Quantitative and Qualitative Data and Thematic Analysis Flashcards
Analysis of Quantitative Data
- Measures of central tendency.
- Measures of dispersion.
- Tables and Graphs.
Mean
Add up all values and divide by number of values.
Median
Place all values in order and select middle value, if there are two middle values calculate the mean of these two values.
Mode
Most common group/s.
Range
Arrange data from highest to lowest and subtract lowest from highest.
Standard Deviation
- Calculate mean of data set.
- From each data item (x), subtract the mean from the data item (x-{x}) then square the result.
- Add up all new results.
- Divide number of values (n) by 1.
- Work out Square root.
Quantitative Data
Info in numbers
Qualitative Data
Info in words or pictures.
+/- of Quantitative
+ Easier to analyse as data is in numbers, making it easier to draw conclusions.
- May not express PP precise thoughts/feelings as answers are fixed. May be low in validity.
+/- of Qualitative
+ Represents true complexities of human behaviour, it is a holistic approach.
- More difficult to detect patterns and draw conclusions because of the large variety of info collected and because words cannot be reduced to a few simple points.
Thematic Analysis
Analyse qualitative data.
Data is produced and then themes or categories are identified.
Researcher then goes back through the data where each theme/category is found and might draw out a few examples.
Responses can be organised according to these themes, patterns identified and conclusions drawn.
Grounded Theory
Bottom-up technique used when analysing qualitative data.
It is where theoretical explanations emerge during the course of the investigation.