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.
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