Qualitative and Quantitative data

Question 1

What is quantitative data?

Answer 1

Measuring data in the form of numbers.

Question 2

What is qualitative data?

Answer 2

Describing, emphasising meanings and experiences.

Question 3

What are the strengths and weaknesses of quantitative data?

Answer 3

Strengths - objective, reliable, easy to compare, statistics can analyse large groups, short and quick.
Weaknesses - simple, lacks validity.

Question 4

What are the strengths and weaknesses of qualitative data?

Answer 4

Strengths - holistic, highly valid.

Weaknesses - subjective, unreliable, hard to compare, hard to analyse large groups, lengthy and time consuming.

Question 5

What are the different ways of analysing quantitative data?

Answer 5

Measures of central tendency
Frequency tables
Bar charts
Measures of dispersion

Question 6

What are the measures of central tendency when analysing quantitative data?

Answer 6

Mean
Median
Mode

Question 7

What are the measures of dispersion?

Answer 7

Tells us whether our scores are clustered closely or are widely scattered.
Range
Standard deviation

Question 8

What is thematic analysis?

Answer 8

Thematic analysis is a qualitative data analysis method that involves reading through a data set, and identifying patterns in meaning across the data to derive themes.

Question 9

How do you use thematic analysis?

Answer 9

1) Create a set of initial codes that represent the meanings and patterns in the data.
2) Group together all the sections associated with a particular code.
3) Sort the codes into potential themes.
4) Write up the narrative.