Stage
2 - Data Collection
The data collection stage of an evaluation project includes
the two basic process steps of data acquisition and data analysis.
Data collection makes use of tools and techniques such as surveys,
observations, interviews/focus groups, review of teacher/student
work, and public meetings. All data is keyed to the performance
indicators created by the district evaluation committee. For example,
if an indicator of high achievement in teacher use of technology
is that teachers will use electronic mail to communicate with peers
outside of the district, then data is needed which shows the amount
as well as qualitative substance of teacher email communications.
This might include technical logs (e.g., how often do teachers
access their email accounts); teacher surveys to determine how
often email is used and for what; and teacher interviews to determine
the value placed upon email communication. All of this quantitative
and qualitative data is used to determine a level of overall achievement
in the indicator rubric. A similar logic would be used to measure
achievement with any set of indicators.
Here, it is worth mentioning that while data collection might
take place at the individual level of performance, individual data
it should never be reported. The mission of a district-wide evaluation
is to determine the progress of the district as a group of individuals
in meeting its goals. Nothing will undermine an evaluation project
faster than the perception that it is measuring or ranking individuals.
If individual assessments are important, these should be developed
and administered separate from your district technology evaluation.
There are a variety of tools useful for data collection. You might
find it useful to view some sample data collection
tools such as an online teacher survey, classroom observation template,
and teacher focus group questions. These, and other samples are
found on our Tools page.
Next Steps
While data collection is the most time-consuming part of evaluation,
it is actually not the most important. Rather, all the activity
(and expense!) of data collection is validated by how that data
is used. Applying your data to the rubrics developed in Stage
1 is the focus of Stage 3 - Recommending and
Reporting.
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