Cards (15)

  • Definition
    An experiment in sociology involves manipulating one or more independent variables to observe the effects on one or more dependant variables while controlling for other factors
  • Types of experiments
    1. Laboratory experiments
    2. Field experiments
    3. Natural experiments
  • Laboratory Experiments
    • Conducted in a controlled area
    • Typically in a lab
    • Researchers typically manipulate variables precisely
  • Field Experiments
    • Controlled in real life settings
    • Allows greater validity but less control over variables
  • Natural Experiments 

    • Utilises naturally occurring situations or events to study their effects without direct manipulation by researcher
  • Key components
    • Hypothesis
    • Independent Variable
    • Dependent Variable
    • Control Group
    • Experimental Group
    • Randomisation
    • Operationalisation
  • Hypothesis
    A clear statement producing the relationships between variables
  • Independent Variable
    The variable manipulated by the researcher
  • Dependent Variable
    The variable being observed or measured, which is influenced by the independent variable
  • Control Group

    The group that doesn't receive the experimental treatment, used as a baseline for comparison
  • Experimental Group
    The group that receives the experimental treatment or manipulation
  • Randomisation
    Assigning participants to groups randomly to control bias and ensure equal representation
  • Operationalisation
    Defining variables in measurable terms to ensure consistency and replicability
  • Evaluation Of Experiments

    Strengths:
    1. Cause and Effect: Experiments can show if one thing causes another, like if a new teaching method improves grades.
    2. Control: They let us keep things the same except for what we're studying, making the results more trustworthy.
    3. Reliability: Other researchers can do the same experiment to check if they get the same results.
    4. Produces Quantitative Data : Experiments give us numbers we can easily understand and compare.
    5. Helpful for Decisions: They can guide decisions about how to teach better.
  • Evaluations
    Limitations:
    1. Not Like Real Life: Sometimes the experiments don't feel like real school, so the findings might not apply everywhere.
    2. Ethical Problems: Sometimes it's not fair to treat students differently for the sake of an experiment.
    3. Hard to Organize: It can be tough to set up experiments in real schools.
    4. Short-term Focus: Experiments might miss the long-term effects of changes in education.
    5. Limited Understanding: They might not capture everything that affects learning, like home life or culture.