ANALYZING ASSESSMENT DATA

The graduate analyzes assessment data to draw conclusions about students’ progress and address any gaps in learning.
In this task, you will analyze the data set provided via the attached “Data Set
Assignment Form” by reporting summative proficiency scores for students, explaining the method used to determine those scores, and disaggregating the data based
on student subgroups. Then, you will evaluate the data to draw conclusions
about individual student and whole-class proficiency, aberrant patterns or
outliers, and student learning at the subgroup level.
A. Analyze the assessment data from the attached “Data Set Assignment Form” by doing the following:
1. Submit a table reporting an overall summative proficiency score for each student for the measurement topic.
2. Explain how the summative proficiency scores in part A1 were determined.
3. Disaggregate the data according to student subgroups.
B. Evaluate students’ summative scores by doing the following:
1. Draw conclusions about student learning based on patterns of scores at the
individual student and whole-class level.
2. Draw conclusions about any outliers or aberrant patterns present in the data set
at the individual student level.
3. Draw conclusions about student learning at the subgroup level based
on the disaggregated data.
Revision
B3 subgroups
The work duly notes the proficiency level of each subgroup. The evaluation is insufficient because noting the proficiency levels of subgroups does not meet the criteria for conclusions about student learning.