A2 Lessons 07 - 12 Flashcards
Reporting psychological investigations
Write in the third person
Make it as clear as possible
Have a title, abstract, introduction leading to aims/hypothesis, method section (design, sample, apparatus, procedure), results section, discussion section, reference section
Abstract
Provides a clear and concise summary of the entire investigation so the reader can gain an overview.
Information provided: background research, aims, experimental and null hypotheses, research methods, experimental design, sample used, brief account of findings including tests, conclusions, limitations
Referencing
Authors surname, first name, date of publication, title etc.
Type I error
Accepting the experimental hypothesis when the null hypothesis is right (it was actually due to chance)
Type II error
Accepting the null hypothesis even though the experimental hypothesis was correct (real difference in data is overlooked)
Non parametric tests
Parametric tests
Chi squared, Spearman’s Rho, Mann Whitney, Wilcoxon
Pearson’s r, Related t-test, Unrelated t-test
Parametric tests vs non-parametric tests
Parametric tests are more robust and powerful.
Three factors that mean a parametric test can be conducted:
- Interval level of measurement
- Normal distribution
- Similar variance of data
Mneumonic
(Learn table)
Carrots Should Come
Mashed With Swede
Under Roast Potatoes
How to decide which test to use
3 questions
1) Does the research involve a correlation, test of difference or association?
2) Which research design is being used?
3) Which level of measurement is being used?
Spearman’s Rho
Used when testing a relationship or correlation
Ordinal
Related pairs
Non-parametric
Mann Whitney
Used when looking for a test of difference
Independent group design
Ordinal or interval
Non-parametric
Chi squared
Used either for a test of difference or association
Independent measures design
Nominal data
Non-parametric
Wilcoxon
Used to measure a test of difference
Repeated measures design or matched participants design
Ordinal
Non-parametric
Related t-test
Used to test a difference
Repeated measures
Interval
Parametric test
Unrelated t-test
Used for a test of difference
Independent group design
Interval
Parametric test