Psychology - Methods

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11 Terms

1
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True experiment

  • Participants are randomly allocated to conditions

  • Indépendant variable is manipulated and the dependant variable is measured

  • Data is statistically analysed and the p-value is calculated

  • It is easy to reduce extraneous variables leading to high internal validity

2
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Focus Group

  • A group interview that acts as a purposive sample of 8-12 parti

  • Researcher acts as the facilitator of the group and keeps the discussion focused

  • Data is qualitative and must be interpreted through content analysis

  • Participants may prompt responses from other participants

  • Maybe be biased due to social desirability bias

3
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Case Study

  • Based on method triangulation

  • Data can be quantitative and qualitative

  • Normally longitudinal in nature

  • Focused and detailed look at one person, group or organisation

4
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Naturalistic Observation

  • Can be overt or covert

  • Occurs in a natural environment so high external validity

  • Hard to rule out extraneous variables

  • Can use an observational checklist to obtain quantitative data

  • Can use field notes to obtain qualitative data, these are often difficult to analyse and content analysis is used to interpret the data

  • Typically multiple researchers are used to eliminate bias

5
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Semi Structured Interview

  • Follows the flow of the conversation but has predetermined questions, follow up questions are asked

  • Face to face so may have interviewer effect and social desirability bias

  • Results must be interpreted through content analysis

6
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Natural Experiment

  • Participants are not randomly allocated to conditions

  • The independent variable is naturally occurring and the dependant variable is measured but causality cannot be proved

  • Not possible to control extraneous variables

  • Data is statistically analysed and the p-value is calculated

7
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Correlations Study

  • Often pre-existing data sets are used but they may also be collected through surveys or standardised tests

  • No manipulation of an independent variable, instead data sets are compared to determine a level of correlation

  • Produces qualitative data which must be statistically analysed for significance

8
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Questionnaire/Survey

  • Not face to face so interviewer effects are avoided

  • Allow participants to remain anonymous

  • Questions may be misinterpreted by participants

  • Data may be qualitative or quantitative, qualitative data must be interpreted through content analysis

9
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Quasi Experiment

  • Although an independent variable may be changed and a dependable variable measured, causality cannot be determined

  • Attempt to control extraneous variables, increasing internal validity

  • Participants are not randomly assigned to conditions that are grouped based on a participant variable

  • Data is statistically analysed and a p-value calculated

10
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Unstructured Interview

  • No set questions only topics with the goal of avoiding leading questions

  • Interview style is highly naturalistic

  • Face to face so may have interviewer effect and social desirability bias

  • Requires more training, can be difficult to keep conversation on track without a script

  • Data must be interpreted through content analysis

11
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