research methods Flashcards
What is an aim?
A statement of what the researcher intends to find out in a research study
What is a hypothesis?
a precise testable statement about the relationship between 2 variables
What is it when we operationalise?
ensuring the variables are measurable
What is an independent variable?
something that is manipulated by the experimenter
What is a dependent variable?
what the IV affects, what is measured by the experimenter
What is an experiment ?
a research method where the IV is deliberately manipulated to observe the effect on the DV
What is a standardised procedure?
a set of procedures that are the same for all participants so the study can be repeated e.g. standardised instructions
What are extraneous variables?
variables that make it difficult to detect a significant effect, they may have an effect upon the DV but are not part of what is being manipulated or measured.
What is a directional hypothesis?
states the direction of the predicted difference between 2 groups.Used when previous research suggests the findings will produce a particular outcome. Also known as a 1-tailed hypothesis (1 of 1 outcomes)
What is a non-directional hypothesis?
predicts there is a difference between 2 conditions but doesn’t state the direction of the difference. Also known as a 2-tailed hypothesis (1 of 2 outcomes)
What is a null hypothesis?
a prediction of what may not happen in the experiment
State the hypothesis rules
-Must contain variables which are operationalised
-A directional hypothesis is used due to previous research demonstrating precise findings
-A non-directional hypothesis will generally contain the words ‘there will be a difference/association’ between 2 variables
If the study describes a relationship it will be correlational and so the hypothesis must include the term ‘relationship/correlation’
A directional hypothesis for a correlational study will include the phrase ‘positive/negative relationship’
What are the strengths and limitations to repeated measure experimental designs? How do we control the limitations?
L - Order effects, e.g. participants may do better on the second task due to practice or worse due to fatigue
Counterbalancing deals with order effects
- AB or BA (divide participants into 2 groups. Group 1 does condition A then B, group 2 does condition B then A)
S- participant variables are controlled, fewer participants are needed so cheaper
What are the strengths and limitations to independent group design? How do we control the limitations?
L- Individual differences, e.g. participants in condition 1 may be naturally better at the task
Individual differences should be controlled by random allocation of participants as variables should be distributed evenly by doing this
L- More participants required than for a repeated measures design to have the same amount of data - more expensive
S- less time consuming than matched pairs design, doesn’t suffer order effects as participants are in separate conditions
What are the strengths and limitations to matched participants design? How do we control the limitations?
L - Time consuming and difficult to match participants on key variables
Restrict the number of variables to match on to make it easier and conduct a pilot study to help identify the key variables worth studying
L - not possible to control all variables
S- tries to match variables so equals fewer order effects, more chance of having more varied participants in each group.
What is mundane realism?
How the study mirrors the real world, is the research relatable to real life experiences
What is a confounding variable?
A variable that changes the DV rather than the IV affecting it so the results may be meaningless
What is an extraneous variable?
‘Extra variable’ that can have an effect upon the DV, muddy the waters making it more difficult to detect a significant effect
Explain the 5 types of validity.
Internal - the degree to which an observed effect was due to experimental manipulation rather than other variables (confounding, extraneous)
External - the degree to which research findings can be generalised
Ecological - the ability to generalise a research effect beyond a particular setting
Population - the extent to which the findings can be generalised to other groups besides those who took part in the study
Historical - the extent to which the findings from one time period can be applied to another
What do experiments involve?
Involve the manipulation of the IV while trying to keep all other variables constant
Allow us to study cause and effect
What are the 4 types of experiments?
Labatory
Field
Natural
Quasi
What is a laboratory experiment? What are the strengths and limitations?
Conducted in a special environment
Carefully controlled variables
Participants aware they are taking part but unlikely to know the aims of the study
Strengths:
Controlled variables = high internal validity
Easy to replicate = reliable results
Limitations:
Low ecological validity - participants know they are being watched
IVs/DVs may not represent real life
Low mundane realism
What is a field experiment? What are the strengths and limitations?
Conducted in a natural environment
Participants not usually aware they are participating - more natural behaviour
Strengths:
More natural, greater mundane realism = higher external validity
Limitations:
IV may lack realism and so they are not likely everyday occurrences
Difficult to control extraneous and confounding variables = lower internal validity
Ethical issues of not knowing you are being studied
What is a natural experiment? What are the strengths and limitations?
A naturally occurring event that couldn’t be researched in a laboratory due to practical and ethical reasons.
The IV therefore varies naturally but the DV may still be tested.
Strengths:
Allows us to research behaviour that would be difficult to achieve in a laboratory setting
Studying effects of real issues = high ecological validity + mundane realism
Limitations:
IV not directly manipulated so can’t establish cause and effect
Internal validity questioned as participants not randomly allocated so there could be confounding variables
