Research methods Flashcards
State the difference between directional and non-directional hypothesis and when it’s used
D = States the direction of the relationship that will be shown between the variables. Used when previous research has been carried out.
ND = Doesn’t. Used when no previous research has been carried out.
Define independent variable
What is manipulated or changed naturally.
Define dependent variable
What is measured and caused by the IV.
Define operationalise
To be precise and clear about what’s being manipulated and measured. This makes the research testable and repeatable. The hypothesis should also show the operationalisation.
Define extraneous variables and state the types
Any other variables that affects the DV. They must be controlled for to prevent them from skewing the results and leading to false conclusions.
- Demand characteristics
- Investigator effects
Define cofounding variables
When extraneous variables aren’t properly controlled for.
Define aim
The purpose of the study.
Define hypothesis
A statement of the relationship between variables been investigated.
Define pilot studies and state its aim
A small-scale version of an investigation which is done before the real one.
They’re carried out to allow potential problems of the study to be identified and the procedure to be modified to deal with these. Also may give an early indication of whether the results will be statistically significant.
Define peer review
The assessment of scientific work by experts in the same field, to ensure it’s credible (high quality) before being published.
Define independent group designs state its S+L and solution
= The participants only perform in one condition of the IV.
STRENGTHS:
- No order effects
- Demand characteristics eliminated.
LIMITATIONS:
- No control over participant variables
Solution: Random allocation
Define repeated measures
state its S+L and solution
= The same participants take part in all conditions of the IV.
STRENGTHS:
- Eliminates participant variables.
- Fewer participants needed so not as time-consuming.
LIMITATIONS:
- Order effects
Solution: Counterbalancing means when half of the participants do conditions in one order and the other half do it in an opposite order.
Define matched pairs
state its S+L
= Pairs of participants are matched on characteristics then experiment is conducted as an independent groups design.
STRENGTHS:
- No order effects
- Demand characteristics less of a problem
LIMITATIONS:
- Time consuming & expensive
- Large group of participants needed.
Define demand characteristics
Any cue the researcher or situation may give which makes the participant feel like they can guess the aim of the investigation.
This can cause them to act differently by:
- In a way they think the researcher wants them to.
- Intentionally underperforming to sabotage the study’s results.
State the difference between experimental/alternative and null hypothesis
experimental/alternative (H1) - a prediction that changing the IV will cause a change in the DV
null (H0) - a prediction that it wont
State the difference between type 1 and type 2 errors
Type 1 (false positive) = when researchers conclude an effect is real (i.e. they reject the null hypothesis), but it’s actually not.
Type 2 - (false negative): When researchers conclude there is no effect (i.e. they accept/fail to reject the null hypothesis), but there actually is a real effect.
State the aim of inferential testing
To see whether a study’s results are statistically significant, i.e. whether any observed effects are as a result of whatever is being studied rather than just random chance.
State when results are statistically significant
If the observed value is less than or equal to the critical/table value. Then reject the null hypothesis and accept alt.
State the criteria for the type of inferential test
- Difference or correlation
- Nominal, ordinal or interval data
- Experimental design is related (repeated measures) or unrelated (independent)
State the difference between primary and secondary data and S+L
primary = original data collected for the study
S - targets exact info needed so aims are fulfilled
L- requires time & effort
secondary = data from another study previously conducted
S - requires minimal effort to collect as data is already accessed
L - may be outdated or incomplete
-
state the difference between qualitative and quantitative data and S+L
qualitative = non-numerical
S - more meaningful insight
L - researcher bias presented as conclusions depend on their interpretation
quantitative = numerical
S - data can be mathematically and objectively analysed
L - less detail
Define laboratory experiment
state it’s S + L
= An experiment conducted in an artificial, controlled environment.
S
- HIGH DEGREE OF CONTROL: IV has been precisely replicated which means any change in outcome must be a result of a change in the variable, leading to greater accuracy.
- EASILY REPLICABLE for experimenters to check results
L
- LOW ECOLOGICAL VALIDITY: Results obtained in an artificial environment might not translate to real-life.
- EXPERIMENTAL BIAS: means that participants can be influenced by demand characteristics by changing their behaviour to their expectations.
Define field experiment and state its S + L
= An experiment conducted in in a natural, real-world environment.
S
- NATURALISTIC: therefore high ecological validity
L
- ETHICAL CONSIDERATIONS: invasion of privacy and so likely to have no informed consent
- LOSS OF CONTROL: over extraneous variables hence precise replication not possible
Define quasi experiment and
state its S + L
= An experiment that compares between two variables that cannot be change i.e. naturally exist. (e.g. gender)
S
- CONTROLLED CONDITIONS: hence replicable, therefore likely to have high internal validity
L
- NO RANDOM ALLOCATION: to conditions so there may be cofounding variables presented. This makes it harder to conclude that the IV caused the DV.