Inclusion and Exclusion Criteria | Examples & Definition
Inclusion and exclusion criteria determine which members of the target population can or can’t participate in a research study. Collectively, they’re known as eligibility criteria, and establishing them is critical when seeking study participants for clinical trials.
This allows researchers to study the needs of a relatively homogeneous group (e.g., people with liver disease) with precision. Examples of common inclusion and exclusion criteria are:
- Demographic characteristics: Age, gender identity, ethnicity
- Study-specific variables: Type and stage of disease, previous treatment history, presence of chronic conditions, ability to attend follow-up study appointments, technological requirements (e.g., internet access)
- Control variables: Fitness level, tobacco use, medications used
Failure to properly define inclusion and exclusion criteria can undermine your confidence that causal relationships exist between treatment and control groups, affecting the internal validity of your study and the generalizability (external validity) of your findings.
What are inclusion criteria?
Inclusion criteria comprise the characteristics or attributes that prospective research participants must have in order to be included in the study. Common inclusion criteria can be demographic, clinical, or geographic in nature.
People who meet the inclusion criteria are then eligible to participate in the study.
What are exclusion criteria?
Exclusion criteria comprise characteristics used to identify potential research participants who should not be included in a study. These can also include those that lead to participants withdrawing from a research study after being initially included.
In other words, individuals who meet the inclusion criteria may also possess additional characteristics that can interfere with the outcome of the study. For this reason, they must be excluded.
Typical exclusion criteria can be:
- Ethical considerations, such as being a minor or being unable to give informed consent
- Practical considerations, such as not being able to read
If potential participants possess any additional characteristics that can affect the results, such as another medical condition or a pregnancy, these are also often grounds for exclusion.
People who meet one or more of the exclusion criteria must be disqualified. This means that they can’t participate in the study even if they meet the inclusion criteria.
Examples of inclusion and exclusion criteria
It is important that researchers clearly define the appropriate inclusion and exclusion criteria prior to recruiting participants for their experiment or trial.
Researchers review inclusion and exclusion criteria with each potential participant to determine their eligibility.
Why are inclusion and exclusion criteria important?
Defining inclusion and exclusion criteria is important in any type of research that examines characteristics of a specific subset of a population. This helps researchers identify the study population in a consistent, reliable, and objective manner. As a result, study participants are more likely to have the attributes that will make it possible to robustly answer the research question.
In clinical trials, establishing inclusion and exclusion criteria minimizes the likelihood of harming participants (e.g., excluding pregnant women) and safeguards vulnerable individuals from exploitation (e.g., excluding individuals who are unable to comprehend what the research entails.) Ethical considerations like these are critical in human-based research.
The main goal of clinical trials is to prove that a medication is safe and effective when used by the target population it was designed for. Therefore, ensuring that study participants are representative of the target population is crucial to the success of the study.
By applying inclusion and exclusion criteria to recruit participants, researchers can ensure that participants are indeed representative of the target population, ensuring external validity. Relatedly, defining robust inclusion and exclusion criteria strengthens your claim that causal relationships exist between your treatment and control groups, ensuring internal validity.
Strong inclusion and exclusion criteria also help other researchers, because they can follow what you did and how you selected participants, allowing them to accurately replicate or reproduce your study.
Ethnographies and a few other types of qualitative research do not usually specify exclusion criteria. However, inclusion criteria help researchers define the community of interest—for example, users of Apple watches. In this way, they can find individuals who have attributes that can help them meet the research objectives.
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Frequently asked questions
- What is the difference between internal and external validity?
The validity of your experiment depends on your experimental design.
- What type of sampling uses inclusion and exclusion criteria?
- Where do I present inclusion and exclusion criteria?
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