Social Work Research: Purposes, Evaluations, and Measurements

Explanatory Research

Explanatory research goes a step beyond description. While descriptive research tells us what is happening, explanatory research seeks to understand the relationship between variables to explain why something happens.

An example would be a researcher studying whether family conflict is related to substance use among teenagers. Here, the researcher is looking for a causal or correlational link between two distinct factors.

Evaluative Research

Evaluative research is used to determine the effectiveness of a specific program or intervention. This is a cornerstone of social work accountability, ensuring that the services provided actually meet the needs of the clients.

Program vs. Intervention Evaluation

Within the realm of evaluative research, it is crucial to distinguish between evaluating a broad program and evaluating a specific intervention.

• Program Evaluation: This looks at the "big picture" of an organization or service. It examines administrative components such as intake procedures, staff training, funding sources, and overall service delivery. For example, reviewing the housing placement success and funding at a youth center is a program evaluation.
• Intervention Evaluation: This is more narrow and clinical. It focuses on the effectiveness of a specific treatment or method used to achieve a particular outcome. A classic example is measuring whether Cognitive Behavioral Therapy (CBT) successfully reduces depression symptoms.

Exam Tip: If the scenario mentions "staffing," "funding," or "agency procedures," think Program Evaluation. If it mentions a specific "therapy," "treatment," or "clinical technique," think Intervention Evaluation.

Measurement: Quantitative vs. Qualitative

Once the purpose is defined, the researcher must decide how to measure their variables. This choice dictates whether the data will be numerical or narrative.

Quantitative Measurement

Quantitative measurement involves collecting data that can be counted or expressed numerically. This type of data is often used to identify patterns, averages, and statistical significance.

Examples include:

• The number of emergency room visits in the past year.
• Client satisfaction ratings on a scale of 1–5.

Qualitative Measurement

Qualitative measurement focuses on capturing the quality, meaning, or experience of a phenomenon through words and descriptions. This provides depth and context that numbers often miss.

Examples include:

• Client interviews describing personal experiences of domestic violence.
• Open-ended journal responses regarding parenting stress.

Critical Thinking: Avoiding Research Pitfalls

A common mistake in social work practice is attempting to claim success without proper measurement. Consider this scenario: An agency claims its anger-management program is successful because clients reported improvement after completing the program, but no data were collected before the program began.

This is a flawed evaluative study. Without a "baseline" (the measurement taken before the intervention), it is impossible to prove that the program caused the improvement. To improve this study, a researcher should implement a pre-test/post-test design, measuring the clients' anger levels both before and after the intervention to ensure the change is statistically significant.