Concept Mapping:
An Introduction to
Structured
Conceptualization
William Trochim
Cornell University
What is concept mapping?
A method that...
Focuses and helps objectify the group
planning process
Helps individuals think as a group...
...without losing their individuality
Helps groups to manage complexity...
...without trivializing or losing detail
In about 4 hours of participant time a
group can...
...Brainstorm a large set of issues...
• innovations in way network is delivered
• (investigate) corporate/structural alignment
• assist in the development of non-traditional partnerships (Rehab with the
Medicine Community)
• expand investigation and knowledge of PSN'S/PSO's
• continue STHCS sponsored forums on public health issues (medicine
managed care forum)
• inventory assets of all participating agencies (providers, Venn Diagrams)
• access additional funds for telemedicine expansion
• better utilization of current technological bridge
• continued support by STHCS to member facilities
• expand and encourage utilization of interface programs to strengthen the
viability and to improve the health care delivery system (ie
teleconference)
• discussion with CCHN
brainstorm
• innovations in way network is delivered
• (investigate) corporate/structural alignment
• assist in the development of non-traditional partnerships (Rehab with the
Medicine Community)
• expand investigation and knowledge of PSN'S/PSO's
• continue STHCS sponsored forums on public health issues (medicine
managed care forum)
• inventory assets of all participating agencies (providers, Venn Diagrams)
• access additional funds for telemedicine expansion
• better utilization of current technological bridge
• continued support by STHCS to member facilities
• expand and encourage utilization of interface programs to strengthen the
viability and to improve the health care delivery system (ie teleconference)
• discussion with CCHN
sort
Decide how to
manage
multiple tasks.
20
Manage resources effectively.
4
Work
quickly and
effectively
under
pressure
49
Organize the
work when
directions are
not specific.
39
...organize the
issues...
rate
brainstorm
• innovations in way network is delivered
• (investigate) corporate/structural alignment
• assist in the development of non-traditional partnerships (Rehab with the
Medicine Community)
• expand investigation and knowledge of PSN'S/PSO's
• continue STHCS sponsored forums on public health issues (medicine
managed care forum)
• inventory assets of all participating agencies (providers, Venn Diagrams)
• access additional funds for telemedicine expansion
• better utilization of current technological bridge
• continued support by STHCS to member facilities
• expand and encourage utilization of interface programs to strengthen the
viability and to improve the health care delivery system (ie teleconference)
• discussion with CCHN
…”map” the issues...
organize
sort
Decide how to
manage multiple
tasks.
20
Manage resources effectively.
4
Work quickly
and effectively
under pressure
49
Organize the work
when directions are
not specific.
39
Information Services
rate
Technology
Community & Consumer Views
Regionalization
Management
Financing
STHCS as model
• better utilization of current technological bridge (8)
• expand and encourage utilization of interface programs to strengthen the
viability and to improve the health care delivery system (ie
teleconference) (10)
• patient information system to be shared by all members (19)
• the STHCS will assess the status of all participant organization interface
technology development and needs (20)
• teleconference board meeting (21)
• development of interface technology (30)
• continued advancement of tech interface (44)
• assure 100% board member access to wide area network (46)
• utilize the televideo telecommunication, telemedicine to share
resources/strengths (50)
• establishment of a virtual network -- as an intranet originally and
eventually an internet solution (61)
Information Services
Technology
Community & Consumer Views
Regionalization
Financing
Management
STHCS as model
brainstorm
• innovations in way network is delivered
• (investigate) corporate/structural alignment
• assist in the development of non-traditional partnerships (Rehab with the
Medicine Community)
• expand investigation and knowledge of PSN'S/PSO's
• continue STHCS sponsored forums on public health issues (medicine
managed care forum)
• inventory assets of all participating agencies (providers, Venn Diagrams)
• access additional funds for telemedicine expansion
• better utilization of current technological bridge
• continued support by STHCS to member facilities
• expand and encourage utilization of interface programs to strengthen the
viability and to improve the health care delivery system (ie teleconference)
• discussion with CCHN
Information Services
organize
Technology
sort
Decide how to
manage multiple
tasks.
20
Community & Consumer Views
Manage resources effectively.
4
Work quickly
and effectively
under pressure
49
Organize the work
when directions are
not specific.
39
Regionalization
rate
map
Information Services
Technology
Community & Consumer Views
Regionalization
Financing
Management
Management
Mission & Ideology
STHCS as model
Financing
...prioritize the issues...
brainstorm
• innovations in way network is delivered
• (investigate) corporate/structural alignment
• assist in the development of non-traditional partnerships (Rehab with the
Medicine Community)
• expand investigation and knowledge of PSN'S/PSO's
• continue STHCS sponsored forums on public health issues (medicine
managed care forum)
• inventory assets of all participating agencies (providers, Venn Diagrams)
• access additional funds for telemedicine expansion
• better utilization of current technological bridge
• continued support by STHCS to member facilities
• expand and encourage utilization of interface programs to strengthen the
viability and to improve the health care delivery system (ie teleconference)
• discussion with CCHN
Counties 1 & 2
County 3
4.23
4.4
Mission & Ideology
Mission & Ideology
organize
Decide how to
manage multiple
tasks.
20
Financing
Financing
sort
Technology
Regionalization
Manage resources effectively.
4
Work quickly
and effectively
under pressure
49
Organize the work
when directions are
not specific.
39
Regionalization
Management
Information Services
Information Services
Management
Community & Consumer Views
rate
Community & Consumer Views
Technology
map
Information Services
3.55
3.56
Technology
r = .72
Community & Consumer Views
Regionalization
prioritize
Information Services
Technology
Community & Consumer Views
Management
STHCS as model
Financing
Regionalization
...examine consensus...
Financing
Management
Mission & Ideology
brainstorm
• innovations in way network is delivered
• (investigate) corporate/structural alignment
• assist in the development of non-traditional partnerships (Rehab with the
Medicine Community)
• expand investigation and knowledge of PSN'S/PSO's
• continue STHCS sponsored forums on public health issues (medicine
managed care forum)
• inventory assets of all participating agencies (providers, Venn Diagrams)
• access additional funds for telemedicine expansion
• better utilization of current technological bridge
• continued support by STHCS to member facilities
• expand and encourage utilization of interface programs to strengthen the
viability and to improve the health care delivery system (ie teleconference)
• discussion with CCHN
Feasibility
5
organize
sort
Decide how to
manage multiple
tasks.
20
Manage resources effectively.
4
76
75
25
Work quickly
and effectively
under pressure
49
33
34
Organize the work
when directions are
not specific.
39
2.6
62
22
37
10
17
1
45
1.8
rate
1.2
2.47
map
Information Services
…and “drill back down” to
details for prioritizing action
Technology
Community & Consumer Views
prioritize
Regionalization
Information Services
Technology
4.23
Community & Consumer Views
Management
Importance
4.4
STHCS as model
Financing
Regionalization
3.55
Financing
Management
Mission & Ideology
r = .72
3.56
4.8
Concept Mapping Process
Concept Mapping (Sorting input)
To organize the issues
Measurement (Rating input)
To observe expectations and results
Pattern Matching and Go Zones
To link expectations and results, importance and capacity
Concept Mapping to organize
Uses information from individuals to:
•
•
•
•
identify group shared vision
represent group ideas pictorially
encourage teamwork
facilitate group decision making
To begin…
1. Prepare Project: Develop a focus
“A specific issue that is relevant to
the mental health of women and
girls is . . ."
...focus
Participants Contribute Knowledge and Opinion
1. Prepare Project
• Body image issues- (breast size, hair
color/texture, nose, other physical features
vs external valuation of "beauty"). (9)
• The development and evaluation of Internetbased interventions that can be accessed by
women anywhere, anytime. (31)
• The impact of race, ethnicity, culture, class,
sexual orientation and age on the
expression of symptoms. (54)
• Lack of encouragement and opportunity at
the elementary, middle and high school
levels for career opportunities that girls can
aspire to. (61)
• Lack of parity for mental health care
coverage. (102)
2.
Generate Ideas
Participants Build the Conceptual Framework
1. Prepare Project
sort
Decide
how to
manage
multiple
tasks.
20
Organize
the work
when
directions
are not
specific.
39
Manage resources
effectively.
4
Work
quickly
and
effectively
under
2. Generate Ideas
3. Structure Ideas
rate
The Process Turns Knowledge into Data
1. Prepare Project
Technology
Community &
Consumer Views
Financing
Informatio
n Services
Regionalization
Management
Mission
&
Ideology
Area 1
Area 2
4.22
Mission & Ideology
Financing
Financing
Regionalization
Technology
Management
Regionalization
Information Services
Information Services
Community &
Consumer
Technology
3.47
2. Generate Ideas
4.4
Mission & Ideology
Management
r = .51
Community &
Consumer
3.56
3. Structure Ideas
4. Compute Maps
And Data Into Meaning
1. Prepare Project
Technical
Issues
Processes/
Methodology
Graphical User
Interface
Documentation
Client Issues
Change
Control
Personal Awareness
& Skill
Team Issues
Management
2. Generate Ideas
5. Interpret Maps
3. Structure Ideas
4. Compute Maps
Meaning Into Action, Policy, and Evaluation
1. Prepare Project
6. Utilize Maps
Area 1
Area 2
4.22
Mission & Ideology
Mission & Ideology
Financing
Financing
Regionalization
Technology
Management
Regionalization
Information Services
Information Services
Community & Consumer Views
Management
Technology
3.47
5. Interpret Maps
2. Generate Ideas
4.4
Community & Consumer Views
r = .51
3.56
3. Structure Ideas
4. Compute Maps
The emerging structure…
Workforce
Transportation
Housing Continuum
Capacity of
Community Services
Caregiving
Special Needs
& Mental Health
Access to Benefits
Gerotechnology Communication
Impairments
Economic
Security
Attitudes
Towards
Aging
Engaged
Lifestyle
…contains all the details and provides a conceptual framework.
How Did We Build These Results?
• The Raw Materials:
– Statements
– Sort Input from each participant
• The Tools
–
–
–
–
–
Aggregation of Sort Data
Similarity Matrix
Multidimensional Scaling
Hierarchical cluster analysis
Anchoring/Bridging Analysis
Representation
Sort for one participant
Binary, square
similarity matrix
Total square
similarity matrix
across participants
Multidimensional Scaling
5
1
2
4
0
1
1
3
1
0
1
5
0
0
0
1
0
0
2
0
2
0
5
3
0
0
0
0
0
0
4
0
3
5
0
0
0
0
0
0
0
0
0
0
5
0
0
2
0
0
1
1
0
0
0
5
0
0
4
0
1
0
0
0
0
0
5
0
0
0
3
0
0
0
2
0
0
5
0
0
1
2
0
0
0
4
0
0
5
0
0
0
0
0
0
0
0
0
0
5
Input: A square matrix of
relationships among a set
of entities
13
3
17
16
22
24
23
27
43
12
50
25
38
26
52
8
44
6
36
37
18
41
29
30
34
7
35
51
47
31
42
10
Output: An n-dimensional
mapping of the entities
54
28
33
45
32
14
39
1
40
49
4
20
48
55
46
56
19
53
11
15
21
5
9
Multidimensional Scaling
Similarity Matrix
1
2
3
1
5
1
2
2
1
5
0
If 4 out of 5 people grouped
statement 1 with 2
3
2
0
5
If 3 out of 5 people
grouped statement 1 with
2
If 2 out of 5 people
grouped statement 1
with 2
1
If 1 out of 5 people
grouped statement 1
with 2
If 0 out of 5 people grouped
statement 1 with 2
Multidimensional Scaling
Similarity Matrix
1
2
3
1
5
1
2
2
1
5
0
3
2
0
5
2
1
Multidimensional Scaling
Similarity Matrix
1
2
3
1
5
1
2
2
1
5
0
3
2
0
5
3
2
1
3
Multidimensional Scaling
Similarity Matrix
1
2
3
4
1
5
1
2
4
2
1
5
0
0
3
2
0
5
3
4
4
0
3
5
3
2
4
1
Multidimensional Scaling
Similarity Matrix
1
2
3
4
1
5
1
2
4
2
1
5
0
0
3
2
0
5
3
4
4
0
3
5
y
3
A map can be
depicted as a
coordinate matrix
1
2
3
4
Coordinate
Matrix
x
y
2.8
1.0
5.9
3.2
1.1
3.2
1.9
1.3
2
4
1
x
Multidimensional Scaling
Similarity Matrix
1
2
3
4
1
5
1
2
4
2
1
5
0
0
3
2
0
5
3
4
4
0
3
5
y
3
A map can be
depicted as a
coordinate matrix
1
2
3
4
Coordinate
Matrix
x
y
2.8
1.0
5.9
3.2
1.1
3.2
1.9
1.3
2
c
4
1
b
a
x
And from the
coordinates we can
compute the
distances between
all pairs of points
a2 + b2 = c2
a = difference between x values
b = difference between y values
c = distance
Multidimensional Scaling
Distance Matrix
Similarity Matrix
1
2
3
4
1
5
1
2
4
2
1
5
0
0
3
2
0
5
3
4
4
0
3
5
y
1
2
3
4
3
A map can be
depicted as a
coordinate matrix
1
2
3
4
Coordinate
Matrix
x
y
2.8
1.0
5.9
3.2
1.1
3.2
1.9
1.3
1
0.0
3.2
2.8
1.1
2
3.2
0.0
4.8
4.6
3
2.8
4.8
0.0
2.1
4
1.1
4.6
2.1
0.0
2
4
1
And can show these
as a matrix of
distances between
points
x
And from the
coordinates we can
compute the
distances between
all pairs of points
a2 + b2 = c2
a = difference between x values
b = difference between y values
c = distance
Multidimensional Scaling
Stress
Similarity Matrix
1
2
3
4
1
5
1
2
4
2
1
5
0
0
3
2
0
5
3
4
4
0
3
5
y
3
A map can be
depicted as a
coordinate matrix
1
2
3
4
Coordinate
Matrix
x
y
2.8
1.0
5.9
3.2
1.1
3.2
1.9
1.3
Distance Matrix
Is the relationship
between the
similarity input
matrix and the
distances on the
map
1
2
3
4
1
0.0
3.2
2.8
1.1
2
3.2
0.0
4.8
4.6
3
2.8
4.8
0.0
2.1
4
1.1
4.6
2.1
0.0
2
4
1
And can show these
as a matrix of
distances between
points
x
And from the
coordinates we can
compute the
distances between
all pairs of points
a2 + b2 = c2
a = difference between x values
b = difference between y values
c = distance
Multidimensional Scaling
Stress
Similarity Matrix
1
2
3
4
1
5
1
2
4
2
1
5
0
0
3
2
0
5
3
4
4
0
3
5
Is the relationship
between the
similarity input
matrix and the
distances on the
map
Similarities
1,1
1,2
1,3
1,4
2,2
2,3
2,4
3,3
3,4
4,4
5
1
2
4
5
0
0
5
3
5
Distance Matrix
1
2
3
4
1
0.0
3.2
2.8
1.1
Distances
Low stress values
means there is a
greater
correspondence
between the
similarities and the
map
1,1
1,2
1,3
1,4
2,2
2,3
2,4
3,3
3,4
4,4
0.0
3.2
2.8
1.1
0.0
4.8
4.6
0.0
2.1
0.0
2
3.2
0.0
4.8
4.6
3
2.8
4.8
0.0
2.1
4
1.1
4.6
2.1
0.0
Multidimensional Scaling
• Directionality
– Does MDS know North from South?
• Dimensionality
– Why only two dimensions?
• Stress
– How much does it really matter?
Cluster Analysis
• Hierarchical
– clusters get built in a tree-like method
• Agglomerative
– builds toward all items in one pile (divisive - all
start in one and divide)
• Clustering criterion
– the rule used to decide the next cluster merge
– Ward’s algorithm
• Number of Clusters
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
Number of Clusters
1
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
Number of Clusters
1
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
Number of Clusters
1
2
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
9 + 10
Number of Clusters
1
2
3
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
9 + 10
(1 + 6) + 8
Number of Clusters
1
2
3
4
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
9 + 10
(1 + 6) + 8
3+4
Number of Clusters
1
2
3
4
5
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
9 + 10
(1 + 6) + 8
3+4
2 + (9 + 10)
Number of Clusters
1
2
3
4
5
6
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
9 + 10
(1 + 6) + 8
3+4
2 + (9 + 10)
((1 + 6) + 8)) + (3 + 4)
Number of Clusters
1
2
3
4
5
6
7
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
9 + 10
(1 + 6) + 8
3+4
2 + (9 + 10)
((1 + 6) + 8)) + (3 + 4)
(5 + 7) + ((2 + (9 + 10))
Number of Clusters
1
2
3
4
5
6
7
8
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
Cluster Analysis
7
5
8
1
9
10
6
2
3
4
Merge Points Merged
1+6
5+7
9 + 10
(1 + 6) + 8
3+4
2 + (9 + 10)
((1 + 6) + 8)) + (3 + 4)
(5 + 7) + ((2 + (9 + 10))
(((1 + 6) + 8)) + (3 + 4)) +
(5 + 7) + ((2 + (9 + 10))
Number of Clusters
1
2
3
4
5
6
7
8
9
1
10
9
8
7
6
5
4
3
2
1
6
8
3
4
7
5
9
10
2
What is the Bridging Value?
tells you whether the statement was
sorted with others that are close to it on
the map or whether it was sorted with
items that are farther away on the map.
The Bridging Value
• Helps us interpret what content is
associated with specific areas of the map
• Statements with lower bridging values are
generally better indicators of the meaning
of their part of the map than statements
with higher bridging values
• Statements with higher bridging values
means statement is a bridge between
different areas on map
Compute Bridging Values
• A bridging value always ranges from 0
to 1
• The bridging values are computed after
the map is computed.
• The cluster bridging value is simply the
average bridging value across all
statements in a cluster.
Bridging Value, Step 1
1. We begin by computing the proportion of sorters who
put point i and j together in a pile:
pij 
sij
m
where
sij = number of sorters who placed point i and j together in
the same pile
m = total number of sorters
pij = proportion of sorters who placed point i and j together
in the same pile
Bridging Value, Step 2
2. We compute the Euclidean Distance between all pairs
of standardized points:
d ij  ( xi  x j ) 2  ( yi  y j ) 2
Where
xi = MDS x-coordinate for point i
yi = MDS y-coordinate for point i
xj = MDS x-coordinate for point j
yj = MDS y-coordinate for point j
dij = standardized Euclidean Distance between points i and j
Bridging Value, Step 3
3. We compute the unstandardized bridging value:
n
bi  
j 1
( pij * d ij )
n
p
j 1
ij
where
bi = bridging raw value for point i
pij = proportion of sorters who placed point i and j
together in the same pile
dij = standardized Euclidean Distance between points i
and j
Bridging Value, Step 4
4. Normalize the bridging raw value:
bi  min( b)
bi 
max( b)  min( b)
Where
bi
min(b)
max(b)
bi
=
=
=
=
bridging raw value for point i
minimum of the bi values
maximum of the bi values
standardized bridging value
Sort Pile Label Analysis
• finds the “best fitting” sort pile label for
a cluster
• done after the map is computed
• based on centroid computations
Sort Pile Label Analysis
What is a centroid?
3
43
Y
50
36
41
37
X
Sort Pile Label Analysis
What is a centroid?
3
43
Y
50
36
41
37
X
Sort Pile Label Analysis
What is a centroid?
Average Y
3
43
50
36
X
41
37
Average X
Sort Pile Label Analysis
13
3
2
16
43
27
22
50
18
12
25
x36
37
24
23
17
26
52
8
44
6
x
38
41
Cluster
Centroid
29
distance
Pile
Centroid
51
47
31
7
42
10
45
33
28
32
14
39
50, 36, 43, 3,
13, 16, 29
34
35
54
Your Pile:
30
1
40
49
4
48
46
56
19
20
55
53
11
15
21
5
9
Sort Pile Label Analysis
• Every cluster has a centroid
• Every sort pile has a centroid
– the average x,y for all items in the pile
– this is the best location on the map for the
pile label
– can compute the distance between this
label and any other point on the map
• For each cluster
– compare distance between its centroid and
each sort pile centroid
– best sort pile label is the closest one
Cluster Map with Labels
Workforce
Transportation
Special Needs
& Mental Health
Housing Continuum
Capacity of
Community Services
Caregiving
Access to Benefits
Impairments
Gerotechnology
Economic Security
Communication
Attitudes Towards Aging
Engaged Lifestyle
Importance
Housing
Continuum
Workforce
Capacity of
Community Services
Transportation
Caregiving
Access to
Benefits
Special Needs
& Mental Health
Impairments
Communication
Gerotechnology
Attitudes Towards Aging
Layer
Value
1
3.62 to 3.79
2
3.79 to 3.95
3
3.95 to 4.12
4
4.12 to 4.29
5
4.29 to 4.46
Engaged Lifestyle
Economic
Security
Feasibility
Housing Continuum
Workforce
Transportation
Caregiving
Capacity of
Community Services
Access to
Benefits
Special Needs
& Mental Health
Communication
Gerotechnology
Impairments
Attitudes
Towards
Aging
Layer
Value
1
2.98 to 3.11
2
3.11 to 3.23
3
3.23 to 3.35
4
3.35 to 3.47
5
3.47 to 3.59
Economic
Security
Engaged Lifestyle
Importance
Importance
4.46
Economic Security
Housing
Continuum
Workforce
Access to Benefits
Transportation
Workforce
Capacity of Community Services
Impairments
Caregiving
Communication
Housing Continuum
Special Needs & Mental Health
Capacity of
Community Services
Transportation
Caregiving
Special Needs
& Mental Health
Communication
Gerotechnology
Impairments
Attitudes Towards Aging
Attitudes Towards Aging
Gerotechnology
Engaged Lifestyle
3.62
Access to
Benefits
Layer
Value
1
3.62 to 3.79
2
3.79 to 3.95
3
3.95 to 4.12
4
4.12 to 4.29
5
4.29 to 4.46
Engaged Lifestyle
Economic
Security
Feasibility
Feasibility
3.59
Communication
Housing Continuum
Workforce
Transportation
Caregiving
Capacity of
Community Services
Special Needs
& Mental Health
Access to
Benefits
Transportation
Communication
Gerotechnology
Impairments
Attitudes
Towards
Aging
Layer
Value
1
2.98 to 3.11
2
3.11 to 3.23
3
3.23 to 3.35
4
3.35 to 3.47
5
3.47 to 3.59
Economic
Security
Engaged Lifestyle
Engaged Lifestyle
Impairments
Special Needs & Mental Health
Capacity of Community Services
Attitudes Towards Aging
Gerotechnology
Workforce
Caregiving
Housing Continuum
Access to Benefits
Economic Security
2.98
Importance vs. Feasibility
Importance
Feasibility
4.46
3.59
Economic Security
Communication
Access to Benefits
Transportation
Workforce
Capacity of Community Services
Impairments
Caregiving
Communication
Housing Continuum
Special Needs & Mental Health
Transportation
Engaged Lifestyle
Impairments
Special Needs & Mental Health
Capacity of Community Services
Attitudes Towards Aging
Gerotechnology
Workforce
Attitudes Towards Aging
Caregiving
Housing Continuum
Access to Benefits
Economic Security
Gerotechnology
Engaged Lifestyle
3.62
r = -.27
2.98
Comparing each Unique Statement on
Importance and Feasibility: Go Zones
High
the number of senior community
centers in outer boroughs and
their ability to handle influx (1)
Feasibility
1
3
2
research funding for Alzheimer's (4)
4
Low
Low
Importance
High
affordable opportunities for recreation / entertainment/ socialization for seniors,
including access to fitness and wellness programs (3)
homecare services during holidays and vacations (2)
Cluster mean of each
scale is used to divide
the matrix
Features of Concept Mapping
• guides project throughout life-cycle -
beginning to end
• involves many stakeholder groups
throughout the entire training life-cycle
• easily scalable and transferable
• uses state-of-the-art analytical tools to
provide rigor and credibility
Benefits of Concept Mapping
• visual product is easy to understand
and present
• identifies disconnects before significant
investments are made
• offers significant cost savings while
improving the quality of project