Research methods Flashcards
Content analysis
analysis of secondary data and qualitative data (non-numerical data) and to transform it into quantitative data (numerical data).
Thematic Analysis
a method for identifing, analysing and reporting patterns (themes) within data.
Reliability
How consistent is the data? Can it. produce the same results on different occasions?
Inter-observer reliability
When another observer repeats the test and shares the data with yours to see if you have high agreement |1| or low |0| (kappa score)
Test-retest reliability
Giving the same PPs the same test at different times. and assessing the results similarity. including behaviour categories help improve the score.
Standardisation reliability
To ensure that each procedure is robust and repeated consistently across trials. improves your reliability.
Validity
How accurate is you data? Are you measuring what intended?
Ecological validity
The ability to generalise the research results to different environments and achieve the same results.
Temporal validity
The ability to generalise the research to different time periods and achieve the same results.
Population validity
Can the research be generalised to different samples of participants.
Concurrent validity
To compare your research results to other similar results in the field and assessing if they are similar.
Face validity
To what extent the test measures what it claims to measure.
Alternative hypothesis
A statement about the relationship/difference between to variables.
Null hypothesis
The assumption there is no relationship/difference
Type 1 error
False positive. Ive rejected the null when I should have accepted it. believe there is a positive affect when there isn’t one.
Type 2 error
you fail to reject the null (you accept it) and believe there isn’t a negative affect when there is one.
Directional
My hypothesis directly predicts the direction of the results
Non-directional
My hypothesis states there is a difference but doesn’t state which way.
One tailed
Using a directional hypothesis
Two tailed
Using a non-directional hypothesis
IV
What you’re manipulating (what changes)
DV
What you’re measuring.
Confounding variable
A variable which can change the DV but can’t always be controlled (mood) but can cause confusion in the results (time of day)
Extraneous variable
Aspects which you try and control - time of day, lights, temperature of the room.
Opportunity sampling
Use the PPs that are most convenient or most available.
Random sampling
names/numbers out of a hat