1) The document discusses various methods for analyzing qualitative data collected from student interviews at Highland Park High School, including identifying themes by carefully reading interview transcripts, developing a coding scheme, and sorting data by themes. 2) It also discusses using concept maps to visualize major influences on the study from different perspectives like students, parents, teachers and administrators. 3) The analysis process included connecting findings to personal experiences of the researchers and seeking insights from critical friends to further interpret and clarify the data.

1. Respond in a paragraph to the discussion board. In your
response, do not just agree or disagree, tell the reason for your
response. Your response must be at least 100 words. Each
answer separately. Use APA 7.
Peer1
Anabel Caraza Cruz
One of the common forms of qualitative data that action
researchers analyze is interview data, most commonly in the
form of a transcript from the audio recording of the interview.
To analyze the data collected from student interviews, I will
analyze the interview transcript by carefully reading the
transcript to identify broad themes emerging from the data that
will help answer my research questions. This in-depth, intimate
knowledge and examination of the data will allow me to
categorize themes and ideas that will contribute to my
understanding of the phenomenon under investigation, and
possibly I can find answers to the research questions. The
following are guideposts for analyzing data: identify themes,
develop a coding scheme, code the data, and finally sort the
data by themes (or codes) (Mills, 2018).
Concepts maps are a useful strategy that helps action research
participants visualize the major influences that have affected
the study (Stringer, 1996, as cited in Mills, 2018). For example,
what were the perspectives of the students? Parents? Teachers?

2. Administrators? A concept map gives participants an
opportunity to display their analysis of the problem and to
determine consistencies and inconsistencies that may exist
between the disparate groups. The steps for developing a
concept map include the following:
List the major influences that have affected the study of your
area of focus.
Develop a visual representation of the major influences
(factors) connecting the influences with relationships you know
exist (using solid lines) and influences you have a “hunch”
about (using dotted lines).
Review the concept map to determine any consistencies or
inconsistencies that exist among the influences. This forces you
back to your data to see “what’s missing”.
Connecting the data with personal experiences is appropriate
because action research is about the teacher researcher's
personal teaching practices. The teacher researchers know the
study better than anyone else; after all, they have done it in
their classroom or school and focused on their students.
Interpretations are based on intimate knowledge and
understandings of one's school, classroom, teaching, and
learning (Mills, 2018). The Highland Park teachers used their
prior knowledge of the school's grading system, their students,
and their personal grading practices to interpret the data. A
second technique for data interpretation involves critical
friends. Trusted colleagues may provide the teacher researcher
important insights that might have been originally missed.
Critical friends may also ask questions about the data that assist
the teacher researcher to further clarify the findings. These
colleagues may be people that teacher researcher has never met

3. face-to-face but with whom he/she has talked in action research
chat rooms on the Internet. Similarly, the teacher researcher
may ask their informants (students, parents, teachers, and
administrators) for their insights (Mills, 2018). The Highland
Park teachers worked as a research team to conduct their action
research study. The study's data was interpreted from the team's
multiple perspectives.
References
Mills, G.E. (2018).
Action Research. A Guide for the Teacher Researcher.
Pearson.
Peer2
Data Analysis
Madelen Lopez
Albizu University
Data Analysis
Data analysis refers to the evaluation process of the data
collected logically and analytically to ensure careful
examination of each component of the provided or collected
data. Analyzing data requires accuracy to ensure the results
given out and accurate and reliable. The process also requires
an experienced person with the required skills.
Several steps can be applied in analyzing data from the student

4. at Highland Park High School. One of the essential steps in data
analysis is data preparation; this is mainly the first step in
analyzing data (Mills, 2000). It is vital in establishing whether
data collection was performed according to the highlighted
standards and with no bias. For instance, to make sure that each
student was involved in the interviews, and no other member
was involved or gave out data and was not a student. The next
crucial method is data editing. The information gathered
requires to be accurate and clear to avoid false results. In this
step, there could have some error occurrences when a student is
filling down their data concerning the ARL system. For
instance, filling data where it is not supposed to be filled or
giving incomplete data; this makes the process of analyzing data
simple and easy.
The last step vital in data analysis is data coding. It refers to the
grouping of the data collected for the analyzing process to
occur. The data is grouped according to similarity; those who
are in the same line with the application of the ARL system and
those who think that the system should not be adopted. The
grouping of data involves the assigning of values to the
responses. For instance, a group of students who approve the
same is defined by a specific value.
The use of concept mapping is essential in showing the
relationship between information and ideas. It helps to have a
good understanding or meaning of the data provided. In data
analysis, they are important as they help in analyzing the main
theme in the data analysis. A researcher can discover the
repeated concepts in the data presentation hence analyze the
data accurately. Another significance of concept mapping is
data analysis is to reduce data in a meaningful manner.
Reducing the data implies the elimination of data that cannot be
classified in a specific area during data analysis (Mills, 2000).
It also helps in comparison, highlighting the differences and the
similarities obtained from a specific data set. Concept mapping

5. helps in planning or framing the research project during the data
analyzing process. They give way forward for the next step in
carrying out the research.
The researchers were able to connect the findings of the result
with the students' personal experiences as a way of data
presentation when the researchers found that their students
became less argumentative than the previous years when the
project was not applied (Mills, 2000). It is a data interpretation
technique to illustrate that the students were positive for using
the ARL system in their learning. To seek advice from friends
as a way to interpret data, the researchers sent letters to the
parents of the students explaining the system's use. The
researchers were open to any questions, comments, or concerns
concerning the system (Mills, 2000). It is important to seek
additional data concerning the use of the system that can be
useful.
In conclusion, data analysis and interpretation are essential
steps in carrying out any research. Accurate measures should be
applied in each step to ensure precise and accurate results of the
process. Researches also require data analysis and interpretation
skills to ensure the data collected is not distorted interfered
with.
References
Mills, G. E. (2000). Action research: A guide for the teacher
researcher. Prentice-Hall, Inc., One Lake Street, Upper Saddle
River, New Jersey 07458.