Hashtags
Online news
Online forums/newsgroups
Dating websites
Social networking sites
Chat/instant messaging
Online games/worlds
Blogs
How to collect online data
Researchers from many disciplines, with varying methodological preferences, deploy a wide range of online research methods to various research problems (Lee, Fielding, & Blank, 2008).
Virtual ethnography
Copying data
Recruiting participants to collect private data
Screen capture software
Video-recordings
Data mining programs
Keystroke logging and eye-tracking software.
An example Trajectories and types of social support during the pandemic (Ntontis et al., 2022)
Support was offered or requested through online mutual aid groups.
The study focused on the trajectories and types of social support that were mobilized in Covid-19 mutual aid groups in the UK.
Instead of asking people, the researchers looked at how people offered or requested practical, emotional, and informational support on Facebook groups.
Challenges/practical issues to consider in naturalistic data
How much data is enough?
Gaining access: ethics, consent, trust
Safeguarding of participants; e.g., consent
Safeguarding of self; e.g., when to leave the field
Other specific challenges
Problems with online data
Recording naturalistic data
Starting data collection
Decide on a type of data
How is it relevant to your research question?
Justifying the use of naturalistic data – don’t use it for the sake of it.
How are you going to find relevant data?
Employ relevant keywords (Bryman, 2012).
How are you going to collect that data?
Do you need specialist software?
Gaining access: ethics, consent, and trust
You need ethical approval to collect naturalistic data (including online data).
Using video/audio recordings: You need to capture the actual words. A detailed audio of their talk (e.g., video recordings in the family home).
Time-consuming and challenging process.
Permission from participants to recruit and analyse their talk.
Ideally, participants should have the right to withdraw at any time. But how can we separate individual contributions in an interaction
Ethics guidelines for internet-mediated research
Respect for the autonomy, privacy and dignity of individuals and communities
Public/private distinction
The extent to which potential data derived from online sources should be considered in the public or private domain. What is private and what isn’t?
Scientific integrity: How reduced levels of control may impact the scientific value of a study?
Maximising benefits and minimising harm: Are you protecting those you study? Are you protecting yourself?
Social responsibility: Practices might disrupt/harm social groups?