Data Analysis in Social Work
By: Katie Henrie
Evidence Based Practice
There is a need to be able to provide clients with research to back the methods in which they will be using with them. The term evidence-based approach has been used to label methods that have undergone vigorous research to determine its efficacy. The National Association of Social Workers (NASW) state that:
Social
workers increasingly are seeking information about evidence-based practices.
Numerous resources are emerging to help connect research to practice and
provide information that can be helpful to practitioners. Since the term
evidence-based practice (EBP) is used in numerous ways, definitions will be
provided that can help expand social workers understanding of EBP. resources,
and publications will be identified that can be useful to inform practice and
guide policymakers. Since the identification of evidence-based practices
involves assessing the available body of practice-relevant research, having a
robust social work research base is important.
It is clear that statistics
has a place in social work to be able to provide good care but also improve
good client outcomes (Drake et al., 2001).
Data Analysis
The following is a great clip
that gives a general overview and introduction to descriptive & inferential
statistics. Understanding the importance that research and statistics have in
social work creates a need to understand how the data analysis process works. Knowing
that data is needed to be able create EBP’s one first needs to identify the
what they are trying to improve. Once they have done that, they then undergo
the process of collecting the data through whatever means they determine to be
an effective way to conduct their study.
After a study is done it is very important to clean and
organize the data. This can be topic that is a little difficult to navigate in
the social world field (Aguinis et al., 2013). It is pretty common practice to eliminate
outliers from data research because they will skew the results in a way that doesn’t
really show an accurate representation of the study. However, with research in
the social work field it is important to remember that those “outliers” could represent
the oppressed, marginalized, and vulnerable populations. That is why I hold the
opinion that research should always mention if they did get rid of outliers so
that those reading their paper will be able to see all of the data points that
were gathered.
The next step is to then analyze what the data means. How
to does it support or cause for need of more research to be done on your topic.
This part of the process is what causes the data to provide context for the original
question at hand. It is then important to interpret what the means for the
method and how it can be implemented into practice. It is also not uncommon to
have to do further research to further understand the topic as well. This would
then require a need to go through the same process that was just outlined. It
is good to have a headspace that there is always something further that can be
investigated.
Conclusion
When providing care to people in the social work field it is very important to have evidence back up the method and process that the social worker chooses to use. This will ensure that effective treatment is being delivered. The way to do this is to have statistical research done to provide evidence of the efficacy of approach. The data complied to reflect scenarios in which methods are being tried out and shown if they are proven helpful or not. This allows for the field to always be checking and rechecking its methods. Not everything is going to go to plan in a study, but that is why they are so important to be able to provide us that information. Now I’m curious to know the readers of this post thinks. What role do you think statistics play in social work? Is it worth all the burden it can cause? Do you think outliers should be kept within a data set when analysis is being done? Can’t wait to see all the conversation in the comments!
References
Aguinis, H., Gottfredson, R. K., & Joo, H. (2013). Best-practice recommendations for defining, identifying, and handling outliers. Organizational Research Methods, 16(2), 270-301.
Almazan, E. P. (Academic). (2017). An introduction to descriptive & inferential statistics [Video]. Sage Research Methods. https://doi.org/10.4135/9781473991743
Drake, R. E., Goldman, H. H., Leff, H. S., Lehman, A. F., Dixon, L., Mueser, K. T., & Torrey, W. C. (2001). Implementing evidence-based practices in routine mental health service settings. Psychiatric services, 52(2), 179-182.
National Association of Social Workers. (n.d.-b). Evidence-Based Practice. NASW, National Association of Social Workers. https://www.socialworkers.org/News/Research-Data/Social-Work-Policy-Research/Evidence-Based-Practice

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