part 1 Flashcards
experimental methods, observational techniques, self-report techniques, correlations, content analysis, case studies (86 cards)
define validity
Validity focuses on accuracy and accurately measuring the aim of the study. Additionally whether it can be generalised to the wider population outside of the research setting ==> two types: external and internal validity
Explain internal and external validity
internal validity:
measures whether the results are due to the manipulation of the independent variable and not cofounding variables
external validity:
measures whether the results can be generalised outside of the research
1. ecological validity: other settings
2. population validity: other people
3. temporal validity: can be generalised over time
how can internal validity be improved?
reducing investigator effects and demand characteristics
how can external validity be improved?
setting the research or experiments in naturalistic environments ==> these have less control and so are more representative
what is reliability?
focuses on the consistency of a study in a way that if a study is completed in the exact same way and gets the same results, it is reliable
==> two types internal and external
what is internal and external validity?
internal: the extent something is consistent with itself
external: the extent a test measure is consistent over time
what is inter-observer reliability and what is its purpose?
two or more observers complete independent observations on the same study, if their results are similar then they are reliable
==> the purpose is designed to stop observer bias
what is concurrent validity?
assesses validity through correlation, correlating scores from research already existing and known to be valid
what is an aim?
a general statement about what the researcher intends to study which generates a theory that they want to test
what is a hypothesis?
a specific testable statement that references the operationalised variables being investigated
==> precise and has no ambiguity
what needs to be included in the hypothesis?
reference to the IV and the DV which have been operationalised - giving specifics on how each variable is being manipulated or measured
what is a directional / one-tailed hypothesis? + what is it an example of
predicts which direction the results will go in
==> example of an experimental hypothesis
why would a directional / one tailed hypothesis be used?
when there are research findings from previous studies therefore they show what past findings have been, and so what a researcher might expect to happen
what type of language would be included in a directional / one-tailed hypothesis?
comparison language that favours one side of the hypothesis
==> for example; faster/slower, increase/decrease, larger/smaller.
what is a non-directional / two-tailed hypothesis? + what is it an example of?
Doesn’t predict which direction the results may go, instead just states one variable that will affect another.
==> am example of an experimental hypothesis
why would a non-directional / two-tailed hypothesis be used?
there is no previous research to suggest what the results may be or when there is contradictory findings from previous research
what is a null hypothesis?
the hypothesis states that there is no relationship between the IV and the DV and so there will be no difference or correlation
==> if there is a relationship it is merely due to chance and not because of purposeful experimentation of the IV
what is an independent variable?
The factor which is changed / manipulated by the researcher in order to see the effect it has on the dependant variable
what is the dependant variable?
the factor which is being measured in the study by the researcher
what does it mean to operationalise the variables?
process of clearly defining variables so they become measurable factors
what is the benefit of operationalising variables?
being clearly defined allows for manipulation of the IV and also means the DV can be precisely measured as the hypothesis clearly states what they are testing
what if variables aren’t operationalised properly?
can make the results unreliable as the research will not be able to replicated and so also effects the validity of the research
what are extraneous variables?
difference factors that could affect the DV and only the DV.
==> essentially nuisance variables and so are usually controlled so they have the same effect across all conditions. This stops them effecting the outcome of the research in an unbalanced way
==> does not vary systematically with the IV
give examples of extraneous variables
participant variables such as intelligence as well as situational variables such as temperature and noise