Dependent Variable: Definition and Translation

In research, a 'dependent variable' is a factor that is being measured or observed. It is the outcome or result that is influenced by changes in the 'independent variable'.

Understanding Dependent Variables

Think of it as the effect you are trying to understand. For example, if you are studying the impact of exercise on weight loss, 'weight loss' would be the 'dependent variable' as it is what is being measured and is expected to change based on the amount of exercise (the 'independent variable').

Translating 'Dependent Variable' into English

While 'dependent variable' is a commonly used term in research, you may need to translate it into simpler language for a wider audience. Here are some alternatives:

  • Outcome variable: This emphasizes that the 'dependent variable' is the result you are measuring.
  • Response variable: This highlights the fact that the 'dependent variable' is the variable that responds to changes in the 'independent variable'.
  • Target variable: This emphasizes that the 'dependent variable' is the main focus of your research.

Example:

Imagine a study investigating the effect of different types of fertilizer on plant growth. Here's how the concept of 'dependent variable' applies:

  • Dependent variable: Plant height (measured in centimeters)
  • Independent variable: Type of fertilizer (e.g., organic, chemical)

In this example, plant height is the 'dependent variable' because it is expected to change based on the type of fertilizer used. The researchers will be measuring how plant height changes in response to different types of fertilizer.

Key Takeaways:

  • The 'dependent variable' is the outcome or effect you are measuring in research.
  • It is influenced by changes in the 'independent variable'.
  • Use clear and understandable language when explaining 'dependent variables' to a general audience.
Dependent Variable: Translation and Explanation

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