Research methods Flashcards
(42 cards)
Dependent variable
measured by the researcher
Independent variable
Deliberately manipulated by the researcher
Qualitative data
words and non-numerical data.
Advantage of qualitative
Rich in detail - participants views are represented in full. research topic explored in depth.
Disadvantage of qualitative
Difficult to analyse. Cannot be put into graphs/charts, difficult to draw conclusions.
Quantitative data
Numerical- can be categorised and ranked. How much/how long/how many.
Advantage of quantitative
Easy to analyse. Put into graphs/charts. Easy to draw conclusions and comparisons.
Disadvantage of quantitative
Lacks detail. Limited in response. Cannot be explored in depth.
Extraneous variables
Any variable other than the IV that my affect the DV if not controlled.
These are categorised into PIED.
Participant variables
Any characteristics of the participant that may affect the study.
E.g. mood, gender, personality, sexuality, age, experience, personal issues, mental health etc.
Investigator effects
Any cues from the investigator that encourage certain behaviours. This may allow researchers expectations to influence the results.
E.g. tone of voice/body language, what they say (encourage to score high/low), facial expressions, instructions.
Environmental variables
Any aspect of the environment/situation (other than the IV) that could unfairly influence the results.
E.g. temperature, lighting, noise level, time of day, amount of people, distractions etc.
Demand Characteristics
Any cues that reveal the aim of the study and then allow participant to change their behaviour.
- try to please the researcher to give the desired results.
- ruin the experiment, ‘screw you’ effect.
- More self conscious if they know they are being tested.
E.g. how instructions are given, socially sensitive research (mother and child), social desirability.
What are the advantages of a lab experiment?
High control over variables and easy to replicate
Lab experiments advantages - high control over variables
This means that research is conducted in the controlled setting of a lab which allows EVs to be controlled.
For example, the lighting, temp and noise levels can all be standardised.
This is a strength as the research will measure what it is intended to measure. HIGH INTERNAL VALIDITY.
Lab experiments advantages - easy to replicate.
This means that, as the research conditions are carefully controlled it can be done time and time again with the same variables.
This is positive as the findings can be tested for reliability (consistency)
Lab experiments disadvantages - high demand characteristics.
Standardised setting, this means that the participants are aware they are taking part in research which may make them change their behaviour.
E.g. participants may work out the aim of the study.
This is a problem as it isn’t measuring true behaviour lowers the ecological validity.
Lab experiments disadvantages - Low ecological validity
This means that the research takes place in an artificial setting so may not reflect participants natural behaviour. E.g may behave differently to how they would on the street/ home/ work.
Problem as findings cannot be generalised.
Field experiments advantages - high ecological validity
Takes place in a real-life setting so it should reflect natural behaviour. E.g. they are studied where the behaviour being measured usually occurs so they shouldn’t act unnaturally. This is positive because the findings can be generalised to other real-life settings.
Field experiments advantages - low demand characteristics
Because the research doesn’t take place in the lab, the participants are usually unaware that research is taking place. E.g. participants will not be able to work out the aim of the study and behave differently. Positive as the study is measuring their true behaviour which INCREASES INTERNAL VALIDITY.
Field experiments disadvantages - Low degree of control over variables
research is conducted outside the controlled setting of a lab which makes EVs hard to control. E.g. lighting, temp and noise levels cannot be standardised and may vary between conditions. This is a weakness because the research will not be able to only measure what it intends to so it has low internal validity.
Field experiments disadvantages - difficult to replicate
This means that the conditions used for one study will be very difficult to repeat in exactly the same way in future replications.E.g. the noise levels, lighting and temp may vary a lot every time each time it is repeated. this is a problem as it means the finding cannot be very easily tested for reliability (consistency)
Standardisation
controls every aspect, environment is =, procedure is =, instructions =
Randomisation
By chance, eliminates researcher bias. Random name generator