Quantitative vs. Qualitative
What is quantitative and qualitative data?
Quantitative and Qualitative Data
Quantitative Data:
Quantitative data refers to information that can be measured and expressed numerically. It is used to quantify the characteristics, behaviors, or phenomena and is often collected through structured methods such as surveys, experiments, or existing databases. This type of data allows for statistical analysis, which can reveal patterns, correlations, and trends.
Characteristics:
- Numerical: Quantitative data is represented in numbers and can be analyzed using statistical techniques.
- Objective: It aims to provide objective measurements and comparisons.
- Structured: Typically collected through structured tools like questionnaires with predefined responses or measurement instruments.
- Examples:
- Survey responses with ratings on a scale (e.g., satisfaction ratings from 1 to 5).
- Test scores or grades…
Quantitative and Qualitative Data
Quantitative Data:
Quantitative data refers to information that can be measured and expressed numerically. It is used to quantify the characteristics, behaviors, or phenomena and is often collected through structured methods such as surveys, experiments, or existing databases. This type of data allows for statistical analysis, which can reveal patterns, correlations, and trends.
Characteristics:
- Numerical: Quantitative data is represented in numbers and can be analyzed using statistical techniques.
- Objective: It aims to provide objective measurements and comparisons.
- Structured: Typically collected through structured tools like questionnaires with predefined responses or measurement instruments.
- Examples:
- Survey responses with ratings on a scale (e.g., satisfaction ratings from 1 to 5).
- Test scores or grades…
Quantitative and Qualitative Data
Quantitative Data:
Quantitative data refers to information that can be measured and expressed numerically. It is used to quantify the characteristics, behaviors, or phenomena and is often collected through structured methods such as surveys, experiments, or existing databases. This type of data allows for statistical analysis, which can reveal patterns, correlations, and trends.
Characteristics:
- Numerical: Quantitative data is represented in numbers and can be analyzed using statistical techniques.
- Objective: It aims to provide objective measurements and comparisons.
- Structured: Typically collected through structured tools like questionnaires with predefined responses or measurement instruments.
- Examples:
- Survey responses with ratings on a scale (e.g., satisfaction ratings from 1 to 5). Quantitative vs. Qualitative
- Test scores or grades…
