Statistical testing: The sign test Flashcards
Significance
The difference/association between two sets of data is greater than what would occur by chance i.e. it is a meaningful result.
To find out if the difference/association is significant we need to use a statistical test.
Probability
Probability (p) is about likelihood - how likely it is that a certain event will happen if the null hypothesis were true. The accepted level of probability in psychology is 0.05 (a significance level of 5%). This is the level in which a researcher decides to accept or reject the null hypothesis. (more stringent 1% significance level may be used e.g. testing drugs).
Even though psychologists may find statistically significant differences/relationship within data, they can never find statistical certainties. This is why psychologists use phrases such as this suggests, rather than this proves.
Calculated and critical values
The researcher uses a statistical test to produce a calculated value.
The calculated value is compared with a critical value to decide whether the result is significant or not.
The critical values for a particular test are given in a table of critical values.
Finding the critical value
To find the critical value, 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 (one-tailed test) or non-directional (two-tailed test).
What does the sign test include?
- Conditions of use
- Calculation
- Critical value
Conditions of use
Used to analyse the difference in scores between related items e.g. the same participant is tested twice (repeated measures).
Can be used with nominal data (or better).
Calculation
1) The score for condition B is subtracted from condition A to produce the sign of difference (either a plus or a minus).
2) Add up the numbers of pluses and the number of minuses.
3) Participants who achieved the same score in condition A and condition B should be disregarded, and deducted from the N value.
4) The S value is the total of the less frequent sign.
Critical value
If S is equal to or less than the critical value, then S is significant and the null hypothesis is rejected and the alternative hypothesis accepted at the 5% level of certainty.