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We provide a complete range of skills and facilities for
analysing quantitative research data. From simple analysis of cross-tabulations
to the application of some of the most recently developed multivariate
econometric techniques to control for selection bias in quasi-experimental
designs, most of our projects involve statistical methods. We regularly
use numerical and graphical methods to explore and to understand complex
data sets.
Our work often involves models to simulate effects of
planned interventions, such as:
- Estimating health impacts of regulations to reduce
ozone depletion.
- Simulating the effects of alternative structures for
social assistance transfers.
We have extensive
experience in manipulating data from both administrative sources and surveys,
usually merging the two to make optimal use of available information.
Examples include:
- Development of
a Prototype Client Monitoring System, for Human Resources Development
Canada Development of Predictive Models in
the Service and Outcome Measurement System (SOMS), to determine
which services work best for which clients. In related studies, we assessed
the results of test implementations of the system.
- Estimating the
Impact of the Espanola Power Savers Project on demand and consumption
of electricity, for Ontario Hydro, Load Impact
Evaluation of the Espanola Power Savers Project.
- Evaluation of the
Adjustment Assistance Program for refugee immigrants.
- Longitudinal study
of training impacts, for Human Resources Development Canada.
- Evaluation of employability
initiatives for social assistance recipients under the Canadian Jobs
Strategy, for Human Resources Development Canada.
In carrying out the above,
we use either our computers or those of our clients, depending upon the
client's needs for security and efficiency. We also have considerable expertise
in the use of statistical software such as SAS and SPSS to conduct analyses.
We have designed
and reviewed sampling plans and other aspects of statistical design (such
as developing sample frames) for research studies such as:
- Survey of investment
strategies in large Canadian firms for Industry Canada.
- Review of methods
used in the Small Vessel Inventory Household Survey for the Canadian
Coast Guard.
We are also familiar
with Statistics Canada's computing environment, and have processed and analysed
large data files from surveys such as:
- National Apprenticeship
Survey.
- Labour Market Activity Survey.
- Survey of Barriers to Advancement in the Public Service.
- National Survey of Graduates (various years).
TNS Canadian Facts, a TNS Company
© . All Rights Reserved.
900 – 2 Bloor Street East, Toronto, Ontario M4W 3H8
Phone: (800) 268-7115
E-Mail: infocanada@tns-global.com
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