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Longitudinal Analysis. Setting up your Data Mart for Cohort-Based Longitudinal Analysis. Christopher M. Johnson, PhD Director of Research & Development.

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Presentation on theme: "Longitudinal Analysis. Setting up your Data Mart for Cohort-Based Longitudinal Analysis. Christopher M. Johnson, PhD Director of Research & Development."— Presentation transcript:

1 Longitudinal Analysis. Setting up your Data Mart for Cohort-Based Longitudinal Analysis. Christopher M. Johnson, PhD Director of Research & Development Pat Chakravarty, Research Analyst Renton Technical College

2 Overview Tracks students by cohorts Disaggregates students by demographics Developed with existing tools and a very small budget Rapid prototyping system Expand its features statewide 3/16/20102Chris Johnson & Michelle Andreas

3 Features Goals of Longitudinal Analysis – Pinpoint intervention areas – Identify trends Cohort definitions – Loose - any group you want to look at with given characteristics (example, students who visited the Math lab) – Strict - Forward looking study - a group of students with characteristics that start at some point together. – Really Strict. IPEDS definition - First time, Degree Seeking, Fall t o Fall, etc. (about 5 percent of Fall enrollment) – Retrospective - take a group and looking backwards, for example, 2010 graduates. 3/16/20103Chris Johnson & Michelle Andreas

4 The Reports Reports - Standard vs. Ad hoc Analysis – Result tables - Course Enrollment, Program (plus other cohorts), Student Profile - allow for quick analysis. – Program - by Core Courses (other possibilities, CIP, EPC, etc.) – Standard Look and Feel With training & support from Institutional Research May be too detailed, but trying to get people to do own drilldown and familiarize themselves Ad hocs are mainly cross tabs. 3/16/20104Chris Johnson & Michelle Andreas

5 Results 41% of Full-Time Employees Easy access expands culture of evidence Open door policy and faster response Important research questions from “fishing trips” Regular training on access and use Feedback loop between Research & Staff 3/16/20105Chris Johnson & Michelle Andreas

6 Rapid Prototype of State Project 3/16/20106Chris Johnson & Michelle Andreas

7 Enhancements New types of data. Expansion to whole campus Automation of Reports (stepwise) Phased Move from Development Environment to a Production Environment (Access to SQL Server) Developing Business Logic Feedback Loop 3/16/20107Chris Johnson & Michelle Andreas

8 Thank you! Any Questions? Public version of the Retention Model at – http://www.rtc.edu/AboutUs/ResearchDevelopment/Reports/ http://www.rtc.edu/AboutUs/ResearchDevelopment/Reports/ – Click on Interactive Cohort Retention Report (in MS Excel 2007)Interactive Cohort Retention Report Contact – Chris Johnson, Director of Research & Development. (425) 235-2352 x5713 cjohnson@RTC.educjohnson@RTC.edu – Pat Chakravarty, Research Analyst. (425) 235-2352 x5713 pchakravarty@RTC.edu pchakravarty@RTC.edu 3/16/20108Chris Johnson & Michelle Andreas


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