Research Methods (MET) Flashcards
What is the difference between an aim and a hypothesis?
- Aim: general statement of purpose
- e.g., to test a theory / relationship between variables
- Hypothesis: testable prediction …
- …of a difference or correlation between variables
Explain the difference between directional and non- directional hypotheses (2). Identify when each is used
- Directional: direction of difference / correlation specified, e.g., ‘more than’
- When a theory / previous research suggests a specific direction
- Non-directional: just ‘a’ difference predicted, but not which direction
- When there is no previous research or previous research is contradictory
Explain what is involved in an experiment (3) and what is the purpose of doing an experiment (1)?
- Researcher manipulates an independent variable (IV)
- …measures a dependent variable (DV) and …
- …controls extraneous variables
- To establish a causal relationship between variables
Explain what is meant by the term ‘operationalisation’
- Specifying precisely how…
- … the IV is manipulated and
- …how the DV is measured
(or, for correlations, how co-variables are measured)
Identify what is wrong with this hypothesis (1):
‘Memory is better with immediate than delayed recall’
Rewrite it to rectify the flaws
- It is poor as hypotheses should incorporate operationalised variables
- e.g. ‘More words will be correctly recalled if recall occurs immediately after learning than after a (e.g) a 30 second delay.’
- IV identifiable: delay v no delay
- DV identifiable: number of words recalled
- Direction explicit: ‘more’ words
What are standardised instructions (2) and how do they relate to investigator effects (2)?
- Instructions which are read out to participants…
- …telling them exactly what to do
- They partially control investigator effects…
- …as experimenter is not free to say different things to different ppts.
What are extraneous variables? (1) Identify two types of extraneous variables, giving an example of each (2x2)
- Variables which, if not controlled, might affect the DV
- Situational
- e.g. noise, time of day
- Participant
- e.g. age, intelligence
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- Variables which, if not controlled, might affect the DV
- Situational
- e.g. noise, time of day
- Participant
- e.g. age, intelligence
What are confounding variable (CV) and what is the relationship between extraneous and confounding variables (CV)?
- A CV is an EV which has not been controlled…
- … and which has actually affected the DV
- So an EV is a variable which might become a CV
What are demand characteristics and their possible effects?
- Clues revealing the study’s purpose
- Ppts may then display participant reactivity, e.g. try to
- Do what they think is expected (‘please you’) OR
- Do the opposite (‘screw you’)
What are investigator effects?
- Any effect of the investigator’s behaviour on the research outcome
- Any effect of the investigator’s behaviour on the research outcome
Explain the difference between controlled and naturalistic observations
Controlled
- A structured / designed situation
Naturalistic
- In setting in which behaviour would normally occur
Explain the difference between covert and overt observations
Covert
- Watching participants without their knowledge & consent
- Observer is hidden / not visible
Overt
- Watching participants with their knowledge & consent
- Observer is visible / not hidden
Explain the difference between participant and non- participant observations
Participant
- Researcher becomes part of the group and interacts with the participants
Non-participant
- Researcher stays separate from the participants
Explain the key opposing strength and limitation of naturalistic observations and controlled observations
Naturalistic
- Higher ecological validity
- i.e. can generalise findings to the real world …
- …but less control
Controlled
- More control over the situation…
… e.g., the set- up
…but lower ecological validity
Explain the key opposing strength and limitation of covert and overt observations
Covert
- Removes ppt reactivity…
- …all behaviour is natural, increasing validity…
- …but is less ethical as pps do not give consent
Overt
- More ethical as pps give informed consent…
- …but increases ppt reactivity as they are aware of being observed
Explain the key opposing strength and limitation of participant and non- participant observations
Participant
- Researcher experiences situation as participant does, increasing insight and validity…
- …but may get too immersed in it and lose objectivity
Non participant
- Allows researcher to stay objective…
- …but lacks immersion in the situation
Explain the three key features of an experiment
- Researcher manipulates an independent variable (IV) (or it changes / differs somehow)
- Researcher measures effect of this on dependent variable (DV)
- Control over extraneous variables
Explain how both field and natural experiments differ from a laboratory experiment (2) and how field experiments differ from natural experiments
- Field and natural experiments are carried out in the real world …
- …rather than in a controlled setting.
- Field experiments involve manipulation of an IV…
- …while in natural experiments they are due to events
Explain how natural experiments differ from quasi- experiments
- Natural: IV varies due to an event
- Quasi: IV varies because of a group difference
Explain why quasi- experiments are unusual compared to the other types of experiment (
- No change in an IV: pre- existing difference
- No specified location: can take place anywhere
(Seems to include studies that are not really experiments)
Compare lab, field and natural experiments in terms of ability to control extraneous variables (2) Justify your sequencing
- Lab > field > natural
- Due to decreasing control over events during the experiment
- Can control variables in lab
- Some control, but too much going on and many unexpected events in field
- No control at all in natural
Compare lab, field and natural experiments in terms of likelihood of demand characteristics (2) Justify your sequencing
- Lab > field and natural
- Due to pps knowing they are in an experiment
- Lab: always know they are in experiment
- Field: usually don’t know, but may suspect or situation may be unusual
- Natural: don’t know, and nothing manipulated so likely to feel normal
Compare lab, field and natural experiments in terms of ecological validity (2) Justify your sequencing
- Natural > field > lab
- Due to greater generalisability to real- life situations
- Natural is real- life
- Field is where behaviour usually occurs
- Lab is artificial situation
Compare lab, field and natural experiments in terms of population validity
- Depends
- Lab can actively recruit representative samples…
- …but rarely do…
- and even then but pps have to volunteer
- Field and natural can measure behaviour in pps who would not normally volunteer to take part in lab studies