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What Best Practices Should University Students Follow When Collecting Qualitative and Quantitative Data?

Best Practices for Collecting Qualitative and Quantitative Data

  1. Define Your Research Questions:

    • Write down exactly what you want to learn about.
  2. Sampling Techniques:

    • Use random sampling for quantitative data.
    • This means picking people at random to make sure they represent the entire group.
    • A good rule is to have at least 30 people in your sample.
  3. Data Collection Methods:

    • For quantitative data:
      • Use surveys that have closed-ended questions.
      • This gives you numbers to work with.
    • For qualitative data:
      • Have interviews or focus groups.
      • This helps you get deep and detailed information.
  4. Data Analysis:

    • For quantitative data:
      • Use descriptive statistics like mean (average), median (middle value), and mode (most common value).
    • For qualitative data:
      • Use thematic analysis to spot key trends and patterns.
  5. Validation:

    • Check your findings by using different data sources.
    • This makes your results more trustworthy.

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Descriptive Statistics for University StatisticsInferential Statistics for University StatisticsProbability for University Statistics
Click HERE to see similar posts for other categories

What Best Practices Should University Students Follow When Collecting Qualitative and Quantitative Data?

Best Practices for Collecting Qualitative and Quantitative Data

  1. Define Your Research Questions:

    • Write down exactly what you want to learn about.
  2. Sampling Techniques:

    • Use random sampling for quantitative data.
    • This means picking people at random to make sure they represent the entire group.
    • A good rule is to have at least 30 people in your sample.
  3. Data Collection Methods:

    • For quantitative data:
      • Use surveys that have closed-ended questions.
      • This gives you numbers to work with.
    • For qualitative data:
      • Have interviews or focus groups.
      • This helps you get deep and detailed information.
  4. Data Analysis:

    • For quantitative data:
      • Use descriptive statistics like mean (average), median (middle value), and mode (most common value).
    • For qualitative data:
      • Use thematic analysis to spot key trends and patterns.
  5. Validation:

    • Check your findings by using different data sources.
    • This makes your results more trustworthy.

Related articles