1) what the researchers intend to find out
2) precise/ testable statement on the relationship between the data and what is being measured
3) will have a significant positive or negative relationship between variable 1 and 2
4) there will be a significant positive or negative relationship between variable 1 and 2 + iv affect on dv
5) looks at the -difference- in condition or relationship between variables
6) there is no effect and no observed differences + no significant relationship between variable 1 and 2
7) not investigated but can change the outcome
8) minimised bias by seeing how well the study establishes a relationship between the variables (cause and affect only IV)
9) how much the study can be generalised beyond lab
10) operationalise each variable e.g. explain how the covariable is measures + say is positive or negitive affect of…
1) sample
2) target population
3) population
4) representative
5) generalisable meaning
1) the class
2) all students in the school
3) all young people in Britain
4) if everyone in the population is represented
5) if it can be applied to real life scenarios
Factors that affect choice of sample
1) Size of target population
-if the population itself is small- a few applicable people
-if the population itself is small- hard to find applicable people
2) Method used (case study, questionnaire)
-small sample size because very detailed about participants
-large sample size because easy to reproduce on a large scale
3) Time/ practical/ financial constraints + large affect on results
- each method of sampling different costs
- sample size of 30
Research Methods used
1) self reports
2) observations
3) experiments
4) correlation
1)
Interviews- rating scale (1-10), structured/ unstructured/ semi- structured
Questionnaires- open/ closed questions (any answer or yes/no), likert scale (e.g. strongly agree)
2)
- covert (unaware) observations, overt (aware) observations, participant/ non-participant observations, coding frame (themes in data), behavioural categories
3)
- standardised (same), controlled, i/d/e/c variable, experimental methods (field, lab, quasi)
4)
- variable 1 vs variable 2
- obtaining data for correlation analysis
1)
Interviews- rating scale (1-10), structured/ unstructured/ semi- structured
Questionnaires- open/ closed questions (any answer or yes/no), likert scale (e.g. strongly agree)
2)
- covert (unaware) observations, overt (aware) observations, participant/ non-participant observations, coding frame (themes in data), behavioural categories
3)
- standardised (same), controlled, i/d/e/c variable, experimental methods (field, lab, quasi)
4)
- variable 1 vs variable 2
- obtaining data for correlation analysis
ated measure design
1) definition
2) strengths
3) weaknesses
4) how to deal with 1)
Interviews- rating scale (1-10), structured/ unstructured/ semi- structured
Questionnaires- open/ closed questions (any answer or yes/no), likert scale (e.g. strongly agree)
2)
- covert (unaware) observations, overt (aware) observations, participant/ non-participant observations, coding frame (themes in data), behavioural categories
3)
- standardised (same), controlled, i/d/e/c variable, experimental methods (field, lab, quasi)
4)
- variable 1 vs variable 2
- obtaining data for correlation analysis
1) where participants take part in all conditions
2) good control over participant variables, few participants needed
3) order effects, condition A may be easier than condition B
4) counterbalancing
Matched pair design
1) definition
2) strengths
3) weaknesses
4) how to deal with weaknesses
1) different participants in each condition and matched on an important variable then placed in two separate groups (e.g. IQ)
2) control over the participant variables, no order effects
3) lots of participants needed, time consuming
4) restrict the number of variables being tested
Independent group design
1) definition
2) strengths
3) weaknesses
4) how to deal with the limitations
1) each group with different conditions
2) no order effects, less time consuming
3) no control over the extraneous variables, large sample size needed
4) randomise the groups
Lab experiment
1) aims
2) setting
3)strengths
4)weaknesses
1) control the independent variable to see the effect on the dependent variables
2) artificial setting- lab
3) controlled environment (other variables little effect), reliable (lab experiment so good control)
4) low ecological validity (in a lab meaning they aware so not generalisable), demand characteristics (acting like what they think is right or what they think the researcher wants)
Field experiments
1) aim
2) setting
3) strengths
4) weaknesses
1) measure behaviour in a natural environment e.g. school, streets
2) conducted outside the lab
3) high ecological validity (as it is outside a lab, this means they are unaware so the data is generalisable to real life), no demonad characteristics (acting how they think is right or how they think the researcher wants them to act)
4) not a controlled envirnment (cannot look at the affect of chaning the Independent vairable on the dependent variables)
Quasi experiment
1) aim
2) setting
3) strengths
4) weaknesses
1) having different conditions of the already existing Independent variable’s effect on the Dependent variable
2) outside the lab
3) easy to gain consent, don’t have to manipulate the Independent variable so it is very ethnical
4) difficult to set up, Independent variable cannot be manipulated
Random sampling
1) definition
2) strengths
3) weaknesses
1) every member of the target population had an equal chance of being selected
2) very representative as everyone has an equal chance of selection, easy to collect participants compared to other methods
3) not as representative as ought to be ( especially with small samples), cannot force participants to take part even if it is random
Opportunity sampling (convenience sampling’)
1) definition
2) strengths
3) weaknesses
1) selects participants easily available from target population
2) participants unaware (covert) so more valid, easier to obtain than other methods
3) all participants have something in common (time + place), risk of small sample size
Snowball sampling
1) definition
2) strengths
3) weaknesses
1) one suitable memener from target population who has aready been studies, recuits other suitable participants from the target population
2) easier to collect in some circumstances, not time consuming
3) participants have something in common (family + friends), participants are aware of the experiment
Self-selected sampling (volunteer sampling)
1) definition
2) strengths
3) weaknesses
1) when people choose to be involved
2) only way of obtaining the sample in some circumstances, easier to obtain than other methods
3) something in common (time + place), want to be involved so likely have some previous knowledge about psychology
Ethics is a balance between
BPS guide
-some experiment would have been highly beneficial to psychological research but it is morally wrong e.g. forbidden experiments
-now use naturally occurring phenomenon
Ethical guidelines have to follow
Respect
Informed consent
- under 18 means consent from an adult
- vulnerable adult means consent from a responsible adult
- informed what will be done + informed consent if they can release or keep the data after the experiment
- can withdraw themselves + data from experiment at any given moment
Withdrawal
- if difficulty remove participant from the exper
Competence
Responsibility
Risk of harm
- should be no more than every day life for the participants
- no physical + psychological harm
- left unchanged from how entered
Informed
- if deceived told the aim, withdrawal, results
Confidentiality
When can be broken?
Integrity
Only use if?
Deception
- should avoid
- demand characteristics
Social sensitivity
1) definition
2) advantages
3) disadvantages
1) topics being researched are likely to evoke strong emotional responses from participants which could have potential consequences
2) insight for personal experiences, make new policies
3) controversial, ethical issues raised
Self report
Questionnaires
- respondents record their own answers but the questions are predetermined
Closed questions