Can a survey improve the climate for faculty?
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1 Can a survey improve the climate for faculty? Kiernan Mathews, Ed.D. Director & Principal Investigator R. Todd Benson, Ed.D. Associate Director, Surveys & Analysis The Collaborative on Academic Careers in Higher Education at the Harvard Graduate School of Education Assessments & Interventions to Improve Diversity among STEM Faculty University of California, Davis April 23, 2014
2 Can a survey improve the climate for faculty? No.
3 Data are impotent they only become potent when somebody in charge wants something to happen. Trower, C. & Honan, J. (2002). How might data be used? In R. Chait, The questions of tenure. Cambridge, MA: Harvard University Press.
4 Data are impotent they only become potent when somebody in charge brings together people who have a stake in the outcome.
5 Outline (1) About COACHE (2) Perspective on climate and diversity (3) Utilizing survey data for greater understanding (4) Moving beyond one campus (5) Other findings
6 COACHE: Making meaning since 2003
7 COACHE on Climate
8 COACHE on Climate Nature of the Work Teaching Research Service Tenure & Promotion Interdisciplinary Work Personal & Family Policies Health/Retirement Benefits Facilities & Work Resources Leadership (Sr./Dean/Dept.) Appreciation & Recognition The Department Collaboration Mentoring Engagement Collegiality Quality Retention & Negotiations
9 COACHE on Diversity
10 Making data potent Understanding the limitations Unpacking the data From quantitative to qualitative
11 Unpacking sense of fit What aspects of faculty life appear to be related to fit? What can we do about sense of fit? Do those aspects vary by race or gender?
12 Sense of fit = Intent to stay 100% 75% 50% 25% 0% Net Dissatisfied Neutral Net Satisfied Sense of Fit in Department How long do you plan to remain at Ten years or more More than five years but less than ten For no more than five years
13 What makes a fit? STEM Faculty: Interaction with colleagues Collaboration Recognition
14 What makes a fit? Hispanic/Latino Faculty: Recognition for different types of work Tenure is decided based on merit Intellectual vitality of pre-tenure faculty Interaction, collaboration w/pre-tenure Mentoring
15 What makes a fit? Other URM Faculty: Recognition for different types of work Mentoring (both sides of equation) Interactions with pre-tenure faculty Leadership on diversity matters
16 Quantitative drives the qualitative Listening tours Focus groups Virtual engagement
17 Effective uses of survey data Process matters Use existing structures Pull, not push Sense-making, not report-writing Developmental conversations Pedestal, not the pillory
18
19 Unintended consequences Faculty engagement Collective sense making Creative problem solving
20 Denied, misused, feared Wrong peers We re a snowflake. Irreconcilable methodologies The data aren t perfect A vote of no confidence What s wrong with them? Statistical gymnastics
21 Making survey data bigger Pass-through variables Customizing questions Qualitative components Assessing impact of interventions
22 It takes a network Share data and convene.
23 Who doesn t respond?
24 Using data for inclusive climates The fallacy of The Faculty Four ranks, not three Vital roles of non-tenure-track faculty Chairs hold the keys Analysis is a social act, co-authorship
25 Coda: Looking ahead Survey Service Faculty Work Institutional Challenges Data Meaning
26 Data are impotent they only become potent when somebody in charge brings together people who have a stake in the outcome.
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