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Pre-Experimental Designs

In pre-experimental designs, either a single group of participants or multiple groups are observed after some intervention or treatment presumed to cause change. Although they do follow some basic steps used in experiments, pre-experimental designs either fail to include a pretest, a control or comparison group, or both; in addition, no randomization procedures are used to control for extraneous variables. Thus, they are considered “pre-,” indicating they are preparatory or prerequisite to true experimental designs. Pre-experimental designs represent the simplest form of research designs. Together with quasi-experimental designs and true experimental (also called randomized experimental) designs, they make the three basic categories of designs with an intervention. Each contains subdesigns with specific strengths and weaknesses.

Because the validity of pre-experimental designs is threatened by inadequate control during implementation, it is difficult or impossible to rule out rival hypotheses or explanations. Therefore, researchers should be especially cautious when interpreting and generalizing the results from pre-experimental studies. However, pre-experimental designs are cost-effective ways to explore whether a potential intervention merits further investigation. They might be particularly useful when there are less than perfect conditions for true experimental designs. These may include the restraints of time, space, participants, resources, and ethical issues; logistical constraints, such as the investigation of a small atypical sample; or the evaluation of a previous intervention without adequate planning of the research design. Under those circumstances, as long as appropriate caution is taken while making interpretations and generalizations, results from pre-experimental designs could still be suggestive to the field and future research.

This entry first describes the notations used to diagram pre-experimental designs. Next, this entry discusses the major types of pre-experimental designs and possible improvements to these designs. The entry concludes with a brief presentation of the limitations and benefits of pre-experimental designs.

Diagramming Pre-Experimental Designs

Some useful designations are widely used to clarify the different designs. NR indicates that the assignment of participants into groups is nonrandom. E represents the group of participants exposed to the experimental variable or event (usually an intervention or treatment), whereas C represents the control or comparison group. The intervention or treatment is expressed as X, the effects of which are to be measured, whereas ~X either means no intervention or the usual treatment. Thus, X and ~X signify two different levels of the independent variable in a study. O refers to the observation or measurement of the dependent variable. This can be done by observing behaviors, conducting interviews, administering tests, and so on. The X (or ~X) and Os in a given row are applied to the same group of participants, either E or C. The left-to-right dimension reflects the temporal order.

Types of Pre-Experimental Designs

Three major types of pre-experimental designs are commonly used, either because the research preplanning is inadequate, causing unanticipated problems, or perhaps the situation makes a pretest or a comparison group impossible.

One-Group Posttest-Only Design

The first pre-experimental design, the one-group posttest-only design, is also called the one-shot case study or case study design. In this subdesign, all the participants are assigned nonrandomly into the intervention group. Then, this whole group of participants is presented with some kind of intervention, such as a new curriculum, a new drug, or a new service. After that, the outcome performance is measured as the only posttest. The design is shown as

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