Data and meta analysis Flashcards
1
Q
What are the different types of data?
A
Qualitative
Quantitative
Primary
Secondary
2
Q
Describe quantitative data
A
- This is numerical data (as opposed to words)
- E.g. number of words recalled
- Data can be analysed with statistics
- Can be easily converted to graphs etc
3
Q
What are the advantages of quantitative data?
A
- Easy to analyse so comparisons between groups can be made easily
- data in numerical form tends to be more objective and less open to bias
4
Q
What are the disadvantages of quantitative data?
A
Fails to represent real-life as it is in less detail
5
Q
Describe qualitative data
A
- Expressed in words (as opposed to numbers)
- E.g. written description of thoughts/feelings opinions etc
- Could be from, for example, open questions in a questionnaire/interview or a diary record of behaviour
6
Q
What are the advantages of qualitative data?
A
- greater external validity as it provides the researcher with a more meaningful insight into the ppt
7
Q
What are the disadvantages of qualitative data?
A
- Difficult to analyse so patterns and comparisons are hard to find
- as a result conclusions rely on the subjective interpretations of the researcher and mahy be subject to bias
8
Q
Describe primary data
A
- This is original data collected by the researcher for the specific purpose of that piece of research
- Could be from an experiment, questionnaire, observation etc
9
Q
What are the advantages of primary data?
A
- researchers are collecting information for the specific purposes of their study.
10
Q
What are the disadvantages of primary data?
A
- Time consuming as conducting an experiment requires planning + preparation.
11
Q
Describe secondary data
A
- Collected by someone other than the researcher
- Already exists before the researcher started this piece of research
- Could be in journal articles, books, websites etc.
- An example would be government statistics
12
Q
What are the advantages of secondary data?
A
- inexpensive and easily accessed
13
Q
What are the disadvantages of secondary data?
A
- information may be outdated or incomplete
- the content of the data may not match the researcher’s needs or objective which may challenge the validity
14
Q
Describe meta analysis
A
- This method uses secondary data
- Data from a large number of studies which have involved the same research questions and methods of research are combined
- May do a qualitative analysis where they discuss the findings/conclusions
- May do a quantitative analysis and do a statistical analysis of the combined results to see the effect size i.e. the difference or relationship between variables across a number of studies
- One example of a meta analysis is the Van IJzendoorn key study from the cultural variations in attachment section from the Attachment topic (paper1).