How business process management (BPM) can help the IT department
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What is the most significant information you learned about the skills required to be an effective counselor?
THERE ARE TWO ASSIGNMENTS DUE BY THIS WEDNESDAY NIGHT
Assignment #1
Write a 500-750-word paper addressing the following:
What is the most significant information you learned about the skills required to be an effective counselor? Were there any skills that surprised you as you worked through the course?
What are your strengths as a potential counselor? These could be attending or communication skills, attitudes or behaviors that will be an asset in the counseling role.
What skills do you think will be most difficult for you? What might be your handicaps as a counselor?
What are some specific actions you will take to prepare yourself for your future practicum experience?
Review your text regarding consultant-counselor and the additional reading on the topic. Explain the role of consultant-counselor. Do you see yourself acting in this role? Why or why not?
Here is our text book:
Egan, G. (2014) The skilled helper: A problem management and opportunity development approach to helping. Belmont, C.A. Brooks/Cole.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.
Assignment #2
In a 250-500-word essay, hypothetically terminate the counseling relationship with a client who has experienced trauma and abuse in the past and has now seen you, the counselor, for 8 months regarding this trauma.
Describe the successful termination of the client relationship.
Discuss strategies for helping the client to maintain change post-termination.
Include at least one scholarly reference in your paper.
You can also Use our text book :
Egan, G. (2014) The skilled helper: A problem management and opportunity development approach to helping. Belmont, C.A. Brooks/Cole.
Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center. An abstract is not required.
You are required to submit this assignment to Turnitin. Please refer to the directions in the Student Success Center.
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Response Please 3 To Have Sentences
Provide a substantive contribution that advances the discussion in a meaningful way by identifying strengths of the posting, challenging assumptions, and asking clarifying questions. Your response is expected to reference the assigned readings, as well as other theoretical, empirical, or professional literature to support your views and writings.
The discussion post this week asks us to discuss data screening. Data screening is a way to go through your data, looking for errors that might need to be fixed prior to running analysis. Data screening is done to look for errors in data entry, outliers, and missing data. Errors in data entry can occur during data collection or when the data is entered into the system. When data is collected from a sample group, especially with self-answer data, it is possible that data may be incorrectly written down. This could occur as simply as the individual missing a line or missing a question on the survey. Alternatively, the data received may have been erroneously entered into the system. Missing data also seems to be clear in that it is data that is literally missing from the fields. SPSS can replace missing data with reasonable estimates based on the known data (Warner, 2013). Lastly, the outliers. These are data that is extremely high or extremely low based on the average of the data collected. Some scientists use the standard deviation of the mean and accept a certain number higher and lower as permittable while considering numbers outside of this range outliers. There is a risk to doing this to frequently as the researcher can create any number set of his data that he wants to “fit” by manipulating his numbers. It is recommended that one should not simply delete marginal data as it could lead to type 2 error, or falsely identifying outliers when none exist. This can lead to bad results (Spectroscopy, 2018).
References
Spectroscopy. (2018). Outliers, Part II: Pitfalls in detecting outliers. Spectroscopy, 33(2), 1-4.
Warner, R. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed). Thousand Oaks, CA: Sage Publishing.
Posted: A Month AgoDue: 27/0
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