A2 AQA Research Methods Quiz

I used AQA maarkschemes, Psychology A2-The complete companion student book and http://www.simplypsychology.org/science-psychology.html

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1. When should a Chi-squared be used?

  • It's an independent groups design, at least ordinal data is collected and a test of difference
  • It finds nominal data, its a test of difference and the categories are independent from one another
  • Its finding a correlation/relationship between 2 variables and its collecting at least ordinal data
  • It's a matched-pairs or repeated measures design, at least ordinal data has been collected and its a test of difference
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2. What is objectivity?

  • When all sources of bias are reduced and/or eliminated
  • Findings of a study can be replicated by other researchers at a different time

3. What is construct validity

  • Taking another measuring instrument and measuring the same participants and comparing the 2 sets of scores/results and if they agree the measure has high validity
  • Seeing how closely the measuring instrument relates to theoretical constructs
  • Ask an expert(s) in the field to assess the measuring instrument to see if they are an accurate measure of the subject

4. When should Wilcoxon test be used?

  • Its finding a correlation/relationship between 2 variables and its collecting at least ordinal data
  • It's a matched-pairs or repeated measures design, at least ordinal data has been collected and its a test of difference
  • It finds nominal data, its a test of difference and the categories are independent from one another
  • It's an independent groups design, at least ordinal data is collected and a test of difference

5. What is a type 2 error?

  • Where the researcher accepts the null hypothesis (or rejects the research/alternative hypothesis) when in fact the effect isn't due to chance as the level of significance is too stringent
  • Where the researcher rejects the null hypothesis (or accepts the research/alternative hypothesis) when in fact the effect isn't due to chance as the level of significance is too stringent
  • Where the researcher rejects the null hypothesis (or accepts the research/alternative hypothesis) when in fact the effect is due to chance as the level of significance isn't stringent enough
  • Where the researcher accepts the null hypothesis (or rejects the research/alternative hypothesis) when in fact the effect is due to chance as the level of significance isn't stringent enough
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