Reseach Methods Year 2 Flashcards
How to carry out sign test
Find difference between sets of data
Record if the difference is positive or negative
Add up number of + and -
Smallest out of these is observed number
Observed number can also be called calculated number or s
Determine whether test is 1 or 2 tailed
One tailed if there is a directional hypothesis
Find the level of significance that corresponds to 1 or 2 tailed test using N (number of ppts, excluding where there is no difference)
s must be equal to or less than critical value in order to accept hypothesis
Assumptions of chi squared test
A test of difference or association
The data is nominal and recorded as a frequency
Independent groups design
Unrelated
How to tell if the results of the chi squared test are significant
If there is a big difference between the expected and observed frequencies it is more likely the results will be significant
They won’t match what would happen if the null hypothesis was true
What do the expected frequencies tell you in the chi squared test compared to observed frequencies
Expected frequencies tell you what the outcome would be if the null hypothesis was true
They indicates that there would be no difference between groups
The observed frequencies are the actual results
Carry out the chi squared test using this example:
Null hypothesis: there’s no association between finding reality TV entertaining and being male or female
Example has observed value (X^2) of 8.62
Must use critical value table to see significance
Work out degrees of freedom = (No. of rows -1)x(No. of columns-1)
E.g. df=(2-1)x(2-1)=1
For chi squared test result to be significant, X^2 needs to be greater or equal to critical value
Results are significant as critical value at p = 0.05 which is less than 8.62
Null hypothesis is rejected
Assumptions of Mann-Whitney test
Test of difference
Independent groups
Ordinal data - scores
Assumptions of Wilcoxon test
Test of difference
Related data
Experimental design can be repeated measures of matched pairs
Ordinal data
When to use pearson’s R test
Both variables must be interval or ratio and be normally distributed
The correlation of the two variables must fall between -1 and +1
The closer r is to -1 or +1, the stronger the relationship
Degrees of Freedom - N-2
When to use Spearman’s Rho test
Two sets of values at an ordinal level
Looking for a relationship in correlation
When to use related T test
Repeated measures design or matched pairs
Test of difference
Interval or ratio data
When to use unrelated T test
Independent groups
Interval data is needed
Test of difference
Assumptions of sign test
Test of difference not an association
Repeated measures design
Nominal data (categories)
What is the null hypothesis
This is the hypothesis that you test
States there is no significant statistical difference between the results you obtained and the expected data
If it is established that changing the independent variable created results that had a difference that was statistically significant in their difference then the null hypothesis is rejected
What is peer review
This involves all aspects of the psychological research being scrutinised by a small group of two or three experts in a particular field
Peers should be objective and unknown to the researcher(s)
Aims of peer review
To allocate research funding
To validate the quality and relevance of research
To suggest amendments or improvements
Government run funding organisations- medical research council
Quality and accuracy – the formulation of the hypotheses, methodology chosen, statistical tests