research methods Flashcards
independent variable?
the factor under investigation in an experiment which is manipulated to create two or more conditions (levels) and is expected to be responsible for changes in the dependent variable.
dependent variable
the factor in an experiment which is measured and is expected to change under the influence of the independent variable.
extraneous variable (pp q on this)
a variable which either acts randomly, affecting the DV in all levels of the IV or systematically,
i.e. on one level of the IV (called a confounding variable) so can obscure the effect of the IV, making the results difficult to interpret.
(like the weather or train delays in pilliavin)
experimental condition
one or more of the situations in an experiment which represent different levels of the IV and are compared (or compared to a control condition).
control condition
a level of the IV in an experiment from which the IV is absent. It is compared to one or more experimental conditions.
- For example, in a comparison of the effect of eating chocolate on paying attention, we might compare either the effect of eating one bar or two bars (two experimental conditions)
- or the effect of eating one bar to no chocolate at all (one experimental and one control condition).
independent measures design
an experimental design in which a different group of participants is used for each level of the IV (condition).
repeated measures design
an experimental design in which each participant performs in every level of the IV.
matched pairs design
an experimental design in which participants are arranged into pairs. Each pair is similar in ways that are important to the study and one member of each pair performs in a different level of the IV.
strengths and weaknesses of independent measures design
- different pps are used for each level of IV order effects
- pps only see one level of the IV so reducing demand characteristics
- random allocation to levels of IV can reduce the effects of individual differences
- uses more pps than RMD so the study may be less ethical if pps are harmed or less effective if there is a small sample bc pps are hard to find
- pp variables can distort the results of the study if there are important individual differences btwn pps in diff levels of the IV
repeated measures strengths and weaknesses
- pp variables are unlikely to distort the effect of the IV as each pp does all levels
- counterbalancing reduces effects of order effects
- uses less pps than in IMD so is good when pps are hard to find or is pps are at risk
- order effects could distort the outcomes of the study
- as pps see the experimental task more than once they have a greater exposure to demand characteristics
matched pairs design strengths and weaknesses
- pps only see one level of the IV reducing the effects of demand characteristics
- pp variables are less likely to distort the effect of the IV than in the IMD as individual differences are matched
- no order effects
- the similarity btwn pairs is limited by the matching process, so the right criteria must be chosen in advance for this to be effective
- availability of matching pairs may be limited, making the sample size small
demand characteristics
features of the experimental situation which give away the aims. They can cause participants to try to change their behaviour, e.g. to match their beliefs about what is supposed to happen, which reduces the validity of the study.
random allocation
a way to reduce the effect of confounding variables such as individual differences. Participants are put in each level of the IV such that each person has an equal chance of being in any condition.
participant variables
individual differences between participants (such as age, personality and intelligence) that could affect their behaviour in a study. They could hide or exaggerate differences between levels of the IV
order effects
practice and fatigue effects are the consequences of participating in a study more than once,
e.g. in a repeated measures design. They cause changes in performance between conditions that are not due to the IV, so can obscure the effect on the DV.
practice effect
a situation where participants’ performance improves because they experience the experimental task more than once, e.g. due to familiarity or learning the task.
fatigue effect
a situation where participants’ performance declines because they have experienced an experimental task more than once, e.g. due to boredom or tiredness.
counterbalancing
counterbalancing is used to overcome order effects in a repeated measures design. Each possible order of levels of the IV is performed by a different sub-group of participants. This can be described as an ABBA design, as half the participants do condition A then B, and half do B then A.
standardisation
keeping the procedure for each participant in an experiment (or interview) exactly the same to ensure that any differences between participants or conditions are due to the variables under investigation rather than differences in the way they were treated.
reliability
the extent to which a procedure, task or measure is consistent, for example that it would produce the same results with the same people on each occasion.
validity
the extent to which the researcher is testing what they claim to be testing.
describe Laboratory experiments
The participants are not in their usual environment for the behaviour they are performing, and there are strict controls over the situation.
- use many controls
- standardisation, which means that the procedure for each participant can be kept exactly the same.
- Both controls and standardisation help to make the findings of the experiment reliable, that is the researchers would be more certain that the procedures and measures they are using are consistent.
- Controlling variables also improves validity – how certain the researcher can be that they are testing what they claim to be testing.
- By keeping the situation the same, the researcher can be more certain that any differences in the DV really are due to the differences between levels of the IV rather than due to any extraneous variables.
define what a lab exp is
a research method in which there is an IV, a DV and strict controls. It looks for a causal relationship and is conducted in a setting that is not in the usual environment for the participants with regard to the behaviour they are performing.
define field experiments
an investigation looking for a causal relationship in which an independent variable is manipulated and is expected to be responsible for changes in the dependent variable. It is conducted in the normal environment for the participants for the behaviour being investigated.
describe field experiments
- It is a little harder to control variables and standardise procedures in a field experiment than a laboratory experiment.
- Reliability and validity may therefore be lower.
- However, validity might be improved because the participants are performing a task that seems normal in a familiar environment.
- Another advantage, if the participants are unaware that they are in an experiment, is that there may be fewer demand characteristics than there would be in a laboratory experiment.
- These are any features of the experiment that give away the aims and cause participants’ behaviour to change, for example to try to ‘make the experiment work’.
define generalisability
apply the findings of a study more widely, e.g. to other settings and populations.
define ecological validity
the extent to which the findings of research in one situation would generalise to other situations. This is influenced by whether the situation (e.g. a laboratory) represents the real world effectively and whether the task is relevant to real life (has mundane realism).
define Natural experiments
an investigation looking for a causal relationship in which the independent variable cannot be directly manipulated by the experimenter. Instead they study the effect of an existing difference or change. Since the researcher cannot manipulate the levels of the IV it is not a true experiment.
define an uncontrolled variable
a confounding variable that may not have been identified and eliminated in an experiment, which can confuse the results. It may be a feature of the participants or the situation.