# data[].attributes.headline
I am poking my eyes out with this miniature word count. How many words would you say for each theme paragraph? 

# data[].attributes.subject
I am poking my eyes out with this miniature word count. How many words would you say for each theme paragraph? 

# data[].attributes.body
do we answer the question in terms of feeling sense of belonging to the UCL community as a whole or to e.g. society, accommodation community which are a subset of the large UCL community?

# data[].attributes.body
what can we write in the method section if we don't have any demographic information? (e.g., the mean and sd age of the participants)

# data[].attributes.body
do we have a template?

# data[].attributes.body
how many words shall we put in each part?

# data[].attributes.body
do we have to have pre-existing literature that has a gap that we address in our intro, like in a quantitative lab report?

# data[].attributes.headline
hello when are we getting coursework grades back :)

# data[].attributes.subject
hello when are we getting coursework grades back :)

# data[].attributes.body
I mean do we have to justify the recruitment method, how we developed themes etc. or just describe these things

# data[].attributes.body
Do we need to have a cover page

# data[].attributes.body
Do we need to clarify if we are participants in the study?

# data[].attributes.body
Is the title of the lab report the broad or specific research question? I also don't understand how to clearly state the research questions as required in the mark scheme without just plagiarising the title of the lab report?

# data[].attributes.body
As the methods section of the mark scheme just says to describe the various aspects, does this mean no justifications are necessary?

# data[].attributes.body
Do we write our report using ‘I’ or keep it less personal? For example, in the positionality statement, should we say “I am a university student” or “The researcher who has analysed the data is a university student.”?

# data[].attributes.headline
Is there any scope to write about things only mentioned by one participant or is this cherry picking?

# data[].attributes.subject
Is there any scope to write about things only mentioned by one participant or is this cherry picking?

# data[].attributes.headline
Are we supposed to relate things back to broader psychological concepts? For example, if someone mentions feeling like an outsider, can we mention social identity theory?

# data[].attributes.subject
Are we supposed to relate things back to broader psychological concepts? For example, if someone mentions feeling like an outsider, can we mention social identity theory?

# data[].attributes.body
How relevant are participants' feelings and emotions about feeling part or not part of a community? This was asked in the survey, hence lots of participants discussed why their feelings towards certain communities were positive, negative etc. and things like pride came up a few times e.g. feeling proud to be part of UCL. But I'm not sure how relevant this is to the research questions?

# data[].attributes.body
Do all themes have to address each research question at one? For example if you had a theme addressing a reason why people didn't feel part of a community, this may not be directly addressing the extent to which students feel part of a community or what communities they feel part of.

# data[].attributes.headline
Do all codes have to fit into all the themes we create/ what do we do with any 'miscellaneous/ outlier' codes which may not fit into the themes we have created? 

# data[].attributes.subject
Do all codes have to fit into all the themes we create/ what do we do with any 'miscellaneous/ outlier' codes which may not fit into the themes we have created? 

# data[].attributes.body
Can a theme capture two opposite perspectives on something or should that be made into two different themes?

# data[].attributes.body
do we need to have a format? The format of the lab report example is a bit messy

# data[].attributes.headline
With the participants question, I mean because of the repetition of the data in 17 and 18 - 18 is the same data as 17.

# data[].attributes.subject
With the participants question, I mean because of the repetition of the data in 17 and 18 - 18 is the same data as 17.

# data[].attributes.headline
Is there any limit to how long coded lines should be? Also if the meaning of the sentence isn't clear in isolation do we code more to contextualise the quote (or are specifics like this not important when coding)

# data[].attributes.subject
Is there any limit to how long coded lines should be? Also if the meaning of the sentence isn't clear in isolation do we code more to contextualise the quote (or are specifics like this not important when coding)

# data[].attributes.headline
So do we say there are 17 participants instead of 18?

# data[].attributes.subject
So do we say there are 17 participants instead of 18?

# data[].attributes.body
is coding supposed to be for the smallest stuff or can they be very broad? e.g. if one sentence in one code has 2 points

# data[].attributes.body
Data file 17 has 4 paragraphs - the latter 3 of which are from data file 18? Is this the same participant or does data file 17 include participants 17 and 18

# data[].attributes.body
should we just do semantic coding?