Equity by DesignJoint CDO & IR/IE Training

Office of Equity & Inclusion

August 12, 2020

Lead Facilitators• Priyank Shah, PhD, Director of Equity Assessment

• Nancy D. Floyd, PhD, Senior System Director for Research

• Josefina Landrieu, PhD, Assistant Chief Diversity Officer

• Tarrence Robertson, OEI Project Director

Agenda• Introductions

• Equity by Design & Data

• Campus Experiences - Equity & Data Implementation

• Data Challenges & Considerations

• Next Steps & Questions

Overview & Agenda

What do you think you need, in terms of training and/or support, to effectively implement Equity by Design at your institution?

Equity by Design Overview & Data

Equity-minded methodology that equips higher education leaders to address educational disparities.

• Data-informed

• Influences organizational change and development

• Prioritizes equity in academic outcomes (student success).

• System-wide implementation (Equity 2030)

Equity by Design - Overview

Elements of Equity by Design

Student-ready

institutions

Leadership philosophy

Localized context

Institutional change

Accountability

Let’s do a quick poll!

Importance of Data

• Examining disparity patterns in student outcomes − Critical for narrowing equity gaps in course level

outcomes

• Relatable & less abstract data− Course level

− Building blocks

• Facilitate process of seeing & understanding disparities

Equity by Design & Data

Aggregate Category • Moving beyond binary analysis: “Student of Color” & “Non-

Student of Color”

• Consideration of tremendously varied experiences & contexts

Imperative for Race/American Indian Disaggregation • New approaches are necessary

• Patterns revealed

• Disparate experiences, engagement, & outcomes

Data Disaggregation

1. Ethnicity Individuals are asked to designate ethnicity as:

• Hispanic or Latino

2. Race Individuals are asked to select 1 or more among following:

• American Indian or Alaska Native

• Asian

• Black or African American

• Native Hawaiian or Other Pacific Islander

• White

IPEDS Two Question Format

Race / Ethnicity Hierarchy: 7 variables 9 reporting possibilities

Nonresident

Alien

Hispanic/

Latino

Report

Yes

No

Report

Yes

No

American

Indian or

Alaskan Native

Asian

Black or

African

American

Native

Hawaiian or

Other Pac.

Islander

White

Report

Yes, to one

Report

Two or

More

Races

Race &

Ethnicity

Unknown

Report

Yes

Discussion, Q & A

Equity & Data Campus Experiences

Wendy Marson Director of Institutional ResearchInver Hills Community College & Dakota County Technical College

Lessons Learned• Figure out the level of understanding across the group about data

• This is an iterative process – every time you introduce a new data set, ensure that your group understands what you’re showing them – no one becomes an expert overnight

• +

• Anticipate very different interpretations of what you may think is straightforward information – everyone’s lens on the data is informed by their unique experiences

• Be prepared to think about the data in different ways – the Diversity Officers and the IR Directors should be talking early and often about the data and how to best help facilitate the discussions around it

• Understand the resistance to the data and try to get to the root cause –it’s often rooted in fear

Narren J. Brown, PhDVice President of Research &

Institutional EffectivenessDean of Faribault Campus

South Central College

Is your goal student success…ours is

Who are the least successful students at your college?

National trends suggest that your least successful students are:Students of Color

First Generation

Pell Eligible

How do these or any combination of these groups succeed at your institution?

18

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Information

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Percentage of Entering Fall Students Taking Dev Ed Math Who Complete in Year 1

2009 2010 2011 2012 2013 2014 2015 2016

Completed Dev Ed Math in Year 1 51.55% 48.48% 50.94% 55.82% 56.81% 59.52% 55.59% 56.68%

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

Information

Data

Percentage of Entering Fall Students Taking Dev Ed Math Who Complete in Year 1 by Gender and Student of Color

2009 2010 2011 2012 2013 2014 2015 2016

Female - Non SOC 57.38% 48.76% 55.39% 66.47% 61.25% 62.07% 54.55% 58.06%

Female - SOC 53.66% 45.83% 47.50% 44.00% 51.79% 49.15% 56.06% 50.79%

Male - Non SOC 48.94% 50.29% 48.15% 54.46% 57.63% 63.22% 55.06% 67.82%

Male - SOC 22.86% 38.24% 39.53% 34.04% 45.83% 58.33% 54.24% 45.90%

0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

70.00%

80.00%Students of Color Complete Dev Ed Math at a lower rate than non SOC

Develop an intervention to improve success for Students of Color in Dev Ed Math

The praxis of creating shared understanding

Discussion, Q & A

Data Challenges & Considerations

Data & Analytics Focus Areas

• Sharing of student information

• Interpretation & leveraging data

What & Why Do We Need to Know?

• Summary level − Retrospective focus for Equity by Design

• Student level

Data Challenges & Considerations

Interpreting Data & Decision Making• Small N’s

− Patterns & Repetition

• Interpretations & Conclusions − Critical Evaluation & Biases

• Reactions & Response − Reflected & Measured

Data Challenges & Considerations

Ethics & Confidentiality • FERPA: Family Educational Rights and Privacy Act 1974

− Protect privacy of student’s academic information

− Certain exemptions for sharing data

− Legitimate education interest & school officials

• Story Telling & Sharing Data− Public sharing of information - Caution

− Highlighting themes & notable patterns

Data Challenges & Considerations

EbD Data

• Data set development

Upcoming EbD Trainings• October 13th (2:00-4:00pm) OR

October 21st (9:30-11:30am)

• November 18th (2:00-4:00pm) ORNovember 23rd (9:30-11:30am)

Next Steps

Campus Next Steps• Review and understand the Equity by Design toolkit

• Refine campus areas of focus & goals

• Conduct capacity building activities (review articles, team and self-reflection, history in context, build equity-minded language)

• Begin equity-minded data inquiry

• Attend Fall 2020 training

Next Steps

Discussion, Q & A

Thank you for your commitment.

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