733451
Descripción
Fichas por Hazel Meades, actualizado hace más de 1 año
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Creado por Hazel Meades
hace más de 10 años
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| Pregunta | Respuesta |
| What 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. |
| What are behavioural categories? | Whether it is a qualitative or quantitative analysis. |
| What are pre-existing categories? | The researcher decides on the categories before starting. |
| What are emergent categories? | The categories/themes that emerge when examining data. |
| What is a correlation coefficient? | A number between -1 and +1 that tells us how closely the co-variable in a correlational analysis are related. |
| What 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. |
| What 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. |
| What 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. |
| What is a meta-analysis? | A combination of different studies' results. The studies had similar aims. |
| What are the strengths of a meta-analysis? | Effective size because DV = measure of strength and relationship between 2 variables = more reliable conclusion. |
| What are the weaknesses of a meta-analysis? | Studies sampled can vary considerably and aren't always comparable, conclusions aren't always valid. |
| What is a correlational analysis? | Determining the extent of a relationship between 2 variables. Co-variables will display different types of correlation. |
| What are the strengths of a correlational analysis? | It can be used to analyse trends and associations. |
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