4.2.3. - Research Methods Flashcards
Define lab experiment?
Experiment taking place in controlled environment, within which researcher manipulates IV and records effects on DV
Participants go to researcher
Name 2 benefits of lab experiments
- EVs and CVs can be controlled (high internal validity)
- Repeatable (standardised) (enhances validity)
Name 2 problems with lab experiments
- May lack generalisability (low external validity due to low mundane realism)
- Demand characteristics (less natural, more cues)
Define generalisation?
Extent to which findings can be broadly applied to population
Define mundane realism?
Extent to which experiment mirrors the real world
Define field experiment?
Experiment that takes place in natural, everyday setting, within which researcher manipulated IV to measure DV
Researcher goes to participants
Name 2 benefits of field experiment?
- Natural environment means high external validity (higher mundane realism)
- Less demand characteristics (unaware of being studied)
Name 2 problems with field experiments?
- Harder to control EVs and CVs (lower internal validity)
- Ethical issue of no informed consent if not aware of study
Define natural experiment?
Experiment where the IV has been manipulated but not by the researcher and the DV is naturally occurring or measured
Name 2 benefits of natural experiment?
- May be only ethical option for that research (would be unethical to manipulate IV in that way)
- High external validity (real life issues)
Name 2 problems with natural experiments?
- Situation may arise rarely (can limit comparisons to similar experiments, therefore lack generalisability)
- Participants not randomly allocated (can have differences in groups)
Define quasi experiment?
Study (not technically experiment) where IV ‘exists’ and is not manipulated by anyone, DV may be naturally occurring or measured
Why is a quasi experiment not technically an experiment?
No manipulation of IV
Name 3 benefits of quasi experiments?
(Share with lab experiments because often under controlled conditions)
- EVs and CVs controlled (high internal validity)
- Repeatable
- Comparisons can be made between different typed of people
Name 2 problems with quasi experiments?
- Participants not randomly allocated (can be differences in groups)
- Causal relationships not demonstrated (no IV manipulation so no certainty IV is reason for DV change)
Define general population?
Everyone in an area
Define population/ target population?
Group of people who are the focus of the researcher’s interest
Define sample?
Smaller group of people drawn from target population for the investigation.
Thought to be representative of target population.
Define bias (in context of sampling)?
When certain groups are under/ over represented in sample
Name the 5 sampling techniques?
- Random sample
- Systematic sample
- Stratified sample
- Opportunity sample
- Volunteer sample
Define random sample?
All members of a target population have equal chance of being selected
How is a random sample made?
1) Complete named list of target population
2) Use lottery method to randomly draw members of population
Name a benefit of random sample?
No researcher bias
Name a problem with random sample?
Not guaranteed to be representative (hard to generalise)
Define systematic sample?
Participants selected using set ‘pattern’
How is systematic sample made?
1) Sampling frame produced (organised list of target population)
2) Every nth person selected
Benefit of systematic sample?
Fairly representative and unbiased
Problem with systematic sample?
Takes time and effort (using complete target population list)