ADVANCE Institutional Indicators

1. ADVANCE Institutional Indicators Janet E. Malley University of Michigan

2. ADVANCE Institutional Indicators Three objectives: • Collect data • Analyze data • Affect policy

3. Data Collection Create data collection processes useful to Advance and to the Institution • Facilitates institutionalization • Broader impact Use data already available • Cost effective • Facilitates institutionalization

4. Institutional Data Institutional Data at UM • Plusses • A lot! • Readily accessible • Minuses • Not research data

5. Understand Limitations of Data • administrative purposes • salary distribution -- not salary equity • quantitative • limited qualitative information (e.g., space) • timeliness • changes not immediate (e.g., promotions) • terminology • same term/different meanings • different terms/same meaning

6. Using Institutional Data to ask Research Questions • Understand it and its limitations • Seek supplementary/confirmatory info • Be aware of “local cultures” • Numbers problem

7. Example: Salary equity analysis • Understand it and its limitations • salary rates (9 vs 12 months) • coding of ‘time in rank’ • Seek supplementary/confirmatory info • department rosters • dean’s office • Be aware of “local cultures” • Math ‘assistant professors’

8. Example: Attrition analysis • Understand it and its limitations • misleading “reasons for termination” • termination vs. leave of absence • Seek supplementary/confirmatory info • from other faculty • Be aware of “local cultures”

9. Example: Space allocation analysis • Understand it and its limitations • actual vs recorded space use • information beyond square footage • Seek supplementary/confirmatory info • from departments • from faculty • Be aware of “local cultures” • e.g., graduate student space

10. Implications for University Policy • Salary • regression analysis • ’white-male-only’ model • Attrition • need for exit interviews • Space • need new models for analyses