Data Collection, and Presentation

Question 1

What are the 2 Types of Research? (and define)

Answer 1

Quantitative research- collecting and analysing numerical data; how much, how often, how many people.
Qualitative reseach- collecting words and meanings focuses on quality; what happened, why, when, what are the effects

Question 2

What are the advantages and disadvantages of quantitative data?

Answer 2

advantages- results are simple, allows research to draw conclusions easily
disadvantages- restricts participants from providing in-depth reasoning or elaboration on the thinking behind their responses

Question 3

What are the advantages and disadvantages of qualitative data?

Answer 3

advantages- participants can be unrestricted in their responses
disadvantages - much more difficult to summarise or compare with other data

Question 4

How is quantitative research analysed and presented?

Answer 4

1. Organise data - tables and graphs
2. Summarise data - using descriptive statistics
3. Present data - using graphs (column and histogram)
4. Interpret data - what does scores represent? what behaviour, thought, emotion?

Question 5

How is qualitative research analysed and presented?

Answer 5

via content analysis:
1. read and familiarise yourself with the discussion transcript
2. look for similarities and differences (code)
3. assign labels, construct themes.
4. construct table to list themes with examples, quotes, and frequency of themes.

Question 6

What are the 2 Types of data? (and define)

Answer 6

1. Objective data: based on a response that is directly observed and can be verified – leaves little room for interpretation (e.g. heart rate, amount of time)
2. Subjective data: collected through self-reports. Determined by participants, cannot be verified and observed – leaves a lot of room for interpretation and bias. (e.g. Likert Scale, “Rate this statement…” 1-7)

Question 7

What are the 3 primary measures of assessing data?

Answer 7

1. Objective Quantitative Measures - collecting numerical data using objective methods
2. Subjective Quantitative Measures - collecting numerical data using subjective methods
3. Subjective Qualitative Measures - collecting non-numerical data that needs to be read and have core themes analysed