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The term ceiling effect is a measurement limitation that occurs when the highest possible score or close to the highest score on a test or measurement instrument is reached, thereby decreasing the likelihood that the testing instrument has accurately measured the intended domain. A ceiling effect can occur with questionnaires, standardized tests, or other measurements used in research studies. A person's reaching the ceiling or scoring positively on all or nearly all the items on a measurement instrument leaves few items to indicate whether the person's true level of functioning has been accurately measured. Therefore, whether a large percentage of individuals reach the ceiling on an instrument or whether an individual scores very high on an instrument, the researcher or interpreter has to consider that what has been measured may be more of a reflection of the parameters of what the instrument is able to measure than of how the individuals may be ultimately functioning. In addition, when the upper limits of a measure are reached, discriminating between the functioning of individuals within the upper range is difficult. This entry focuses on the impact of ceiling effects on the interpretation of research results, especially the results of standardized tests.

Interpretation of Research Results

When a ceiling effect occurs, the interpretation of the results attained is impacted. For example, a health survey may include a range of questions that focus on the low to moderate end of physical functioning (e.g., individual is able to walk up a flight of stairs without difficulty) versus a range of questions that focus on higher levels of physical functioning (e.g., individual is able to walk at a brisk pace for 1 mile without difficulty). Questions within the range of low to moderate physical functioning provide valid items for individuals on that end of the physical functioning spectrum rather than for those on the higher end of the physical functioning spectrum. Therefore, if an instrument geared toward low to moderate physical functioning is administered to individuals with physical health on the upper end of the spectrum, a ceiling effect will likely be reached in a large portion of the cases, and interpretation of their ultimate physical functioning would be limited.

A ceiling effect can be present within results of a research study. For example, a researcher may administer the health survey described in the previous paragraph to a treatment group in order to measure the impact of a treatment on overall physical health. If the treatment group represents the general population, the results may show a large portion of the treatment group to have benefited from the treatment because they have scored high on the measure. However, this high score may signify the presence of a ceiling effect, which calls for caution when one is interpreting the significance of the positive results. If a ceiling effect is suspected, an alternative would be to use another measure that provides items that target better physical functioning. This would allow participants to demonstrate a larger degree of differentiation in physical functioning and provide a measure that is more sensitive to change or growth from the treatment.

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