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Evaluating
Systems
Approaches to
Wellbeing
Ben Pollard
Director, Student Experience Evaluation and Research Unit
Director, Strategic Initiatives, VPSO, UBC
1
Introduction
 What are people hoping to get out of today?
 Current roles and interests
 Past Experience with evaluation
2
Overview
 Overview of “normal” evaluation
 Logic of change in individual focused social
programming
 Building a shared understanding of the outcomes
we are trying to achieve, and the logic of what we
are doing to achieve it
 And how we will know whether we are being
successful
 Systems thinking
 Evaluation in a complex policy area
 Evaluating Policy and Culture initiatives
 What are we trying to achieve?
 How would we know if we are achieving it?
 How do we know if what we are doing is achieving
it?
3
Shortest
overview of
evaluation
ever
 Types of Evaluation
 Summative
 Formative
 Developmental
 How we can do it
 Range of approaches
 Action research to Randomized ControlTrials
 How we are going to talk about it today:
 Agnostic on “best way” – the best way is the one that
answers the questions that you have, in a way that you
and your stakeholders can trust to the level that can
help you make the best decision
 Your context, with broader context
 Support learning from others, but recognize that much
of this is going to be context specific
 Importance of benchmarks – so you know if your 70% is
bad
4
“Evaluative
thinking” in a
complex
social policy
environment
YOU ARE GOINGTO GET IT
WRONG…
SO LEARN QUICKLY*
*Applies to both your interventions, and your
evaluation approach
5
Key tool:
the general
logic model
for
individual-
focused
interventions
Input or
Individuals
Activity
and
outputs
Immediate
individual
outcomes
Individual
Long-term
outcomes
Population
Outcomes
6
What are the
Population
outcomes we
are trying to
achieve with
wellbeing
initiatives in
a post-
secondary
setting?
 At the POPULATION OUTCOMES level
 How would we know whether we are achieving
those outcomes?
 What data do we have?
 What data do we need?
 Brief table discussion
7
General
Types of
Population
Outcomes
 Within the post-secondary setting:
 Academic outcomes
 Wellbeing outcomes
 Organizational outcomes
 Career outcomes (for staff/faculty)
 Post-post-secondary
 Life outcomes for students
 Societal outcomes
8
Population
Outcomes
data
 Surveys?
 Administrative data?
 Research projects?
9
Activity
evaluation
for individual
focused
initiatives
 Program/intervention level evaluation, e.g.:
 Quality
 Relevance
 Satisfaction
 Effectiveness at driving the short term outcomes
 Brief discussion of program level evaluations
 Who regularly does these?
 What tools do they use?
 What are some best practices?
10
Building the
links
Activity
and
outputs
Immediate
individual
outcomes
Individual
Long-term
outcomes
Population
Outcomes
11
Building the
links
 Drivers of outcomes
 Connections and drivers
 Can lead to mid level measures to simplify
evaluation
 X changes y, y is more likely to lead to desired
outcome
 Do more x, and ensure it achieves change in y
 E.g. more connections on campus leads to sense of
belonging leads to improved mental health leads to
improved academic and life success
 Based on one time connection, or knowledge from
literature
 Farther out you go, the more factors affect
achievement of outcomes
12
What works
for who?
Input or
Individuals
Activity
and
outputs
Input or
Individuals
Activity
and
outputs
Immediate
individual
outcomes
Individual
Long-term
outcomes
Population
Outcomes
13
Program
impact on
population
outcomes
If the world was easy… just a question of math
Number of participants in program X
Program outcomes for that participant group
= Population level outcomes
14
Discussion
 Who has done a logic model for their programs?
 Benefits of doing a logic model
 Issues/barriers to doing so
 Have you ever “run the math” for your Executive?
15
Wellbeing
Break
16
But, the
world isn’t
easy.
Input or
Individuals
Activity
and
outputs
Input or
Individuals
Activity
and
outputs
Immediate
individual
outcomes
Individual
Long-term
outcomes
Population
Outcomes
Culture
Policy
Environment
Physical
Environment
Fiscal
Environment
Access to
Services
Competing
Priorities
External
Factors
17
Why think
about
systems?
 Interconnectedness of different components
 Key to being collectively effective, especially on
population outcomes
 Addresses non-program issues which can be
barriers or causes to try and turn them into
supports
 If one frog was sick, we would treat the frog. If
every frog in a pond was sick, we would treat the
pond
 Opens up other avenues for addressing issues, of
individuals within systems
 Especially in post-secondary situations, where the
population changes every 5-7 years
18
Ways of
thinking
about
systems
 Activity focused models
 Healthy University self-assessment checklist
 ISO style approach
 At this level, doesn’t show you whether they are
good or not
 BUT – useful for some – e.g. fiscal environment;
availability of wellbeing supports; physical
environment, etc.
 And those can be evaluated in other ways
 Deep interconnected contingent models
 Down the rabbit hole
 Can lead to paralysis if not directed well
 Understand interconnected driver models
 E.g. Structural Equation model approach
 OR, assume interconnection, look to your ability to
influence where there are fundamental
opportunities, and learn as you go
19
AnSEM
Driver model
of Immigrant
Belonging
20
Another one:
Visible
Minority
Trust in
Community
21
Today’s
Focus:
Culture and
Policy
 In many ways, they are fundamental
 Other pieces of the system (funding, built
environment, activities, etc.) can flow from cultures
and policy
 Interlinked
 Culture can drive policy change
 Policy can drive culture change
22
Assessing
Policy
 Understanding policy framework
 Types of policy (rule vs. suggestion vs. norm vs.
strategic direction vs. strategic program direction)
 Levels of policy (external, corporate, local)
 Differentiating between statement of policy and
enactment of policy
 And enactment of unstated policy (strongly linked
to culture)
 Assessing key components of policy and their
impacts on key desired outcomes
 Evaluating approaches to changing policy and its
enactment
 Evaluating net impacts of initiative to changing
policy and its enactment
23
Challenges in
assessing
policy
 Challenge #1 – unless the target individual has had
direct interaction in a bad situation, they will not
knowWHICH policy is affecting them
 Can’t ask them “What do you think of policy #14?”
 Look to the EFFECT of the policy that is driving the
issue
 Can have target assess effect – e.g. stress related to
exam schedules can point to policies around exam
scheduling
 Challenge #2: Implicit/murky policies – may not be
clear that there is a capital P policy, but a strong
practice-based policy
 Challenge #3: Enactment - need to look at policies
in PRACTICE, rather than just policies in word
 Challenge #4: Interactions of policies –start looking
at NET, and then tease apart which particular ones
are driving
24
An
alternative
logic model
for assessing
policy
Policies
Implementers
Understanding
and Enacting
(i.e. how it
impacts their
behaviour)
Policy
Environment
created by the
Implementer’s
enactment of
the Policies
Impact on
target
group
25
Opportunities
to Evaluate
Policy
 Quality of policy itself
 Technical reading – does it give the tools, is it clear
enough, does it clearly state purpose, etc.
 Power/ability to address the issue
 Implementers understanding and enacting
 Policy translation
 Look for unintended consequences
 Things that don’t go with the PURPOSE of the policy,
or have bad interaction effects with other policies
 Implementers perception of the policy framework for
supporting the policy intentions/or the issue of
interest (i.e. wellbeing)
 Individuals perception of the effects
 Go backwards
 Ask about the drivers and issues affecting their
wellbeing, and then move backwards to address
whether it is an enacting issue or an issue with the policy
itself.
26
Assessing
policy
CHANGE
 Look at it before and after policy change
 Change in how policy implementers act?
 Change in how target group perceives?
 Attribution issues
 Is it just a natural change happening?Try a control
group or ask for direct attribution
27
Trying it out
 Think of a policy you would like to make to support wellbeing
 Make one up – your fantasy policy to improve wellbeing
 What is it intended to do?
 How will it work?
 What levers does it use?
 Who or what is the intended target?What changes do you want to
see in the target?
 Who is going to implement?
 Example:
 Policy to require Senate proposals to have completed a wellbeing
checklist
 Intention: build curriculum that is supportive of/not detrimental to
student wellbeing and student learning
 How it will work logic: Intended to increase consideration of
wellbeing in curriculum design leading to wellbeing-supporting
academic programs leading to better student wellbeing and
student learning outcomes.
 LEVER: Mandated checklist form/Senate requirement
 Intended target: curriculum designer; real consideration of
wellbeing
 Implementer: Senate
 10 minutes at your table
28
And pass it to
another table
 How would you assess its implementation and its
effectiveness?
 What factors would you have to consider in your
evaluation?
 What questions would you ask, and to who?
 And are there other data you would want to know if
it is effective?
 How would you address attribution issues – is it this
causing the effect?
29
Discussion
30
Wellbeing
Break
31
Assessing
Culture
 Understanding culture
 What do we mean by a culture of wellbeing?
 Dimensions of culture
 Different sub-cultures
 Assessing key components of culture and their
impacts on key desired outcomes
 Evaluating approaches to changing culture
 Evaluating net impacts of initiatives to change
culture
32
Discussion
 What is a culture of wellbeing?
 What are the dimensions of that culture?
 How does that culture fit with/compete with other
cultures?
33
Issues and
approaches
to assessing
culture
 A person can be in many cultures at once
 Different people interpret the same culture
differently
 Culture in a vacuum
 Social response bias in some direct questions
 Need for comparative value
 Manifestation of Culture
 How are people walking the talk
 Culture may not always be clearly EXPRESSED, or
understood in its expression, but it is often clearly
FELT
34
Cultural
InfluencerRocks,
ripples and
the shore Activity
Individual
and
Population
Outcomes
Culture
Student
Student
Student
Cultural
Influencer
Cultural
Members
35
Types of
activities
 Directed attempts at changing the culture through
influencers.
 Broad public education/messaging to change
culture
 Types of levers of influence:
 Build understanding of importance
 Build understanding of how to
 Incentivize
 Requirements
 Tone setting
36
Assessing
Culture:
Ask the shore
(students,
staff, faculty,
etc.)
 Culture is the sum of all the rocks and ripples…So
ask the shore what the waves feel like
 Direct questions
 Culture
 Supports
 Priorities on campus (comparative)
 Indirect questions
 The types of things you would expect someone who
is in the culture to say if there is a culture of
wellbeing
 Sense of belonging
 Community
 Supported to succeed
 Confident in ability to succeed
 Link to personal, population and organizational
outcomes
37
Example of
building the
links to
organizational
outcomes…
 Strongest predictor of willingness to
recommend UBC: Feeling that you
belong on campus
 There is a strong correlation between feelings of
belonging on campus and willingness to
recommend UBC to others (r = .707, p < .001)
1% 2% 7% 9%
25%
84%
6%
14%
18%
37%
63%
12%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Strongly
Disagree
Disagree Somewhat
Disagree
Somewhat
Agree
Agree Strongly
Agree
I feel that I belong at this campus
AllYear Levels: I would encourage others to enroll
at UBC
Agree
Strongly Agree
38
Assessing
changes to
Culture
 Pre/Post
 If something dramatic/large scale, can do
perception, and perception of change related to
that intervention
 Over time, look for different patterns
 Recognizing that for students at least, will be a
substantially different cohort
39
Assessing
Cultural
Influencers
Stage
 What we think cultural influencers should do?
 Believe it is important
 Understand their role in influencing culture
 Act like it is important/take actions that reflect a
commitment to wellbeing and reflect their role in
culture
 Be supported in incorporating wellbeing
 SIZE OF ROCK ANDTHE EXTENT OFTHE RIPPLE
 how much influence each has on culture
 How much they believe and act on it
 And can they move other cultural influencers
 People can be both the target and an influencer
 Link to culture perceptions by the shore
40
How to
measure
Cultural
Influencers
 Direct measures
 Ask them about it
 Survey
 Key informant interview (also a cultural intervention)
 Relative importance questions
 Surprisingly honest
 To what extent do they consider wellbeing of their
community?
 And, if applicable, in their decision making?
 Actions they have taken to promote
 Triangulating measures
 Perception of cultural influencers and how they enact
culture
 Values, beliefs, actions
 N.B.: Perception of cultural influencers and resulting
culture is going to be driven both by word and by
action
 If broad public communication is not taken up, rings
hollow
41
Assessing
NET change
to cultural
influencers
over time
 Cultural influencers can change as a result of many
different interventions, and their own evolution
 Over time, monitor
 Perceptions
 Values
 Actions
 And same for triangulation by shore
(students/staff/faculty)
 Attribution issues
 Is it just a natural change happening?Try a control
group or ask for direct attribution
42
Assessing
activities to
affect culture
 Modified Kirkpatrick model
 Reaction
 Learning
 Behaviour
 Change (usually measured in terms of change in the
environment/organization/culture later)
43
Evaluating
Reaction
 Satisfaction measures
 Relevancy/usefulness measures
 Process measures
 Felt it was tailored for/spoke to them
 Try to use a common set across different
implementations and different types of activities to
facilitate understanding of best practice, and what
is working for who.
 Different for broad public education or comms
strategies, but can be done in a similar way
 Assessment of quality of campaign
 Assessment of visibility of campaign
 Assessment of whether or not it “spoke to them”
 Assessment of whether or not it rang true
44
Measuring
Learning
 If distinct, testable learning outcomes, use those.
 IF NOT…
 Self-perception of learning
 For cultural influencers, can include:
 Belief it is important
 Understanding of the issue, and what they can do
to affect
 “Post-hoc pre-post”
 Self assessment of the gains that they have made,
based on where they were when they started, and
where they are now
 Allows for measures of GAIN
 Addresses the issue of preaching to the choir
 Different for broad public education or comms
strategies, but can be done in a similar way
 Focus on whether they feel it gave them new
information/new understanding
45
Example of
“Post-hoc
Pre-Post”
46
Measuring
Behaviour
 Set a baseline: prior to intervention, ask them about
their behaviour
 Done the types of action you were hoping for?
 Immediate outcomes: predicted behaviour
 Likelihood that they will do something different as a
result of the intervention; do the type of behaviour you
were hoping they would
 Whether they are more likely to do this behaviour than
they would have before the training
 Different for broad public education or comms
strategies, but can be done in a similar way for
immediate outcomes
 Will they answer the “call to action”
 Longer term – 3 months, 6 months, 12 months
 Ask them about their behaviour (if they have done the
prior to…
 if they have done anything different
 Pre-post on the perception of the influencer’s behavior
by the shore…
47
Evaluating
Culture
Activity
 Develop an intervention to develop a culture of
wellbeing… or choose one that you are already
trying
 Spell out the logic of how you believe it will shift
culture, and the effect that that shift will have on
the personal and population wellbeing outcomes
 Write it down
 10 minutes
48
And pass it to
the right.
 How would you evaluate the proposed approach?
 Write out an evaluation plan, showing the steps you
would take.
 How would you measure effectiveness?
 How would you address attribution issues?
 30 minutes
49
Discussion
50
Final
Thoughts
 Apply evaluative thinking, but don’t get hung
up on perfection
 YOUARE GOINGTO GET ITWRONG… SO LEARN
QUICKLY*
 *Applies to both your interventions, and your
evaluation approach
 Support learning across, and aggregation of results
 Build tools that support comparison
 Common and specific components
 Don’t overdo it.You can get into some serious
rabbitholes in getting the PERFECT evaluation.
 And your results may not hold in the next version,
given the number of factors at play in complex
 There are many off the shelf that you can modify to
your needs
 Be constantly learning and adjusting.
51
A quick pitch
 UBC would like to work with other institutions
across BC to develop a student population
wellbeing tool that provides a combination of
epidemiological and more conceptually linked data
(e.g. culture of wellbeing, broader outcomes)
designed to support wellbeing initiatives, and
better comparative data across BC and Canada
 Opportunity for tailoring by institution
 And cheaper too!
52
Questions?
53

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Evaluation of Settings and Whole Systems Approaches

  • 1. Evaluating Systems Approaches to Wellbeing Ben Pollard Director, Student Experience Evaluation and Research Unit Director, Strategic Initiatives, VPSO, UBC 1
  • 2. Introduction  What are people hoping to get out of today?  Current roles and interests  Past Experience with evaluation 2
  • 3. Overview  Overview of “normal” evaluation  Logic of change in individual focused social programming  Building a shared understanding of the outcomes we are trying to achieve, and the logic of what we are doing to achieve it  And how we will know whether we are being successful  Systems thinking  Evaluation in a complex policy area  Evaluating Policy and Culture initiatives  What are we trying to achieve?  How would we know if we are achieving it?  How do we know if what we are doing is achieving it? 3
  • 4. Shortest overview of evaluation ever  Types of Evaluation  Summative  Formative  Developmental  How we can do it  Range of approaches  Action research to Randomized ControlTrials  How we are going to talk about it today:  Agnostic on “best way” – the best way is the one that answers the questions that you have, in a way that you and your stakeholders can trust to the level that can help you make the best decision  Your context, with broader context  Support learning from others, but recognize that much of this is going to be context specific  Importance of benchmarks – so you know if your 70% is bad 4
  • 5. “Evaluative thinking” in a complex social policy environment YOU ARE GOINGTO GET IT WRONG… SO LEARN QUICKLY* *Applies to both your interventions, and your evaluation approach 5
  • 6. Key tool: the general logic model for individual- focused interventions Input or Individuals Activity and outputs Immediate individual outcomes Individual Long-term outcomes Population Outcomes 6
  • 7. What are the Population outcomes we are trying to achieve with wellbeing initiatives in a post- secondary setting?  At the POPULATION OUTCOMES level  How would we know whether we are achieving those outcomes?  What data do we have?  What data do we need?  Brief table discussion 7
  • 8. General Types of Population Outcomes  Within the post-secondary setting:  Academic outcomes  Wellbeing outcomes  Organizational outcomes  Career outcomes (for staff/faculty)  Post-post-secondary  Life outcomes for students  Societal outcomes 8
  • 10. Activity evaluation for individual focused initiatives  Program/intervention level evaluation, e.g.:  Quality  Relevance  Satisfaction  Effectiveness at driving the short term outcomes  Brief discussion of program level evaluations  Who regularly does these?  What tools do they use?  What are some best practices? 10
  • 12. Building the links  Drivers of outcomes  Connections and drivers  Can lead to mid level measures to simplify evaluation  X changes y, y is more likely to lead to desired outcome  Do more x, and ensure it achieves change in y  E.g. more connections on campus leads to sense of belonging leads to improved mental health leads to improved academic and life success  Based on one time connection, or knowledge from literature  Farther out you go, the more factors affect achievement of outcomes 12
  • 13. What works for who? Input or Individuals Activity and outputs Input or Individuals Activity and outputs Immediate individual outcomes Individual Long-term outcomes Population Outcomes 13
  • 14. Program impact on population outcomes If the world was easy… just a question of math Number of participants in program X Program outcomes for that participant group = Population level outcomes 14
  • 15. Discussion  Who has done a logic model for their programs?  Benefits of doing a logic model  Issues/barriers to doing so  Have you ever “run the math” for your Executive? 15
  • 17. But, the world isn’t easy. Input or Individuals Activity and outputs Input or Individuals Activity and outputs Immediate individual outcomes Individual Long-term outcomes Population Outcomes Culture Policy Environment Physical Environment Fiscal Environment Access to Services Competing Priorities External Factors 17
  • 18. Why think about systems?  Interconnectedness of different components  Key to being collectively effective, especially on population outcomes  Addresses non-program issues which can be barriers or causes to try and turn them into supports  If one frog was sick, we would treat the frog. If every frog in a pond was sick, we would treat the pond  Opens up other avenues for addressing issues, of individuals within systems  Especially in post-secondary situations, where the population changes every 5-7 years 18
  • 19. Ways of thinking about systems  Activity focused models  Healthy University self-assessment checklist  ISO style approach  At this level, doesn’t show you whether they are good or not  BUT – useful for some – e.g. fiscal environment; availability of wellbeing supports; physical environment, etc.  And those can be evaluated in other ways  Deep interconnected contingent models  Down the rabbit hole  Can lead to paralysis if not directed well  Understand interconnected driver models  E.g. Structural Equation model approach  OR, assume interconnection, look to your ability to influence where there are fundamental opportunities, and learn as you go 19
  • 22. Today’s Focus: Culture and Policy  In many ways, they are fundamental  Other pieces of the system (funding, built environment, activities, etc.) can flow from cultures and policy  Interlinked  Culture can drive policy change  Policy can drive culture change 22
  • 23. Assessing Policy  Understanding policy framework  Types of policy (rule vs. suggestion vs. norm vs. strategic direction vs. strategic program direction)  Levels of policy (external, corporate, local)  Differentiating between statement of policy and enactment of policy  And enactment of unstated policy (strongly linked to culture)  Assessing key components of policy and their impacts on key desired outcomes  Evaluating approaches to changing policy and its enactment  Evaluating net impacts of initiative to changing policy and its enactment 23
  • 24. Challenges in assessing policy  Challenge #1 – unless the target individual has had direct interaction in a bad situation, they will not knowWHICH policy is affecting them  Can’t ask them “What do you think of policy #14?”  Look to the EFFECT of the policy that is driving the issue  Can have target assess effect – e.g. stress related to exam schedules can point to policies around exam scheduling  Challenge #2: Implicit/murky policies – may not be clear that there is a capital P policy, but a strong practice-based policy  Challenge #3: Enactment - need to look at policies in PRACTICE, rather than just policies in word  Challenge #4: Interactions of policies –start looking at NET, and then tease apart which particular ones are driving 24
  • 25. An alternative logic model for assessing policy Policies Implementers Understanding and Enacting (i.e. how it impacts their behaviour) Policy Environment created by the Implementer’s enactment of the Policies Impact on target group 25
  • 26. Opportunities to Evaluate Policy  Quality of policy itself  Technical reading – does it give the tools, is it clear enough, does it clearly state purpose, etc.  Power/ability to address the issue  Implementers understanding and enacting  Policy translation  Look for unintended consequences  Things that don’t go with the PURPOSE of the policy, or have bad interaction effects with other policies  Implementers perception of the policy framework for supporting the policy intentions/or the issue of interest (i.e. wellbeing)  Individuals perception of the effects  Go backwards  Ask about the drivers and issues affecting their wellbeing, and then move backwards to address whether it is an enacting issue or an issue with the policy itself. 26
  • 27. Assessing policy CHANGE  Look at it before and after policy change  Change in how policy implementers act?  Change in how target group perceives?  Attribution issues  Is it just a natural change happening?Try a control group or ask for direct attribution 27
  • 28. Trying it out  Think of a policy you would like to make to support wellbeing  Make one up – your fantasy policy to improve wellbeing  What is it intended to do?  How will it work?  What levers does it use?  Who or what is the intended target?What changes do you want to see in the target?  Who is going to implement?  Example:  Policy to require Senate proposals to have completed a wellbeing checklist  Intention: build curriculum that is supportive of/not detrimental to student wellbeing and student learning  How it will work logic: Intended to increase consideration of wellbeing in curriculum design leading to wellbeing-supporting academic programs leading to better student wellbeing and student learning outcomes.  LEVER: Mandated checklist form/Senate requirement  Intended target: curriculum designer; real consideration of wellbeing  Implementer: Senate  10 minutes at your table 28
  • 29. And pass it to another table  How would you assess its implementation and its effectiveness?  What factors would you have to consider in your evaluation?  What questions would you ask, and to who?  And are there other data you would want to know if it is effective?  How would you address attribution issues – is it this causing the effect? 29
  • 32. Assessing Culture  Understanding culture  What do we mean by a culture of wellbeing?  Dimensions of culture  Different sub-cultures  Assessing key components of culture and their impacts on key desired outcomes  Evaluating approaches to changing culture  Evaluating net impacts of initiatives to change culture 32
  • 33. Discussion  What is a culture of wellbeing?  What are the dimensions of that culture?  How does that culture fit with/compete with other cultures? 33
  • 34. Issues and approaches to assessing culture  A person can be in many cultures at once  Different people interpret the same culture differently  Culture in a vacuum  Social response bias in some direct questions  Need for comparative value  Manifestation of Culture  How are people walking the talk  Culture may not always be clearly EXPRESSED, or understood in its expression, but it is often clearly FELT 34
  • 35. Cultural InfluencerRocks, ripples and the shore Activity Individual and Population Outcomes Culture Student Student Student Cultural Influencer Cultural Members 35
  • 36. Types of activities  Directed attempts at changing the culture through influencers.  Broad public education/messaging to change culture  Types of levers of influence:  Build understanding of importance  Build understanding of how to  Incentivize  Requirements  Tone setting 36
  • 37. Assessing Culture: Ask the shore (students, staff, faculty, etc.)  Culture is the sum of all the rocks and ripples…So ask the shore what the waves feel like  Direct questions  Culture  Supports  Priorities on campus (comparative)  Indirect questions  The types of things you would expect someone who is in the culture to say if there is a culture of wellbeing  Sense of belonging  Community  Supported to succeed  Confident in ability to succeed  Link to personal, population and organizational outcomes 37
  • 38. Example of building the links to organizational outcomes…  Strongest predictor of willingness to recommend UBC: Feeling that you belong on campus  There is a strong correlation between feelings of belonging on campus and willingness to recommend UBC to others (r = .707, p < .001) 1% 2% 7% 9% 25% 84% 6% 14% 18% 37% 63% 12% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Strongly Disagree Disagree Somewhat Disagree Somewhat Agree Agree Strongly Agree I feel that I belong at this campus AllYear Levels: I would encourage others to enroll at UBC Agree Strongly Agree 38
  • 39. Assessing changes to Culture  Pre/Post  If something dramatic/large scale, can do perception, and perception of change related to that intervention  Over time, look for different patterns  Recognizing that for students at least, will be a substantially different cohort 39
  • 40. Assessing Cultural Influencers Stage  What we think cultural influencers should do?  Believe it is important  Understand their role in influencing culture  Act like it is important/take actions that reflect a commitment to wellbeing and reflect their role in culture  Be supported in incorporating wellbeing  SIZE OF ROCK ANDTHE EXTENT OFTHE RIPPLE  how much influence each has on culture  How much they believe and act on it  And can they move other cultural influencers  People can be both the target and an influencer  Link to culture perceptions by the shore 40
  • 41. How to measure Cultural Influencers  Direct measures  Ask them about it  Survey  Key informant interview (also a cultural intervention)  Relative importance questions  Surprisingly honest  To what extent do they consider wellbeing of their community?  And, if applicable, in their decision making?  Actions they have taken to promote  Triangulating measures  Perception of cultural influencers and how they enact culture  Values, beliefs, actions  N.B.: Perception of cultural influencers and resulting culture is going to be driven both by word and by action  If broad public communication is not taken up, rings hollow 41
  • 42. Assessing NET change to cultural influencers over time  Cultural influencers can change as a result of many different interventions, and their own evolution  Over time, monitor  Perceptions  Values  Actions  And same for triangulation by shore (students/staff/faculty)  Attribution issues  Is it just a natural change happening?Try a control group or ask for direct attribution 42
  • 43. Assessing activities to affect culture  Modified Kirkpatrick model  Reaction  Learning  Behaviour  Change (usually measured in terms of change in the environment/organization/culture later) 43
  • 44. Evaluating Reaction  Satisfaction measures  Relevancy/usefulness measures  Process measures  Felt it was tailored for/spoke to them  Try to use a common set across different implementations and different types of activities to facilitate understanding of best practice, and what is working for who.  Different for broad public education or comms strategies, but can be done in a similar way  Assessment of quality of campaign  Assessment of visibility of campaign  Assessment of whether or not it “spoke to them”  Assessment of whether or not it rang true 44
  • 45. Measuring Learning  If distinct, testable learning outcomes, use those.  IF NOT…  Self-perception of learning  For cultural influencers, can include:  Belief it is important  Understanding of the issue, and what they can do to affect  “Post-hoc pre-post”  Self assessment of the gains that they have made, based on where they were when they started, and where they are now  Allows for measures of GAIN  Addresses the issue of preaching to the choir  Different for broad public education or comms strategies, but can be done in a similar way  Focus on whether they feel it gave them new information/new understanding 45
  • 47. Measuring Behaviour  Set a baseline: prior to intervention, ask them about their behaviour  Done the types of action you were hoping for?  Immediate outcomes: predicted behaviour  Likelihood that they will do something different as a result of the intervention; do the type of behaviour you were hoping they would  Whether they are more likely to do this behaviour than they would have before the training  Different for broad public education or comms strategies, but can be done in a similar way for immediate outcomes  Will they answer the “call to action”  Longer term – 3 months, 6 months, 12 months  Ask them about their behaviour (if they have done the prior to…  if they have done anything different  Pre-post on the perception of the influencer’s behavior by the shore… 47
  • 48. Evaluating Culture Activity  Develop an intervention to develop a culture of wellbeing… or choose one that you are already trying  Spell out the logic of how you believe it will shift culture, and the effect that that shift will have on the personal and population wellbeing outcomes  Write it down  10 minutes 48
  • 49. And pass it to the right.  How would you evaluate the proposed approach?  Write out an evaluation plan, showing the steps you would take.  How would you measure effectiveness?  How would you address attribution issues?  30 minutes 49
  • 51. Final Thoughts  Apply evaluative thinking, but don’t get hung up on perfection  YOUARE GOINGTO GET ITWRONG… SO LEARN QUICKLY*  *Applies to both your interventions, and your evaluation approach  Support learning across, and aggregation of results  Build tools that support comparison  Common and specific components  Don’t overdo it.You can get into some serious rabbitholes in getting the PERFECT evaluation.  And your results may not hold in the next version, given the number of factors at play in complex  There are many off the shelf that you can modify to your needs  Be constantly learning and adjusting. 51
  • 52. A quick pitch  UBC would like to work with other institutions across BC to develop a student population wellbeing tool that provides a combination of epidemiological and more conceptually linked data (e.g. culture of wellbeing, broader outcomes) designed to support wellbeing initiatives, and better comparative data across BC and Canada  Opportunity for tailoring by institution  And cheaper too! 52