Identify the difference between qualitative and quantitative data in project assessments.

Identify the difference between qualitative and quantitative data in project assessments.

• A. Qualitative data is only numerical.
• B. Qualitative data is descriptive and subjective, while quantitative data is numerical and objective.
• C. Quantitative data is opinion-based.
• D. Both types of data are identical in purpose.

Answer: (B)

The distinction between qualitative and quantitative data is essential in project assessments. Qualitative data refers to non-numeric information that describes qualities or characteristics, often gathered through interviews, observations, or open-ended survey questions. This type of data is subjective, as it reflects personal perceptions or experiences. It provides depth and insight, helping to understand the underlying motivations, feelings, and attitudes of participants. On the other hand, quantitative data is numerical and objective. It can be measured and analyzed using statistical methods. This type of data often involves metrics, such as percentages, counts, or other measurable factors, allowing for a clearer comparison and evaluation of project performance or outcomes. Understanding these differences helps in selecting the appropriate data type for specific project assessments and in analyzing results effectively. By leveraging both qualitative and quantitative data, project managers can gain a comprehensive view of a project's impact.

The distinction between qualitative and quantitative data is essential in project assessments. Qualitative data refers to non-numeric information that describes qualities or characteristics, often gathered through interviews, observations, or open-ended survey questions. This type of data is subjective, as it reflects personal perceptions or experiences. It provides depth and insight, helping to understand the underlying motivations, feelings, and attitudes of participants.

On the other hand, quantitative data is numerical and objective. It can be measured and analyzed using statistical methods. This type of data often involves metrics, such as percentages, counts, or other measurable factors, allowing for a clearer comparison and evaluation of project performance or outcomes.

Understanding these differences helps in selecting the appropriate data type for specific project assessments and in analyzing results effectively. By leveraging both qualitative and quantitative data, project managers can gain a comprehensive view of a project's impact.