This course provides an overview of longitudinal tracking of students, a research approach that examines or observes the same set of students over time to learn about the effects on one or more study variables.
Fundamentals of Longitudinal Tracking
Designing a Longitudinal Research Study
Preparing Data for Longitudinal Analysis
Task Modules and Exercises
Retention, Graduation and Persistence Rates: Demonstrates how to determine retention, graduation and persistence rates – common indicators of student success.
The Developmental Climb: Examines student progression from one level of remedial math to the next and from developmental to college-level courses.
Enrollment Patterns: Examines how student success interventions affect student success in subsequent academic terms and demonstrates how to appropriately conduct analysis and interpret the results.
Tracking Student Success: Examines how to measure the effect of an intervention on student persistence.
Course Sequence Patterns: Examines student progress through developmental math course sequences over multiple terms.
Designing a Retrospective Study: Demonstrates how to design a retrospective longitudinal tracking study in order to develop the profile of successful students.
Knowledge & Skills Taught
- Developing a research question
- Use of a data dictionary
- Combining multiple data sets
- Checking, editing and recoding data
- Sorting and filtering data
- Creating subsets
- Recoding and collapsing data
- Creating pivot tables (frequency counts) in Excel
- Creating formulas in Excel
- Importing and exporting files between Excel and Access
- Joining data sets in Access by primary key
- Designing queries in Access
- Summarizing data
- Interpreting results
- Creating effective visual displays of data
$700 ($600 for AIR members)
Mar 04 - Apr 28