Part 3: Seek Information Form
Now that you have identified an issue or problem to examine, it is time to decide how to collect and analyze the data to determine the alignment between the written vision and mission and the area of interest that you intend to improve
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You will determine what data to collect, based primarily on what is most relevant to validate your identified problem as it relates to social justice and equity (this data should confirm that the problem you have identified is the actual problem.
· What data will inform your identified problem (e.g., assessment data from students in gifted/AP/special education programs, discipline referrals, etc.)?
· What data are needed to analyze the gaps in the mission and vision as each relates to equity and social justice? (What do you want to measure?)
· Are these data readily available? If not, what collection method should be employed to gather the data (CAEP A.1.1;)?
Use 2-3 data collection methods (A.1.1;) and choose the most appropriate to your identified contextual issue/problem to determine the gaps and challenges related to the school need you identified that reflect the diversity of the school community. Gaps are determined by synthesizing the differences between the results the school is getting with its current processes, and the results the school wants to get. Data analysis helps schools understand how they got their current results, and what it will take to eliminate the gaps.
Think critically about the relationship between the data source you are collecting and how it may identify the problem. Write a rationale in the chart for the choice of the data source.
Examples
of data collection include:
· Surveys and questionnaires (teachers, students, parents, employers, community members, etc.)
· Interviews or focus groups
· Observations of actual instructional practices and student responses
· Alternative assessments (e.g., work samples, portfolios, senior projects and performance tasks)
· Standardized test scores
Data Collection Chart
Types of Data |
Qualitative/Quantitative |
Rationale for Adoption of Data Collection Method |
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Research Rubric:
Element
Advanced (90-100%)
Proficient (80-89%)
Emerging
Candidate demonstrates mastery of research methodologies by collecting a variety of data sources (CAEP A1.1b) A.1.1 Candidates for advanced preparation demonstrate their proficiencies to understand and apply knowledge and skills appropriate to their professional field of specialization so that learning and development opportunities for all P12 are enhanced through: b• Use of research and understanding of qualitative, quantitative and/or mixed methods research methodologies.
Candidate uses a diverse array of appropriate data sources that align to the candidate’s identified contextual issue/problem.
Candidate demonstrates master of utilizing a variety of data methods related to candidate’s identified contextual issue/problem.
Candidate offers an insufficient amount of data collection to accurately identify the issue/problem.
Candidate demonstrates ability to describe a rationale (CAEP A.1.1a) A.1.1 Candidates for advanced preparation demonstrate their proficiencies to understand and apply knowledge and skills appropriate to their professional field of specialization so that learning and development opportunities for all P-12 are enhanced through: a. Applications of data literacy;
Candidate provides an evidenced-based rationale for the method of data that confirms that the problem that the Candidate has identified is actually a problem worthy of analysis. The rationale describes how the data collected informs the identified problem by making explicit connections between the collected data and factors related to the problem; narrative references multiple forms of evidence from the data to describe and exemplify why the data collected was needed to analyze the gaps in the mission and vision as each relates to equity, inclusiveness and cultural responsiveness.
Candidate demonstrates ability to provide a rationale for the selection of the data that describes how the data collected informs the identified problem; describes why the data collected was needed to analyze the gaps in the mission and vision as each relates to equity, inclusiveness and cultural responsiveness.
Candidate’s rationale for the selection of the data provides insufficient evidence, is confusing and/or lacking in describing how the data collected informs the identified problem; does not describe why the data collected was needed to analyze the gaps in the mission and/or vision as each relates to equity, inclusiveness and cultural responsiveness.
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