week 6 Flashcards
what is data management?
“Data are facts, observations or experiences on which an argument or theory is
constructed or tested.
“Research Data Management covers all of the decisions made during the research
lifecycle to handle research data, from the planning stage of your project up to the
long-term preservation of your data.”
what could data be?
Data may be numerical, descriptive, aural or visual. Data may
be raw, abstracted or analysed, experimental or observational.
what includes data?
Data include but are
not limited to: laboratory notebooks; field notebooks; primary research data
(including research data in hardcopy or in computer readable form); questionnaires;
audiotapes; videotapes; models; photographs; films; test responses. Research
collections may include slides; artefacts; specimens; samples.”
any notes you take are also data
questions to consider about data management:
- where is your data stored?
- how will it be analysed?
- who will have access to the data
- what are the requirements for sharing data?
- what quality checks will you conduct?
what do you need when storing data in excel or recap?
protect it with secure server, password protection
locked in cabinet for hard copy surveys
what should you include when entering the data?
a data dictionary.
define everything, explain everything :)
what they represent, what they are , is it a raw or total score?
how do you code categories when entering data?
assingin numerical values e.g. female=0 male=1
what things you should check on the data?
if the categories can be collapsed and how accurate the data is.
What should you do with qualitative data?
remove identifiable information from file names and documents
have a spreadsheet with identifiable information that is password protected and saved in a different location.
what are three sources of error?
data entry mistakes
data omissions
data errors
How could you mitigate errors?
- internal system checks ( if they are permissible values)
- data integrity checks ( e.g. audit data)
- third party verification ( e.g compared to admissions data).
should you store your data in a usb?
No :)
who will have access to your data?
people listed in the ethics application
what are the codes for missing data?
some are: 98 for dont know , 99 for refused.
missing reponse : 999 or ‘.’ or blank
what other things should you consider?
reporting frequencies
do you include or exclude people with missing data?
what to do with additional reponses ‘other’
reverse coding
what are the 5 approaches to qualitative data analysis?
content ( count words) discourse narrative ( find a beginning to an end) thematic (analysis of language, common ideas, global themes) grounded
what does the approach of the analysis depnds on?
research question
theoretical framework
what is thematic analysis
(analysis of language, common ideas, global themes)
therems that describe the phenomenon of interest, pattern recognition
what is discourse analysis
study of language beyound the sentence.
studies chunks of texts as they flow together. what things mean together.
what should you consider in qual analysis?
the influence of you!
is qual analysis objective?
no , it is subjective and inductive.
what influences of you should you awknoledge?
Education Gender Religious affiliation Social class Biases, prejudice Preconceptions Ethnicity
when does qual analysis start?
Part of the research design Part of the literature review Part of theory formation Part of data collection Part of data ordering, filing and reading Part of the writing
There are unit of analysis in qual analysis too e.g. :
A tool to scrutinise your data Meanings Processes Practices Encounters Narrative structures Organisations Lifestyles
what sampling does grounded theory use?
theoretical sampling
More inductive than thematic analysis