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.
We encourage institutional research, planning and effectiveness professionals to explore four broad and overlapping areas of inquiry with an equity lens throughout:
- Comparison of course outcome rates
- Comparison of remote instruction
- Throughput rates for English, math and credit ESL
- Instructor effects
Using a Fishbone Diagram
A fishbone diagram can help you identify barriers to Equitable Placement and Completion, based on data you have already created. This type of root cause analysis identifies where improvement is needed and helps develop more successful objectives for improvement.
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.
Assigning Roles and Responsibilities
This worksheet helps teams identify the activity that is being planned, as well as the various personnel who will lead and assist throughout the particular phase or project.
Having a timeline ensures planning and activities proceed in an orderly fashion for institutions who have or have not collected data. This resource provides suggestions and a worked example.
Defining Questions, Measures and Predictions
This resource helps define questions, measures and predictions for integration that drive data collection and analysis based on specific objectives.
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.
Prioritizing Problems of Practice
A problem of practice is an issue that a college is struggling with or an area in which it would like to make improvements. This resource offers suggestions for identifying issues that need to be addressed first.