CEES harnesses the diverse expertise of its staff to apply an
array of research and evaluation methods to answer real world
questions. Using predominantly mixed-method designs, we make use
of a variety of traditional and innovative measures to achieve
the highest level of rigor possible given the fiscal and
logistical boundaries of a given project.
Evaluation Planning and Design
Our staff works with clients to develop logic models, measurable
objectives, timelines and research-based analytic approaches. Our
other planning services include needs assessments, literature
reviews, budget analysis, and proposal development.
Definition of Measurable Objectives
Measurement and Data Collection
CEES can use a variety of outcome measures including existing
validated measures and program or evaluator developed measures.
CEES designs and implements surveys, and conducts interviews,
on-site observation sessions and focus groups to collect key
information with as little program interference as possible. We
have issued paper and electronic surveys for populations ranging
from 4th grade students to university leaders. We seek simplicity
and rigor in all instruments with an emphasis on culturally,
linguistically, and developmentally appropriate language.
Data Cleaning and Access
Secondary Data Analysis
CEES staff have expertise in a variety of statistical methods to
analyze data and make reliable inferences and recommendations.
CEES uses the statistical analysis that best fits the evaluation
design and data. Commonly applied methods include multi-level
modeling (HLM), regression and factor analysis, as well as
summary or descriptive statistics.
To see examples of these methods in our reports and projects,