response to classmate module 7

Module 7: Constructing Measurable Goals (graded)

Mandated clients are required by a legal entity, family members or institutions to undergo interventive treatment with social workers. According to the first two standards of the NASW Code of Ethics which govern responsibility to clients, social workers are bound to “promote the right to self determination” and “assist in efforts to identify and clarify (client) goals.” (NASW, n.d.). For clientele that must complete a course of therapeutic treatment with a social worker under compulsory conditions, the system of goal setting is a bit more nuanced and must center a client’s right to self-determination within the framework of ethical expectations and client responsibilities.

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Constructing measurable goals for mandated clientele involves a more directive approach, allowing for client input regarding the steps necessary to achieve goals. For clients who are not mandated, goal setting involves more self-determination on the part of the client with supportive listening techniques and empowerment provided by the social worker.

Both types of clients (mandated and non) have the capacity for self-motivation in setting and achieving goals, though a mandated client may take longer to arrive at the realization for the need for social work intervention and may struggle to self-motivate initially. Additionally, there may be a sense of resistance or hostility that the client must process with the social worker before a meaningful rapport can be established.


Barsky, Allen, Do involuntary clients have a right to self determination? (n.d.).
Links to an external site.

National Association of Social Workers (NASW). (n.d.). Retrieved October 13, 2020, from


Module 7: Engaging Conversations with Clients (graded):

How would you suggest engaging a conversation with clients about the use of measurement in treatment:

Using the motivational interviewing skill during our conversations I would delve into the issue and speak about how they bring X up a lot. I would then ask have they ever thought of possibly doing something about this, yes they have thought of doing XYZ to make X better but they feel they are not making any progress. I would inform them if you like we can set up an assessment to measure your goals, this assessment is called the Becks depression inventory it is a self-report. This will allow you to see what might be helping you we can take it once every two weeks or once every month if you like, this will allow you to see that your goals to help lower your depression. You can show me or you can keep them to yourself.

how will you handle resistance to the use of those?


I would use agreeable mandate with those who are resistant to goal change. (Rooney, D.H.H.R.H.R.G. D. (2016.) Because the mandate might be from the courts or employer that they have to find proper medication and therapy to address their depression before returning to work. Because the client is feeling depressed about this they might choose to understand that even though this isn’t fair, they know that depression is causing more problems than just work-related. Because of the reassurance of their depression is real and how they feel is real and that we have tools and medication to help them get better so they are back to the level they need to be, this will allow them to help work through the real issues that they are unaware of.,et%20al.%2C%201961).&text=(Beck%2C%20Steer%2C%20%26%20Garbin,Groth%2DMarnat%2C%201990
(Links to an external site.)


Rooney, D.H.H.R.H.R.G. D. (2016). Empowerment Series: Direct Social Work Practice: Theory and Skills.


Module 7: Descriptive Statistics (graded):

Hello Class,

The cross-sectional study contains highly descriptive statistics of the study’s research subjects in terms of demographics and results of their findings. They include age, BMI, race, economic status, employment, education, and marital status (Laing et al., 2020).
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These statistics go above and beyond an adequate description of the sample that was studied.

This quantitative exploratory study evaluates the demographic of social predictors of healthy eating habits and physical activity (PA) in working rural women. The study sample also takes a look at this subject’s interest in using technology for researching and using for promoting heath. The descriptive statistics in this study included that less than a quarter of the groups followed recommendations for daily requirement of fruits and vegetables and recommended PA, a direct correlation with barriers with PA and health eating (Laing et al., 2020).
(Links to an external site.)
Most importantly, it has a complete socioeconomic breakdown of the connection between income levels and the time taken for time and preparation for keeping and maintaining a heathy lifestyle.

Central tendency is the single value that attempts to describe a central data by identifying the central position within a set of data. When it comes to descriptive statistics, central tendency is the form of summary average is how this is measured (Hepworth et al., 2017).
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In this study, for example, 82% of the sample used their smart phones to look health information and 29% of the sample did so daily. In fact, almost 62% stated they would use online technology to locate health information board and 45% to investigate forms of physical activity. The study measured several variables, including PA engagement, barriers & support to PA engagement, healthy eating engagement, barriers& support to healthy eating engagement, and technology access to use for health information. Each had a mean and a breakdown of statistics to find the median and the mode, if needed.

There was no description of missing data, but did mention limitations due to this small sample size may not reflect other individual rural communities. My thought is that the assumption was based on results of recent study’s that examined the increasing likeliness of people to be obese in rural communities (Laing et al., 2020).
(Links to an external site.)
The study attempts to examine that and the fact that women have been found that menopausal women had been more likely to be overweight and linked to numerous chronic diseases such as cancers, metabolic disorders, and cardiovascular diseases. The introduction conveys its intent to target overweight, middle-aged women to help with the chronic disease concern (Laing et al., 2020).
(Links to an external site.)

Here is the link to the study:

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