data handling + analysis

Question 1

what is a meta-analysis?

Answer 1

• statistical technique using secondary data
• researcher analyses all data from different studies

Question 2

why would someone use a metanalysis/ would not?

Answer 2

would:
- indentify trends/relationships to gain clear overview
- generalise data across larger pops
would not:
- incorrect conclusions can be drawn
- may not select relevant studies

Question 3

what is content analysis?

Answer 3

• quantifying qualitative content of written, verbal or visual material
• analyses qualitative data in a numerial way

Question 4

what is the process of content analysis?

Answer 4

• coding units set before analysis
• create categories
• keep tally of every time response fitted into category
• analyse tallies for each categories by turning into a percentage

Question 5

strengths of content analysis?

Answer 5

• complements other methods-> useful in longtitudional studies (detect changes and trends)
• reliable- easy to replicate
• ease of application- easy to perform, unexpensive, dont require contact with p’s

Question 6

limitations of content analysis?

Answer 6

• lack of causality- not performed in controlled conditions so dont know cause
• subjective/flawed results- based on own opinion
• descriptive- diff to analyse all the data and quantify it. dont reveal reasons for behaviour

Question 7

what are the processes of thematic analysis?

Answer 7

1. familiarisation with data (read data to get immersed)
2. coding (identify and org features of data)
3. search for themes (identify patterns)
4. review themes (check against data then refine)
5. define + name themes
6. write up (explain info gathered from analysis)