Evaluation Plan Guidance Page 59
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68EVALUATION PLAN GUIDANCE
SOCIAL INNOVATION FUND
Statistical Technique
Description
Data Requirements
Sample Application
theories of causal relationships between variables. This
continuous variable (and the models may
which relationships are causally most
model allows for statistically accounting for the effects of
include more continuous or categorical
important?
multiple factors on a single outcome. A model that is
variables as well).
used to describe both the size and directionality of the
relationship between predictor variables and an outcome
variable. This model allows for statistically accounting
for the effects of multiple factors on a single outcome.
Structural Equation
A modeling technique that takes into account observed
Continuous variables that are outcomes of
Can the outcome of increased college
Modeling
(or measured) variables and latent (or unmeasured)
interest, such as test scores, number of
matriculation be assessed taking into
variables by specifically modeling measurement error. It
days in a program, or number of visits to
account both known characteristics, such
is used to examine causal relationships between
a health care provider, and at least one
as test scores and parental education, as
variables taking into account the influence of
continuous variable (and the model may
well as unobserved measures, such as
unmeasured variables.
include more continuous or categorical
motivation and ambition?
variables as well).
C.10
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