ASH EDU 675 Week 5 DQ 2 Data Analysis and Early Feedback NEW

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ASH EDU 675 Week 5 DQ 2 Data Analysis and Early
Feedback NEW Check this A tutorial guideline
at http//www.assignmentcloud.com/edu-675-new/ed
u-675-week-5-dq-2-data-analysis-and-early-feedback
-new For more classes visithttp//www.assignmen
tcloud.com Data Analysis and Early
FeedbackSchool leaders have found many benefits
from the implementation of action research
methodology to initiate the change process
(Buczynski Hansen, 2014 Mills, 2014). It has
been stated that action research has been and
continues to be a process of practical and
grounded inquiry that reflects in its origins the
empowerment of teacher to identify and solve
their own problems (Stringer, 2007, p. 32).
Further, Buczynski and Hansen (2014 p. 365)
explain that action research provides a clear
path to understanding change because it is a
powerful tool that guides our decisions and
practices. As you have now finished implementing
your intervention/innovation directly, this
discussion provides the opportunity to prepare
your data analysis as is expected for the final
project, and to share it in the discussion forum
for the purpose of providing and receiving
feedback from your peers. This collaboration and
preparation will further inform your analysis and
revisions in preparation for the final project in
Week Six.
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Initial Post Post your data analysis as an
attachment following the format outlined
below    Data Collection Strategies In
one-to-two pages, describe the data obtained
through the observations. Charts, diagrams, or
other visual depictions of your data may be
included.    Outcome Analysis In one-to-two
pages, present your conclusions of your data
analysis. Explain the specific strategies that
were successful, which strategies did not work as
well as was anticipated? Additionally, explain
how the strategies support the research
questions.Guided Response You are encouraged to
respond as quickly as possible on or even before
Day 3, as the information you provide and receive
from others will help refine the analysis in Week
Six. In responses to two of your peers, comment
on the data analysis presented in the initial
post. Ask questions for clarification from your
peers to encourage continued conversation and
provide feedback about their data analysis,
themes, trends that will assist them in
developing their final analysis and action plan.
Again, though two replies is the basic
expectation, for deeper engagement and learning,
you are encouraged to provide responses to any
comments or questions others have given to you
including the instructor to further the
conversation while giving you opportunities to
demonstrate your content expertise, critical
thinking, and real world experiences with this
topic.