Experimental Methods

Cards (35)

  • Qualitative data

    Data in the form of text/pictures (transcripts, field notes & sometimes pictures)
  • Quantitative data

    Data in the form of numbers
  • Qualitative data is naturally occurring & rich data (open ended, i.e. open for interpretation)
  • Analysis of qualitative data is often difficult & time consuming: no single approach to data analysis
  • Qualitative research often involves fewer participants (non-probability sampling)- difficult to generalise
  • Analysis of quantitative data is relatively easy- statistical tests
  • Quantitative research is easier to use data from many participants & aim is often to generalise of findings to populations
  • Both qualitative and quantitative approaches are equally valuable and their use will depend on the aims and objectives of an investigation
  • Behaviour is often the result of complex social, cultural, cognitive as well as biological interactions, a combination of approaches to researching behaviour is not only inevitable, but desirable
  • Research methods that often yield qualitative data

    • Case Studies
    • Naturalistic Observations
    • Interviews
  • Research methods that often yield quantitative data

    • Lab Experiments
    • Field Experiments
    • Natural Experiments
    • Quasi Experiments
    • Correlational Research
    • Surveys
  • Surveys that include open ended questions will yield qualitative data
  • In some naturalistic observations, psychologists do numerical counts of particular behaviours therefore producing quantitative data
  • Experimental method

    Direct way to test a hypothesis to find a cause and effect relationship between factors
  • Experimental method
    Manipulates one or more factors to observe their effect on some behavior or mental process while controlling other relevant factors
  • Independent variable

    The factor that is manipulated by the researcher, hypothesised to cause an effect on another variable
  • Dependent variable

    The observed and measured factor, hypothesised to be affected
  • Experimental condition
    The condition that exposes the subjects to the independent variable
  • Control condition

    The condition that serves as a contrast or comparison to the experimental condition, the subjects are not exposed to the independent variable
  • Extraneous variables

    All variables, which are not the independent variable, but could affect the results (DV) of the experiment
  • Types of extraneous variables

    • Situational variables
    • Participant variables
    • Experimenter effects
    • Demand characteristics
  • Control variables

    Experimental controls that researchers use to minimise the chances that variables other than the independent variable have impacted the dependent variable
  • Where experiments are highly controlled we can say they have high internal validity
  • Internal validity

    Whether results obtained were due to the manipulation of the IV rather than any other factors such as extraneous variables
  • Experimental hypothesis

    A statement that is testable and falsifiable based on the results of an experiment or observation, stating the relationship between two or more factors (variables)
  • One-tailed hypothesis

    States which direction the results will go in and usually contains words like 'more', 'better', 'faster'
  • Two-tailed hypothesis

    Predicts that the IV will impact the DV but it does not include a prediction of the direction the results will go in, tends to include terms like "there will be a difference between…" or "have an effect on"
  • Null hypothesis

    A prediction that the independent variable will have no effect on the dependent variable
  • Operationalising variables

    Clearly defining the independent variable and the dependent variable, including how they will be manipulated and measured
  • True experiment
    The researcher manipulates the independent variable, there are at least two conditions that are compared, and allocation to conditions is done randomly
  • Laboratory experiment
    A type of true experiment conducted in a controlled environment with a highly standardised procedure
  • Field experiment

    A type of true experiment conducted in the participants' natural environment, with some degree of control but less than a lab
  • Quasi-experiment
    Not a true experiment, where assignment of participants to conditions cannot be made at random for practical or ethical reasons
  • Natural experiment

    A special type of quasi-experiment where the independent variable is environmental in nature and outside of the control of the researcher
  • Pre-test/post-test design

    An experiment where the dependent variable is measured both before and after the independent variable is introduced