Types of data

Question 1

What is primary data/strengths and weaknesses of it

Answer 1

Original data collected by researcher for a specific study

Strengths:
Authentic data- Data collection is specific to study/aim - cause and effect - reduces unwanted data

Weaknesses:
Time consuming/expensive

Question 2

What is secondary data/strengths and weaknesses

Answer 2

Data collected by someone else

Strengths:
Not expensive
Quick and convenient

Weaknesses:
May be outdated
May not suit researchers aim completely

Question 3

What is quantitative data/strengths and weaknesses

Answer 3

Data that can be analysed statistically e.g. numerical data

Strengths:
Easy to analyse
Objective

Weaknesses:
Lack of detail

Question 4

What is qualitative data/strengths and weaknesses

Answer 4

Rich detailed data
Non numerical

Strengths:
Rich data

Weaknesses:
Difficult to analyse
Subjective

Question 5

What is a meta analysis/strengths and weaknesses

Answer 5

Type of secondary data
Combines data from multiple similar studies to create an overall view

Strengths:
Quick/convenient - Data already exists

Increases generalisability as conclusions are based on a large sample

Weaknesses:
Studies may use different experimental designs and data collection methods so its not 100% comparable

Researcher could be biased when choosing specific studies for meta analysis