Cultural differences- A03
- Created by: MollyL20
- Created on: 10-12-20 14:56
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- Cultural differences- A03
- Larger samples
- A strength of combining the results of attachment studies carried out in different countries is that you and up with a very large sample
- For example, in the Ijzendoorn meta-analysis there was a total of nearly 2000 babies and their PAF.
- This overall sample size is a strength because large samples increases internal validity by reducing the impact of anomalous results caused by bad methodology and very unusual participants
- Samples tend to be unrepresentive of culture
- The meta-analysis claimed to study cultural variation where as the comparisons were between countries not cultures
- Within any country there are many different child-rearing practises. One sample for example might over represent living in poverty which may affect attachment types
- An analysis by Van Ijzendoorn and Sagi (2001) found that distributions of attachment type in Tokyo were similar to Western studies
- Where as a more rural sample had an over representation of insecure resistant individuals
- This mean that comparisons between countries may have little meaning; the particular cultural characteristics of the sample need to be specified
- Method of assessment is biased
- Cross cultural psychology includes the idea of etic and emic. Etic means cultural universals while emic means cultural uniqueness. The Strange situation was designed by American researcher based on a British theroy
- There is a question over whether Anglo-American theories and assessments can be applied to other cultures. Trying to apply a theory or technique designed for one culture to another culture is known as imposed etic
- An example of imposed etic may be the idea that a lack of separation anxiety and lack of pleasure on reunion indicate an insecure attachment in the strange situation
- In Germany this behaviour might been seen as more independence than avoidance and hence not a sign of insecurity within the cultural context (Grossman and Grossman 1990)
- Larger samples
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