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42 Cards in this Set
- Front
- Back
- 3rd side (hint)
Extraneous variables |
Nuisance variables that make it more difficult to detect a significant effect. Have an effect on the DV, but do not vary systematically with the IV and so do not act as an alternative IV. |
Nuisance |
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Operationalise |
Ensuring that variables are in a form that can be easily tested. |
E.g. number of hours of sleep per night in a week |
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Standardised procedures |
A set of procedures that are the same for all participants in order to be able to repeat the study. |
Includes standardised instructions |
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Hypothesis |
Testable statement about the assumed relationship between variables. |
IV and DV |
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Confounding variables |
Vary systematically with the IV and so can become an alternative IV, meaning that the change to the DV may be due to a confounding variable. |
E.g. time of day, noise level |
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Situational variables |
Error that affects all participants consistently, and so affects the DV consistently. |
May be due to a failure to counterbalance the order of conditions, for example. |
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Participant variables |
Error does not affect everyone, is on a personal level. |
E.g. gender or state of mind |
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Mundane realism |
The extent to which the features of a study imitate real life. |
Links to generalisability |
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Generalisation |
When participants know they are being studied or the material/environment lack mundane realism = study cannot be applied to real life. |
Links to external validity |
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Internal validity |
The degree to which an observed effect was due to the experimental manipulation rather than other factors such as extraneous/confounding variables. |
Links to relationship between IV and DV |
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External validity |
The degree to which a research finding can be generalised. |
Links to ecological, population and historical validity |
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Ecological validity |
Generalisation to other settings |
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Population validity |
Generalisation to other groups of people. |
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Historical validity |
Generalisation over time. |
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Validity |
Refers to whether an observed effect is a genuine one. |
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Directional hypothesis |
States the direction of the predicted difference between 2 conditions or 2 groups of participants. |
E.g. As age increases, the person's memory declines |
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Non-directional hypothesis |
Predicts that there will simply be a difference between 2 conditions, without stating the direction. |
Opposite to directional hypothesis |
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Pilot study |
A small-scale trial run of a study to test any aspects of the design, with a view to making improvements. |
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Confederate |
An individual in a study who is not a real participant and has been instructed how to behave by the investigator. |
In cahoots with the investigator |
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Repeated measures |
All participants receive all levels of the IV. |
Everyone is equal |
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Independent groups |
Participants are placed in separate groups, each group does one level of the IV. |
Different groups |
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Matched pairs |
Participants matched on key characteristics relevant to the study, put into pairs, one part of the pair experiences 1 condition, the other experiences the other condition. |
Pairing on characteristics |
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Counterbalancing |
Each condition is tested first or second in equal amounts. |
E.g. Group 1 = AB, Group 2 = BA |
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Order effects |
Due to repeated measures, extraneous variable arising from order in which conditions are tested. |
E.g. practice, fatigue or boredom effect |
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Random allocation |
Participants placed in different conditions through random techniques. Combats effects of participant variables not being controlled in independent groups. |
E.g. random number generator |
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Lab experiment |
Carried out in controlled conditions, with an IV and DV, the IV is manipulated by the researcher. |
Good internal validity, low ecological validity, causal relationships demonstrated |
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Field experiment |
Controlled but conducted outside of a laboratory, IV still manipulated by researcher and may be contrived, more natural experiment. |
Lower internal validity, higher ecological validity, causal relationships demonstrated |
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Natural experiment |
IV not manipulated directly and varies naturally, DV recorded and may be measured in a lab. Causal relationships can only be tentatively drawn. |
No random allocation or manipulation of IV, sample studied may have unique characteristics |
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Quasi experiment |
IV is not actually a variable, it is an already existing condition e.g. age, researcher records effect on DV. An 'almost' experiment. Causal relationships can only be tentatively drawn. |
No random allocation or manipulation of IV, sample studied may have unique characteristics |
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Demand characteristics |
A cue that makes the participants unconsciously aware of the aims of the study. |
Creates behavioural expectations |
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Investigator effects/bias |
Anything the investigator does that has an effect on a participant's performance in a study other than what was intended. This includes direct (interaction with participant) and indirect effects (due to design of experiment). |
Minimised by single or double blind designs |
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Single blind design |
The participant is not made aware of the research aims and/or what condition they are in. This prevents participants from seeking cues about aims and reacting to them. |
Helps minimise demand characteristics |
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Double blind design |
Both participant and the person conducting the experiment are 'blind' to the aims and/or hypotheses. |
Minimises demand characteristics and investigator effects |
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Opportunity sample |
Participants selected from those most easily available at the time of the study. |
Easy to do, but bias |
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Random sample |
Participants selected using a random technique, e.g. random number generator, so that every member of the population being tested has an equal chance of being selected. |
Unbiased, but time-consuming |
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Stratified sample |
Participants selected by identifying subgroups according to their frequency within the population. Participants are then selected randomly from the subgroups. |
Proportional, unbiased and representative, but time-consuming |
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Systematic sample |
Participants selected by selecting every nth person. This can be a random sample if the first person selected is random. |
Unbiased, but is not truly random |
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Volunteer sample |
Self-selection sample of participants that volunteer for the study. E.g. response to an advert. |
Variety of participants, but volunteer bias (certain type of people volunteer?) |
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Informed consent |
Participants given comprehensive information about the study. Presumptive consent can be given, but is not the same as a real agreement. May give away the aims of the experiment BUT is a basic human right. |
Signed consent form, right to withdraw must be available, but participants still may not understand what is involved |
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Deception |
Participants are not told the true aims of the study. Acceptable when information is withheld (less so if dishonest) BUT prevents informed consent, may cause distrust of future psychologists. |
Debriefing is required and right to withhold data, but harm is already done |
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Right to withdraw |
Participants can stop participating in the study at any point if they feel uncomfortable. Biases sample BUT compensates for situations involving deception. |
Part of informed consent, may not feel like an option in some experiments |
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Protection from psychological and physical harm |
Participants should not experience negative psychological or physical effects. Difficult to guarantee because of unpredictability and risks should be no greater than everyday life. |
Researcher can stop study at any time, risk may only be apparent in hindsight |