Sampling Training Outline
Full
Day Seminar: Overview
This
training will assist the applied evaluator in acquiring the skills
necessary to apply sampling techniques. A
full day will give the class sufficient time to interact with the
material, especially the examples from real world applications and to
practice sampling techniques in class. No
statistical background is required for this seminar. Math anxiety a plus!
Training
Objective: The training uses lecture, handouts, examples and interactive
class and group exercises to help participants learn how, when and why to
sample for evaluation projects.
Instructor:
Lois
W. Sayrs, Ph.D.
Outline:
Introduction
and Background (2 hours)
- Purpose
of sampling in applied research
- Typical
uses of sampling on audits (brief examples)
- Theory
of Sampling for Auditing and Evaluation
- Probability
theory/sampling distributions
- Populations
and sampling frames
- Determining
sample size
- Risk
and sample precision
- Confidence
level
- Variance
- Steps
in determining sample size
Types
of Samples (4 hours)
- When
to generalize
- Probability
sampling
- Attribute
sampling
- Variable
sampling
- Discovery
sampling
- Acceptance
sampling
- Work
sampling
- Multi-minute
measurement
- Extended
cycle analysis
- Fractioned
professional estimates
- Probability
sample designs
- Random
- Systematic
- Stratified
- Cluster
- Multi-stage
- Helpful
shortcuts when probability sampling is required
- Adjusting
the sampling strategy through weighting
- When
generalization is not required
Application
of Sampling to Applied Issues: Case Studies (1 hour)
(I
would like to send these case studies out ahead of time so the class has
time to read them for a basic familiarity.)
- Tale
of three audits
- Probability
example
- Non
probability #1
- Non
probability #2
Troubleshooting
(1 hour)
- Current
workload sampling issues and problems (optional time spent helping
your auditors troubleshoot their current or proposed work;
recommended time 1-2 hours depending upon need.
|