Setting the Boundaries of a Study
Key terms
Adequacy
Appropriateness
Boundary setting
External validity
Inclusion and exclusion criteria
Informants
Participants locations, conceptual boundaries, virtual boundaries
Respondents
Subjects
Assume that you have a research problem and an appropriate design that matches your research purpose and question or query. You are now ready to consider how individuals, concepts, or locations will be selected for your study and how particular
phenomena will be defined and identified. Selecting research participants, whether they are human or not, and identifying concepts and phenomena represent one of the first action processes that set or establish the boundaries or limitations of a study.
Setting boundaries is inextricably linked to important ethical considerations, such as how people are selected for study participation, how they are informed of study procedures, how the information they share is managed and treated confidentially, and to whom or what the study results are applied. Because of the significance of the ethical component of boundary setting, we examine this in depth in Chapter 12.
Why set boundaries to a study?
Setting limits or boundaries as to what and who will be in a study is an action that occurs in every type of research design, whether in the experimental-type or the naturalistic tradition. A researcher sets boundaries that limit the scope of the investigation to a specified group of individuals, phenomena, geography, or set of conceptual dimensions. The following example helps show why it is important to set boundaries or limitations.
Studies are also necessarily limited or bounded by identifying particular data collection strategies and concepts that will be considered.
There are numerous ways to limit the scope of a study. As discussed in previous chapters on the thinking processes of research, an investigator actively bounds a study on the basis of five interrelated considerations (Box 11-1).
Your philosophical approach or the particular research tradition you are using to develop your study will set the backdrop from which all action decisions will be made. A deductive, experimental-type study tightly bounds the study to preidentified concepts and a highly specified population. The purpose of the study, the particular research question, and the design will also shape the extent to which concepts, phenomena, and populations are delimited.
For example, an intervention study that tests the effectiveness of a particular home care service in producing a specified outcome must carefully match the intent of the intervention with specific characteristics of the subject group or individuals who will be targeted and recruited for the study. Thus, identifying highly specified criteria as to who is eligible and who is not eligible to participate is a required action process. These criteria are referred to as “inclusion and exclusion criteria,” as discussed later.
On the other hand, a broad inquiry designed to investigate the experiences of persons with acquired immunodeficiency syndrome (AIDS) may set few restrictions except diagnostic condition as to who can participate in the study and thus cast a wide net for participant enrollment. An investigator might even delimit a study by virtual location such as a listserv or virtual chat room for persons with AIDS.
Finally, your ability to access the population of interest or the phenomenon to be studied is another consideration as to how a study is bounded. Limited resources, such as monetary and time restrictions, will likely yield a study design that is tightly delimited or bounded.
Thus, there are both practical and theoretical considerations in how researchers bound the context of either an experimental-type or a naturalistic form of inquiry. In practical terms, it would be impossible to observe every speech event, personal interaction, image, or activity in a particular natural setting. You must bound the study by making purposeful selections as to what will be observed and who will be interviewed.1,2
In experimental-type designs, boundary setting is a process that must occur before entering the field or beginning the study. Boundaries are set in three ways: (1) specifying the concepts that will be operationally defined, (2) establishing inclusion and exclusion criteria that define the population that will be studied, and (3) developing a sampling plan.
This set of action processes in naturalistic designs differs from those in the experimental-type tradition. Naturalistic boundary setting may occur throughout the research endeavor depending on how the dynamic design unfolds. Initial boundaries are set by the investigator through defining the particular domain of interest and the point of access from which to enter that domain.