00:01
A ceiling effect occurs when the independent variable in a study has reached its maximum possible value, resulting in a clustering of scores at the upper end of the scale.
00:11
On the other side, a floor effect occurs when the independent variable has reached its minimum possible value, leading to a clustering of scores at the lower end of the scale.
00:20
These effects can impact the outcome of a research study in several ways.
00:30
A ceiling effect or floor effect reduces the sensitivity of the measurement tool or scale used in the study.
00:37
When scores cluster at one extreme end, it becomes difficult to distinguish between individuals or groups with different levels of the measured variable.
00:44
This reduces the ability of the study to detect meaningful differences or changes.
00:55
With the ceiling effect or floor effect, there is a limited variability in the data, making it challenging to assess the full range of the measured variable...