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ACHIEVING RESEARCH
QUALITY
Knowledge Partners consistently
achieves the highest standards of quality and service through carefully
designed procedures that are under continuous review and development.
Ongoing research into research methods is carried out in association with
Henley Management College, other leading business schools and world-class
experts in statistical analysis. This ensures that the best methods are
employed in every project.
Below are set out some of the key stages of the quality process:
Questionnaire design is based on
previously tested survey instruments, and where new item measures are introduced, these are thoroughly pre-tested and piloted
The sample frame is carefully
defined and aligned with the parameters of existing consumer panels to
ensure precise targeting
Thorough validation ensures clear
identification of the phenomena under study and controls possible biases which could distort the research findings
Five types of validity are
typically considered: internal, population, ecological, construct and
statistical conclusion
Appropriate statistical analysis
procedures are carefully selected from the broad range of tools and techniques available and matched with the type of study and the nature of
the data collected
Reliability is carefully
monitored to ensure consistent results that lead to actionable insights
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Delivering
Value
A continuous feedback loop is incorporated into every project to ensure that the assignment stays on track
and delivers the agreed results
Emphasis is placed on delivery of value through clear and concise results that lead to actionable insights
Knowledge
Bank
A wide range of validated survey instruments are available and under continuous development.
This enables rapid project start-up and supports the quality assurance process.
Custom Research Model
Each project has a tailored research
model that is used to capture end-user perspectives and knowledge from sector
experts, design surveys, select the appropriate analysis techniques, perform the
rigorous analysis, form the deliverables, and identify the underlying market
drivers.
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