research methods Flashcards
lab experiment /true experiment
- In a “lab”
- Random allocation to condition (not random sampling, but close)
- Manipulate the IV
- Standardized - easy to replicate
- High internal validity
- Extraneous variables controlled
- Low ecological validity (artificial)
field experiment:
- Out in the field
- High ecological validity
- Lack of control - lower internal validity
- Manipulation of IV
- Participants allocated to different conditions, but often difficult to attain a random allocation
quasi experiment:
- Do not include random assignment to experimental conditions
- Participants are group based on pre-existing characteristics
natural experiment
- Involve pre-existing IV that are manipulated naturally, not by the researcher
○ Before and after Tv was introduced to regular Canada, before and after smoking ban in bars in Norway
○ Or between groups, schools which changed their starting time vs. Those who did not.
repeated measures (1 strength, 1 limitation)
- One sample receives each condition of an experiment
- STRENGTH: Participant variables are controlled, fewer participants - LIMITATION: order effects (practice effect), can be fixed by counter balancing, demand characteristics, confounding variable
independent samples
- The sample is randomly allocated to one condition:
- Half of the participants in one room (quiet)
- The other group in a room with music
- STRENGTH: order effects are controlled, less likely with demand charachteristics, same material for both groups
- LIMITATION: participant variability more likely, more participants
matched pair designs
- Participants are not randomly allocated to conditions. Instead, they are usually pre-tested with regard to the variable
- Pre-test to match participants on their level of memory skills, divide them and then do the experiment.
- STRENGTH: full range of abilities, lessen chances of participant variability
- LIMITATION: difficult to find appropriate matches,
Research designs: (3 types)
repeated measures
independent sample design
matched pairs designs
The IV is:
controlled by the researcher, independent variable
The DV is:
the dependent variable, something uncontrollable (like reactions)
to Operationalise
provides a clear and objective definition of variables
sampling techniques:
ways to gather participants for an experiment (Ex: snowball sampling)
Opportunity sampling
Participants are selected based on naturally occurring groups.
random sampling
Methods of selecting participants for a study where each member of the population has an equal chance of being selected. This can be done with a random number generator or by pulling names out of a hat.
self- selected sampling
Participants volunteer - usually in response to an advertisement in the local community or over the Internet.