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
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