statistical tests Flashcards

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1
Q

difference or association

A
  • data investigating a difference will usually have 2 conditions, a control and an experimental. this is usually a typical experiment
  • or a psychologist may be establishing an association/ relationship between 2 co-variables. this is usually a correlational study
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2
Q

experimental design

A
  • should only consider this when looking for a difference
  • related data refers to when participants in each condition are somehow related: repeated measures or matched pairs
  • unrelated data refers to having 2 separate groups of people in each condition: independent groups
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3
Q

nominal data

A
  • categorical data
  • the data is discrete, it will only appear in one category
  • e.g. if a researcher wanted to know if more students doing psych went to a school or college, the data would be categorised as ‘school’ or ‘college’
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4
Q

ordinal data

A
  • data which is ordered somehow and the intervals between data aren’t equal
  • ranking data where values assigned have no meaning besides stating where one scores in relation to another
  • e.g. someone ranking their preference of local restaurants from 1 to 10. the difference between 1st and 2nd will probably be different to the difference between 8th and 9th
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5
Q

interval data

A
  • data which is ordered somehow
  • the intervals between each value are equal in measurement
  • e.g. time, temperature
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6
Q

acronym for the order of tests

A

simon - sign test
cowell - chi-squared
wants - wilcoxon
more - mann whitney
singers - spearman’s rho
receiving - related t-test
unanimous - unrelated t-test
praise - pearson’s r

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7
Q

parametric and non-parametric tests

A

-parametric tests are preferred as they’re more powerful, but they require certain criteria:
- data should be interval
- data should be drawn from an underlying normal distribution
- should be homogeneity of variance (the variances in the two groups shouldn’t be significantly different)
- the 3 parametric tests required are the related t-test, the unrelated t-test and pearson’s r

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