Data Collection & Analysis Flashcards

What is the purpose of data collection in program evaluation?

Answer: Gather accurate info

Data collection is fundamental to program evaluation because it provides the factual basis for understanding a program's activities, outputs, and outcomes. By systematically gathering accurate and relevant information, evaluators can objectively assess the program's effectiveness, efficiency, and impact, moving beyond assumptions to evidence-based conclusions.

Which method involves gathering numerical data?

Answer: Quantitative

Quantitative methods are specifically designed to collect and analyze numerical data, such as statistics, frequencies, and measurements. This approach allows evaluators to quantify aspects of a program, identify patterns, test hypotheses, and generalize findings to a larger population, providing measurable insights into program performance.

Why is sampling important in data collection?

Answer: Representative subset

Sampling is crucial in data collection because it allows evaluators to gather information from a smaller, manageable subset of a larger population. When done correctly, this subset is representative of the entire population, enabling evaluators to draw valid conclusions and make inferences about the whole group without needing to collect data from every single individual.

What is the role of data validation?

Answer: Ensure accuracy

Data validation is a critical step in program evaluation that involves checking the collected data for completeness, consistency, and accuracy. This process helps to identify and correct errors, ensuring that the data used for analysis is reliable and trustworthy. Accurate data is essential for drawing credible conclusions and making sound recommendations about a program.

What does descriptive analysis do?

Answer: Summarize data

Descriptive analysis is used to summarize and describe the main features of a dataset, providing a clear picture of what the data shows. It involves calculating measures like averages, frequencies, and percentages, as well as creating charts and graphs. This initial step helps evaluators understand the characteristics of their data before performing more complex analyses.

Why use qualitative data?

Answer: Understand perceptions

Qualitative data is invaluable in program evaluation for gaining deep insights into people's experiences, perceptions, feelings, and the underlying reasons behind observed phenomena. Unlike numerical data, it provides rich, detailed narratives and context, helping evaluators understand the "why" and "how" of program impacts and participant experiences.

What is a common tool for data collection?

Answer: Surveys

Surveys are a widely used and versatile tool for data collection in program evaluation, allowing evaluators to gather information from a large number of respondents efficiently. They can be designed to collect both quantitative (e.g., ratings, demographics) and qualitative (e.g., open-ended comments) data, providing insights into attitudes, opinions, and behaviors related to a program.

How does data analysis support evaluation?

Answer: Inform decisions

Data analysis is crucial in program evaluation as it transforms raw data into meaningful insights and evidence. By identifying patterns, trends, and relationships within the data, evaluators can draw conclusions about a program's effectiveness, efficiency, and impact. These evidence-based findings then directly inform stakeholders' decisions regarding program improvement, continuation, or replication.

Why is ethical data handling important?

Answer: Protect privacy and trust

Ethical data handling is paramount in program evaluation to protect the privacy, confidentiality, and well-being of participants. Adhering to ethical guidelines builds trust with participants and stakeholders, ensuring that data is collected, stored, and reported responsibly. This commitment to ethics maintains the integrity of the evaluation process and safeguards against potential harm.