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Briе carried out an observation to see the effects of day care on one-year-olds' reactions to their mother leaving the room - AQA - A-Level Psychology - Question 12 - 2020 - Paper 2

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Briе carried out an observation to see the effects of day care on one-year-olds' reactions to their mother leaving the room. She selected her participants from those... show full transcript

Worked Solution & Example Answer:Briе carried out an observation to see the effects of day care on one-year-olds' reactions to their mother leaving the room - AQA - A-Level Psychology - Question 12 - 2020 - Paper 2

Step 1

Identify the sampling technique used by Brie in her investigation.

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Answer

Brie used an opportunity sampling method as she selected mothers and babies who were available at the day care centre on that Monday.

Step 2

Draw a suitable graph to represent the results shown in Table 3.

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Answer

A bar chart should be created to display the mean score (out of 7) for the intensity of crying after the mother leaves a one-year-old in a playroom. The title of the graph could be 'Mean Score of Intensity of Crying by Day Care Condition'. The x-axis should be labeled 'Conditions' with bars for Condition A and Condition B, while the y-axis should be labeled 'Mean Score (out of 7) for the Intensity of Crying'. The heights of the bars should represent the mean scores: 5 for Condition A and 3 for Condition B.

Step 3

Compare independent groups and matched pairs experimental/research designs as used in child psychology.

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Answer

Independent groups design involves different participants in each group, which can lead to individual differences affecting the results. For instance, one group may have children who cry more than those in the other group, which can skew the findings. On the other hand, matched pairs design involves pairing participants based on specific characteristics (e.g., age, temperament) before splitting them into different conditions. This method reduces individual difference variables but can be harder to implement. Both designs are valuable in research, but they have different strengths and weaknesses in controlling variables.

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