research methods Flashcards
Alternative Hypothesis
A statement that predicts a difference of correlation in result.
null hypothesis
A statement that predicts no difference of correlation in result.
Repeated measures design
An experiment design where participants take part in each condition
Independent measures design
An experimental design where each participant are different in each condition.
Repeated measures design strengths
Comparing like with like so different and not due to individual differences between participants.
Few participants need to be recruited, saving time and money.
Repeated measures design weaknesses
Participants may perform worse on the second condition due to boredom of fatigue effect.
Participants may perform better on the second condition due to the practice effect
Participants may work up the independent variable and change their behaviour accordingly (defect of demand characteristics).
The Task need to be changed between conditions making it an extraneous variable.
Independent measures design strengths
Not order effect.
The same task can be used in both conditions because participants will not be familiar with it.
Independent measures design weaknesses
Differences between conditions could be due to participant variables.
Potentially more participants need to be recruited as they cannot be used more than once per condition.
Order effect
Factors that impact negatively research find because participants find the same order of conditions in an experiment.
Target population
Entire set of people psychologist want to research on.
Sample
A group selected from a larger population
Representative
An accurate reflection of a larger pop group.
Generalisability
The ability to draw conclusions applied to a logical outside of research.
Different ways to get a sample
Random sample (example selected using chance)
Opportunity sample (example selected by convenience)
Self-selected sample (a sample selected through volunteers)
Random sampling
Where everyone in the target population of an equal chance of being selected.
1) putting names into a hat
2) using random number generator software.