(Y1) Statistical testing

Cards (9)

  • significance
    the difference/association between two sets of data is greater than what would occur by chance- coincidence or fluke.
    to find out if the difference/association is significant we need to use a statistical test.
  • probability
    probability (p) is a numerical measure of the likelihood that certain events will occur. the accepted level of probability in psychology is 0.05 (a significance level of 5%). this is the level at which the researcher decides to accept the alternative hypothesis or not. if the alternative hypothesis is accepted, there is less than 5% chance that the null hypothesis is true, i.e. a probability of 0.05 that there was no real effect in the population from which the sample was drawn.
  • what is the accepted level of probability in psychology?
    0.05 (a significance level of 5%).
  • calculated value
    the calculated value is compared with a critical value to decide whether the result is significant or not.
  • critical value
    the critical values for a particular test are given in a table of critical values.
  • finding the critical value
    to find the critical value you need to know:
    1. the significance level (usually 0.05 or 5%)
    2. the number of participants in the investigation (the N value) or the degrees of freedom (df).
    3. whether the hypothesis is directional or non-directional.
  • conditions of use for the sign test
    used to analyse the difference in scores between related items, e.g. the same participant is tested twice.
    can be used with nominal data.
  • calculation in the sign test
    • the score for condition B is subtracted from condition A to produce the sign of difference (either a plus or a minus)
    • the total number of pluses and minuses should be calculated.
    • participants who achieved the same score in condition A and condition B should be disregarded, and deducted from the N value.
    • the S value is the total of the less frequent sign.
  • critical value in the sign test
    if S is equal to or less than the critical value, then S is significant and the experimental hypothesis is retained.