Types Of Data - Q,Q,p,s Flashcards
What is qualitative data?
Data hay is expressed in works and non-numberixal
What is quantitative data?
Data that can be counted, usually given as numbers
What are the strengths of qualitative data?
Produces rich detailed data
Gives participants scope to develop their thoughts, feelings and opinions
Has high external validity
What are the limitations of qualitative data?
Difficult to analyse
Comparisons between groups may be difficult to identify
What are the strengths of quantitative data?
- Simple to analyse and comparisons can be made between groups
- Objective and less open to bias
- Easy to replicate
What are the limitations of quantitative data?
- Narrow in scope and meaning - may fail to represent real life
- Open to bias and subjective interpretation
What is primary data?
Data which is the original data that has been collected by the researcher
What forms of collecting data would be classed as primary data?
Conducting an experiment, questionnaire, interview or observation
What is secondary data?
Data that has been collects by someone other than the person who is conducting in free research
What are the strengths of primary data?
It is authentic and obtained for the purpose of a particular investigation - meaning the specifically target the information that the researcher requires
What are the limitations of primary data?
It requires time and effort to collect, takes a lot longer; more effort, more money etc
What are the strengths of secondary data?
- Inexpensive and easily accessed
- Desired information is often already available
What are the limitations of secondary data?
- There may be a large variation in the quality and accuracy of secondary data
- Information may be incomplete/out of data
- The data might not fit the needs of the investigation
What is a meta-analysis?
Refers to the process of combining results from a number of studies on a particular topic to provide an overall view
What are the strengths of meta-analysis’?
It allows us I view data with much more confidence and results can be generalised across much larger populations