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Analysis Types and Terms
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- 1What are the weaknesses of a correlational analysis?It can't be used to show cause and effect and can only be used to show linear relationships.
- 2What are behavioural categories?Whether it is a qualitative or quantitative analysis.
- 3What are pre-existing categories?The researcher decides on the categories before starting.
- 4What are emergent categories?The categories/themes that emerge when examining data.
- 5What is a correlation coefficient?A number between -1 and +1 that tells us how closely the co-variable in a correlational analysis are related.
- 6What is content analysis?An observational study in which behaviour is observed indirectly in written or verbal material such as books, interviews ect. Behaviour is categorised and may be counted.
- 7What are the strengths of content analysis?High ecological validity because the real communications are current and relevant, sources can be retained and accessed by others so findings can be replicated and tested for reliability.
- 8What are the weaknesses of content analysis?Likely to be culture biased because interpretation will be affected by the language and behavioural categories used, observer bias reduces objectivity and validity.
- 9What is a meta-analysis?A combination of different studies' results. The studies had similar aims.
- 10What are the strengths of a meta-analysis?Effective size because DV = measure of strength and relationship between 2 variables = more reliable conclusion.
- 11What are the weaknesses of a meta-analysis?Studies sampled can vary considerably and aren't always comparable, conclusions aren't always valid.
- 12What is a correlational analysis?Determining the extent of a relationship between 2 variables. Co-variables will display different types of correlation.
- 13What are the strengths of a correlational analysis?It can be used to analyse trends and associations.
Informationen
- Beschreibung
- Different ways experimental data can be analysed and the strengths and weaknesses of the methods.
- Erstellt von
- Hazel Meades
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- 68
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