research methods

Cards (80)

  • Independent variable (IV)

    the variable directly manipulated by the researcher.
  • Dependent variable (DV)

    the variable being measured in a study.
  • Operationalisation
    making the variables in an investigation detailed and specific.
  • Extraneous variable
    a variable that is not controlled, which could affect the results of a study.
  • Confounding variable
    an extraneous variable that affects the results of the study so that the effect of the IV is not truly being seen.
  • Situational variable

    an extraneous variable present in the environment of the study.
  • Order effects
    when participants improve or worsen in the second condition because they have practised or become fatigued.
  • Demand characteristics
    when the participant alters their behaviour in response to the perceived aims of the investigation.
  • Investigator effect
    when a researcher unintentionally gives clues to participants, altering their behaviour.
  • Participant variables
    extraneous variables specific to the participants of an investigation, for example their mood, ability or personality.
  • Standardised procedure
    where the procedure of a study is the same across all conditions.
  • Counterbalancing
    where half of the participant group experience condition A then condition B, while the other half experience condition B then condition A.
  • Randomisation
    when participants are randomly assigned to condition A or B as their first or second test condition.
  • Single-blind technique

    when information about the study is withheld from participants.
  • Double-blind technique

    when the aims of the study are withheld from both participants and researchers.
  • Random allocation
    when participants are randomly assigned to a condition of the study.
  • Null hypothesis
    a prediction that the results will fail to show any difference (or relationship) that is consistent or systematic.
  • Experimental hypothesis
    a prediction of the outcome of a study based on what is expected to happen.
  • Directional hypothesis
    a hypothesis that predicts the direction the results will go in.
  • Non-directional hypothesis

    a hypothesis that predicts that a difference/relationship will be found, but does not specify what the difference/relationship will be.
  • Target population
    the group of people being investigated in a study.
  • Sample
    a selection of the target population that is directly studied in an investigation.
  • Sampling method
    a technique used to gather a representative group of people as a sample from the target population.
  • Random sampling technique
    a technique used to gather a random sample of participants from the target population.
  • Stratified sampling technique

    a technique that ensures subgroups of the target population are proportionately represented in a sample.
  • Opportunity sampling technique
    a technique that recruits participants who are readily available at the time.
  • Volunteer sampling technique
    a technique that asks for participants by placing an advert for volunteers.
  • Sample error

    when a sample differs in qualities from the target population it intends to represent.
  • Biased sample

    when the sample recruited is made upof a particular type of person, which may not reflect the target population.
  • Research design
    how participants are allocated to the conditions of a study.
  • Experimental design
    the name given to research design when used in an experiment.
  • Independent measures design
    participants are split into groups, with each group tested in only one condition of a study.
  • Repeated measures design

    the same participants are used in all conditions of a study.
  • Matched pairs design

    different participants are used in each condition of the study, but are matched for likeliness on important characteristics
  • Reliability
    the consistency of an outcome or result of an investigation (a measure).
  • Validity
    whether the test measures what was intended.
  • Internal validity
    whether the measures used in a test genuinely test what they were designed to test.
  • External validity
    whether the findings are generalisable to the target population.
  • Qualitative methods
    ways of conducting research that find out new information rather
  • than testing a prediction; often resulting in gathering qualitative data.