Research Methods Flashcards
What’s an independent variable?
A variable a researcher measures.
What’s a dependent variable?
A variable a researcher measures.
What’s operationalisation?
Operationalisation refers to when variables/behaviours are clearly specified to make them precise.
What’s objectivity?
By operationalising the variables there should be no subjective interpretation regarding how to manipulate/measure them.
What’s replicability?
By operationalising the variables it would make it easy to replicate the research.
What’s an extraneous variable?
Any variable other than the IV that could affect the dependent variable/results.
What’s a confounding variable?
A variable that varies with the IV and affects the dependent variable/results.
What are order effects?
When participants complete multiple conditions and so their performance could be affected by them having the chance to practice or become bored or fatigued.
What are participant variables?
When participants’ performances could be affected by their individual differences such as their age, gender, IQ etc.
What are investigator effects?
When participants’ performances could be affected by the characteristics and/or behaviours of the investigators e.g. their gender, age, the quality of the instructions they provide etc.
What are situational variables?
When participants’ performances could be affected by differences in the situation e.g. noise, lighting, temperature etc.
What are task variables?
When participants’ performances could be affected by differences in the nature/difficulty of the tasks they are completing.
What does counterbalancing do?
It equally distributes order effects across conditions.
When is counterbalancing used?
When participants have to complete all conditions.
Why is counterbalancing used?
To control order effects affecting results.
When is random allocation used?
When assigning participants to conditions/groups.
Why is random allocation used?
It removes researcher bias in an attempt to control participant variables.
Why is random allocation used?
To ensure participants have an equal chance of being placed into each condition.
How is randomisation used?
It’s used when ordering the presentation of stimuli.
When is randomisation used?
It helps to remove the risk of predictability.
Why is randomisation used?
By ensuring the order of stimuli is random.
Explain the process of randomisation.
- Print stimuli (shapes)
- Place in a hat and shuffle
- 1st stimuli = 1st to be presented
- 2nd stimuli = 2nd to be presented.
Why is standardisation used?
It’s used when trying to ensure all participants have the same experience.
What does standardisation help to do?
It helps to control situational and task variables as well as investigator effects.
Why is standardisation used?
It keeps everything the same (apart from the IV).
What are the experimental designs?
Independent Groups, Repeated Measures, Matched Pairs.
Independent Groups?
Different participants in each condition.
What variables affect Independent Groups?
❌ participant variables
✅ no order effects.
Repeated measures?
Same participants in each condition.
What variables affect repeated measures?
❌ Order effects
✅ Participant variables.
Matched pairs?
Different participants in each condition but are matched on key variables that could affect the DV.
What variables affect matched pairs?
✅ no order effects
✅ reduces participant variables.
How do you carry out a matched pairs design?
- Give all participants a questionnaire
- Pair those with similar scores
- Place the names of one pair into a hat
- 1st name pulled > Condition A
2nd name pulled > Condition B.
Evaluate a correlations method.
- Allows for research when it would be impractical or unethical to carry out.
- Cannot establish cause and effect.
For correlations, where is data presented?
On a scattergram.
For experiments, where is data presented?
On a bar chart.
What is a directional hypothesis?
Predicts there will be a difference.
What does a non-directional hypothesis predict?
There will be a difference but does not state the direction.
Compare correlations to experiments (correlations first).
Correlations:
- Measures whether there is a relationship
- Does not involve the manipulation of a variable
- Cannot establish cause and effect
- Assesses continuous data
- Data is presented on a scattergram.
Compare correlations to experiments (experiments first).
- Measures whether there is a difference
- Involves manipulating an independent variable
- Can establish cause and effect
- Assesses categorical data
- Data is presented on a bar chart.
Distinguish between an aim and a hypothesis.
An aim is a statement about the purpose of the study and the hypothesis is a precise prediction about the expected outcome of a study.
Explain the difference between directional and non-directional hypotheses.
A Directional hypothesis predicts there will be a difference (for an experiment) or relationship (for a correlation) and states the direction. A Non-directional hypothesis predicts there will be a difference (for an experiment) or relationship (for a correlation) but does not state the direction.
Outline the observational method.
An observation involves a researcher watching and recording the behaviour of participants.
Define behavioural categories.
Behavioural categories refer to the operationalised/specific behaviours (e.g. punching, kicking) that represent the general behaviour being observed (e.g. aggression).
Explain why behavioural categories improve observational research.
- It ensures observers are collecting the relevant data.
- It allows for more objective data recording.
- To increase inter-observer reliability.
- It allows observers to quickly tally observations into pre-arranged groupings.
What are the two sampling techniques?
Event sampling and Time Sampling.
Explain the procedure of a sampling technique.
Observers decide on behavioural categories. These are recorded every time they happen throughout the entire observational period.
Explain the procedure of a Time Sampling technique.
Observers decide on behavioural categories. Recordings of these behavioural categories take place at specific time intervals e.g. every 5 minutes.
How do you work out the procedures for time sampling?
Total observation time (in minutes) / Number of observations made.
What is a strength of event sampling?
A strength of event sampling is that it is likely to result in more data.
What is a strength of time sampling?
A strength of time sampling is that it is more appropriate in busy observations.
What is a limitation of event sampling?
A limitation of event sampling is that it is less appropriate in busy observations.
What is a limitation of time sampling?
A limitation of time sampling is that it is likely to result in less data.
Outline the types of observations.
Naturalistic observation, Controlled observation, Overt observation, Covert observation, Participant observation, Non-participant observation.
Which observations will be conducted in a natural and controlled environment?
Naturalistic and Controlled.
In which observations is the observer clearly visible or not?
Overt and Covert.
In which observations will the observer join the group whilst observing or observe from a distance?
Participant and Non-participant.
What is a naturalistic observation?
Where the observer watches and records the behaviour of participants in a natural environment where it would usually occur.
What is one strength of naturalistic observations?
Participants are more likely to behave naturally.
What is a limitation of naturalistic observations?
There is a lack of control over the environment.
What is a controlled observation?
Where the observer watches and records the behaviour of participants in a highly controlled environment e.g. in an observation room.
What is a limitation of controlled observations?
Participants are less likely to behave naturally.
What is a strength of controlled observations?
There is a high level of control over the environment.