Non experimental- Types of data

Question 1

What is qualitative data

Answer 1

Focus on in depth analysis of opinions and views

Question 2

Give a strength and a limitation of qualitithve data

Answer 2

S- deeper understanding

L-based on subjective account, open to distortion

Question 3

What’s quantitive data

Answer 3

Findings expressed in numerical form

Question 4

Gives strength and a limitation of quantitative data

Answer 4

S- objective (less open to interpretation)

L- statistic have little meaning, lose the human

Question 5

What’s primary data

Answer 5

Collected for purpose of investigation by researcher

Question 6

Give strength and limitation of primary data

Answer 6

A- targeted and fit for purpose

L- time consuming and spenny

Question 7

What’s secondary data

Answer 7

Pre existing data that’s already been collected

Question 8

Give a strength and limitation of secondary data

Answer 8

S- already been tested so we know significance level

L- variation in quality as can’t quality control

Question 9

What’s a meta analysis

Answer 9

Combining data from lots of studies in particular area to see if result consistent

Question 10

Give a strength and a limitation of meta analysis

Answer 10

S- increased confidence in findings

L- prone to publisher bias and file draw effect

Question 11

What’s publisher bias and file draw effect

Answer 11

Pub- journals favor certain types of results.

File draw- researchers don’t even submit null results, so they never reach journals.