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Non-experimental designs do not have comparison groups. These designs are
used to assess program impact when there is no control or comparison group
available, and usually involve time-series measurement. The soundness of these
designs is affected by the number and timing of measurements. Non-experimental
designs can be used for process evaluations when the primary purpose is to
describe participants' experiences. One of the best ways to determine the
process of change is to compare the groups performance or level of change to a
baseline level established before the program began.
Types of Non-Experimental Designs
- Single Group Pretest-Posttest Design. This design compares the same group
of participants before and after the program. The purpose of the single group
pretest-posttest design is to determine if participants improved after receiving
the program. This design will not indicate, however, whether a program caused
improvement in participants; there is no way to distinguish between changes over
time due to other factors and effects specific to the program.
- Single Group Time-Series Design. This design is similar to the time-series
control group design described previously, except that no control group is used.
It is said that subjects act as their own control group, in that comparisons are
made between different time points for each person. This design is used to look
at changes over time. The evaluator can collect data at regular intervals (e.g.
daily, monthly, weekly) or at staggered time points (called
"interrupted" time-series design).
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Example 5.4: Non-Experiment Design for aTeen Pregnancy Prevention Community
Outreach Program
The United States Air Force FAP Teen Pregnancy program uses infant and
pregnancy simulators to communicate the costs of teen pregnancy and parenting.
Included in the program is training in the following areas: self-esteem, values
clarification, healthy relationships, intimacy without sex, and assertive
communication. The goal is teen pregnancy prevention. It will be offered to
youth group leaders and squadrons on air bases, and later in the schools.
This program could be evaluated using several scenarios. With a single-group
posttest design, rates of teen pregnancy could be calculated for program
recipients, and compared to prior year rates in the same school. Comparing
pregnancy rates to those of same age teens in demographically similar community
schools would be an appropriate comparison.
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Pros and Cons of Non-Experimental Designs
Pro: Single group designs are easier to implement, and less expensive than
experimental, or quasi-experimental designs.
Pro: These designs can serve as pilots, and help identify important variables
related to success in the program.
Con: Often participants are likely to improve over time without intervention
of any kind, and these changes can be mistakenly attributed to the program under
evaluation.
Con: Other events can change (e.g., a new community project is offered)
Bottom line: These designs are the easiest to implement, but the most
difficult to interpret. While evaluators can avoid some of the issues involved
in finding a matching comparison group, it may still be difficult to account for
outside factors that may be responsible for the given results (e.g., the simple
passage of time). However, for certain programs, a non-experimental design may
be the only option. The evaluator may find this design helpful in the beginning
phases of a project to assess needs within a community, or to get a general idea
of what type of program might be helpful. Again, caution must be exercised in
reporting and interpreting the findings, and in avoiding undue inferences about
the "effects" of the program
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