Research methods and key terms test Flashcards
Target population
the group you want to study
sampling
selecting a representative group from the population under study
sample
group of people who take part in the investigation
generalisability
how much we can apply the findings of the research to the target population we are interested in.
non directional hypotheses (two tailed)
there is a difference but we don’t say which way.
directional hypothesis (one tailed)
states the direction in which the results are to go.
random sampling
members of a population have an equal chance of being selected
systematic sampling
participants are selected by taking every nth person from a list
stratified sampling
a Mini reproduction of the population using ratios and randomly selected from strata’s
opportunity sampling
anyone who happens to fulfil criteria of sample at a random time and place
self selected sampling
volunteers
operationalisation
making variables physically measurable/testable
null hypothesis
there is ‘no difference’. The hypothesis states that the IV has no effect on the DV.
situational variables
these extraneous variables are related to the testing situation. e.g. noise, lighting, temp in the environment. They tend to affect the participants.
participant variables
these extraneous variables are related to individual characteristics of each participant that may impact how they respond. e.g. background differences, prior knowledge, health status, mood, anxiety, intelligence etc.
randomization- allocation
using chance to decide the order in which participants experience the experimental or control condition when a repeated measures design is used. (happens after sampling)
order effects
weakness of the repeated measures design. Refers to how the positioning of tasks influences outcome. e.g. practice, fatigue, boredom effect on second task. Balanced across conditions through counterbalancing.
how do you do counterbalancing?
used with repeated measure design and split participants into 2 groups. group 1 completes IV A then IV B. group 2 complete IV B then IV A.
why do you do counterbalancing?
to balance/distribute the order effects across both conditions
how do you match participants in a matched pairs design?
pick an important variable, pre-test participants, rank them. pair top two participants and the ones with 3rd and 4th highest score. then allocate one participant from each pair to each IV group.
why do you do a matched pairs design?
it reduces individual differences/extraneous variables in the form of participant variables
objective
no bias is possible
subjective
bias is possible
validity
how true the results are