• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/42

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

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

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

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

Hypothesis

Testable statement about the assumed relationship between variables.

IV and DV

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

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.

Participant variables

Error does not affect everyone, is on a personal level.

E.g. gender or state of mind

Mundane realism

The extent to which the features of a study imitate real life.

Links to generalisability

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

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

External validity

The degree to which a research finding can be generalised.

Links to ecological, population and historical validity

Ecological validity

Generalisation to other settings

Population validity

Generalisation to other groups of people.

Historical validity

Generalisation over time.

Validity

Refers to whether an observed effect is a genuine one.

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

Non-directional hypothesis

Predicts that there will simply be a difference between 2 conditions, without stating the direction.

Opposite to directional hypothesis

Pilot study

A small-scale trial run of a study to test any aspects of the design, with a view to making improvements.

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

Repeated measures

All participants receive all levels of the IV.

Everyone is equal

Independent groups

Participants are placed in separate groups, each group does one level of the IV.

Different groups

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

Counterbalancing

Each condition is tested first or second in equal amounts.

E.g. Group 1 = AB, Group 2 = BA

Order effects

Due to repeated measures, extraneous variable arising from order in which conditions are tested.

E.g. practice, fatigue or boredom effect

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

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

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

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

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

Demand characteristics

A cue that makes the participants unconsciously aware of the aims of the study.

Creates behavioural expectations

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

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

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

Opportunity sample

Participants selected from those most easily available at the time of the study.

Easy to do, but bias

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

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

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

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?)

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

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

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

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