Back to quiz

6. What is concurrent validity?

  • Seeing how closely the measuring instrument relates to theoretical constructs
  • 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
  • Ask an expert(s) in the field to assess the measuring instrument to see if they are an accurate measure of the subject
  • 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

7. What is repeatability?

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

8. When should a Chi-squared be used?

  • 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
  • It's a matched-pairs or repeated measures design, at least ordinal data has been collected and its a test of difference
  • Its finding a correlation/relationship between 2 variables and its collecting at least ordinal data

9. What is empirical evidence?

  • Data being collected through direct observation or experiment and it doesn't rely on argument or belief
  • Idea that only source of knowledge comes from experience

10. What is type 1 error?

  • 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
  • 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 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

11. When should Wilcoxon test be used?

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

12. A directional hypothesis is also known as a..........

  • One-tailed hypothesis
  • Operationalised hypothesis
  • Null hypothesis
  • Two-tailed hypothesis

13. 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

14. What is a type 2 error?

  • 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 isn't due to chance as the level of significance is too stringent
  • 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

15. Why would a directional hypothesis be used instead of a non-directional?

  • Findings of previous research pointed in a particular direction
  • Its easier to write a directional
  • There's no previous research on this subject

16. 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

17. When should a Mann-Whitney test be used?

  • 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 an independent groups design, at least ordinal data is collected and a test of difference
  • It's a matched-pairs or repeated measures design, at least ordinal data has been collected and its a test of difference