Operationalisation

• What does operationalisation mean?

  Turning abstract ideas into measurable concepts
• How does operationalisation improve research clarity?

  It makes research clear and objective
• How might you operationalise the concept of stress?

  Using a stress scale with specific questions
• Why is operationalisation important in research?

  It allows for objective measurement of concepts
• What is an independent variable in an experiment?

  The variable we change to see its effect
• What are the steps involved in operationalising a concept?

  • Identify the abstract concept
  • Define measurable variables
  • Develop specific measurement tools
  • Collect data using these tools
• What are the different types of variables in experiments?

  • Independent Variable: Changed to see effects
  • Dependent Variable: Measured to see effects
  • Control Variable: Kept constant to prevent influence
  • Extraneous Variable: Uncontrolled factors affecting results
  • Confounding Variable: Uncontrolled factors correlated with both variables
• What is a control variable?

  Factors kept constant to prevent influence
• What does operationalizing variables mean?

  Defining them in a measurable way
• How does the dependent variable relate to the independent variable?

  It is measured to see the effect of the independent variable
• What is a dependent variable in an experiment?

  The variable we measure to see if it's affected
• What is one way to operationalize stress?

  Scores on the Perceived Stress Scale
• What is an extraneous variable?

  Uncontrolled factors that could affect results
• Why is a confounding variable problematic in experiments?

  It can lead to mistaken conclusions
• How can age be operationalized in research?

  As "number of years lived"
• What are the benefits of operationalisation in experiments?

  • Increases precision and repeatability
  • Ensures clear understanding of variables
  • Promotes objective measurement
  • Prevents ambiguity in definitions
  • Enhances consistency across studies
• What is a challenge associated with subjective measures?

  They can introduce bias
• How can bias from subjective measures be minimized?

  Use objective measures like standardized tests
• Why do we change the independent variable in an experiment?

  To observe its effect on the dependent variable
• What is the definition of operationalisation in experiments?

  Defining variables in measurable terms
• Why is defining "anxiety" operationally important?

  It ensures consistency and avoids ambiguity
• Why is operationalizing variables important in research?

  It ensures research is clear and objective
• How might study habits be operationalized in a study?

  Recording "daily hours spent studying"
• What is a potential issue with multiple definitions of a variable?

  It can lead to inconsistent results
• Why is operationalisation important for experiments?

  It ensures precision and repeatability in research
• How does operationalisation prevent ambiguity in research?

  By defining variables clearly and measurably
• What is a confounding variable?

  An uncontrolled factor correlated with both variables
• Why are control variables important in experiments?

  They prevent other factors from influencing results
• How can extraneous variables be managed in experiments?

  Often managed through randomization
• What solution can be used for multiple definitions of a variable?

  Choose a standard definition relevant to research
• How can ambiguity in variable definitions be resolved?

  Provide precise, measurable definitions
• What is the main challenge when operationalizing variables?

  Ambiguity in definitions