Data Gathering and Analysis
To continuously improve, we must continually measure. But what should we measure and how should we analyze the results? Whether you already have data or are just starting out, these tools can help you understand how well your placement processes are serving your students.
Considerations for Spring 2020 When Evaluating AB 705
This guide provides colleges with ideas for how to evaluate AB 705 implementation, given the move to a remote instructional environment in spring 2020. As part of AB 705, colleges are required to evaluate the effectiveness of their AB 705 implementations and compare pre- and post-implementation throughput rates. The move to all instruction online due to the coronavirus pandemic will most likely have an effect on the success and completion rates of spring classes, impacting throughput rates for the 2019-2020 academic year.
Additional Resources
Using a Logic Model
A logic model is a planning tool that defines the inputs, program activities and results of a program before you have begun collecting data. Use it to map out how the topic being evaluated is expected to lead to impacts and contribute to student success outcomes, as well as identify questions for further study.
Developing a Data Collection and Analysis Plan
Developing a plan will help you choose the best sources of data to address particular evaluation questions and lay out a plan for how data collection will take place. Use this resource if you have not yet collected data or are updating your data collection and analysis plans.