week 3 research design. Flashcards
Why is size important in sampling?
Size is important for generalisability, but it’s not the only factor.
How does sample size affect the reliability of questionnaires?
Size is important for reliability, but it’s not the only factor.
A statement that there is no effect or no difference, which can be rejected with a sufficiently large sample size.
Null Hypothesis
A measure that indicates whether the results observed in a study are likely to be due to chance or if there is a true effect present.
Statistical Significance
What happens when a sample size is too large?
A large sample can result in detecting miniscule differences as statistically significant, which may not have practical importance
A term referring to participants from Western, Educated, Industrialized, Rich, and Democratic societies, often used in psychological studies.
WEIRD Populations
A method of sampling that involves dividing the population into subgroups and sampling from each subgroup to ensure representation.
Stratified Sampling
What does generalisability refer to in research?
Generalisability refers to how well findings from a sample can be applied to a larger target population.
What is a key issue withe overwhelming focus on USA college students in psycholoth gical research?
This focus may limit the understanding of human behaviour due to cultural and contextual differences present in non-WEIRD populations.
What is observational design in research?
Observational design involves the researcher looking at associations between variables without manipulating any variables.
Can you give an example of observational design?
An example of observational design is studying the relationship between relationship breakups and ice cream-from-the-tub consumption.
What characterizes experimental design?
Experimental design is characterized by the manipulation of one or more variables to examine their effects on other variable(s).
Provide an example of experimental design.
An example of experimental design is assigning vignettes about relationship status and then rating self-reported cravings for ice cream.
Within-subjects designs
Within-subjects designs are research designs where all participants experience all conditions, allowing for the elimination of person confounds and requiring fewer participants.
Advantages of within-subjects designs
The advantages of within-subjects designs include the need for fewer participants and the elimination of person confounds.