The name is absent

Actors

Cost-effectiveness

Efficiency

Accuracy

Timeliness

Decision-makers and
policymakers

Understand importance of using
current information in decision-
making and willing to assist data
providers in setting/maintaining data
collection priorities.

Willing to provide both moral
and administrative support to
data systems recommended by
technical managers.

Value high-quality data and insist on
statements of data accuracy being
made available to data users.

Insistence on timely
information coupled with a
willingness to support the
data collection system.

Data system managers

Able to provide policymakers with
realistic estimates of time and
materials necessary to collect various
types of information. Able to reject
requests for low priority, non-
essential data.

Well organized and able to
make decisions on most efficient
mix of programs and personnel.

Actively seek to minimize non-
sampling errors and sampling errors
through sound training and survey
design.

Dedicated to providing high-
quality information in a time
frame that meets the needs of
the data users.

Technical support:
statisticians, computer
programmers, etc.

Able to choose the most appropriate
data collection methods for a variety
of information needs.

Able to correctly analyze
various survey options and
select most appropriate data
collection method.

Use "total survey design" techniques
to minimize both sampling and non-
sampling errors. Encourage
probability surveys whenever
feasible.

Able to design surveys that
meet the accuracy and
timeliness criteria.

A d m i n i s t rat i v e
support

A^ware of th^e importance of
administrative support to produce
high-quality data.

Able to facilitate the required
logistical support.

Acknowledge importance of
administrative support in elimination
of non-sampling errors.

Understand the importance
^of providing timely
administrative support.

Data collection staff:
supervisors and
enumerators

Well trained in the various data
collection techniques. Dedicated to
the collection of high-quality data
under adverse conditions.

Motivated to provide the most
accurate data in the most timely
manner.

Fully trained in importance of
following survey plans. Must remain
vigilant in the collection of high-
quality data—rejecting short cuts or
falsification of data.

Dedicated employees willing
and able to collect high-
quality data as required to
meet time constraints.

Data handlers and
c o m p u t e r
programmers

Able to make realistic estimates of
processing requirements and to
process data quickly with minimal
errors.

Knowledgeable of various
computer software packages and
equipped at an appropriate level.

Recognize importance of following
survey plans. Maintain exacting
standard of data handling. Do not
hesitate to question entries, return to
field for verification.

Able to input, clean, and
summarize survey data
within the prescribed time
requirements.

Data analysts

Thoroughly understand current
economic and political climates as
well as available data sets; able to
provide meaningful data analysis.

Well trained in various data-
analysis techniques and equipped
with appropriate hardware.

Knowledgeable of the biases present
in various data sets. Able to explain
and publish information on a data
sets' accuracy.

Reviews data and prepares
reports that provide
requested information within
prescribed time.