In layperson terms your questions are too hard for the group you are testing.
Define floor ceiling effects.
Let s talk about floor and ceiling effects for a minute.
The floor effect is a test measure that won t go below a certain point.
In pharmacology a ceiling effect is the point at which an independent variable which is the variable being manipulated is no longer affecting the dependent variable which is the variable being measured.
There is very little variance because the floor of your test is too high.
The ceiling effect is one type of scale attenuation effect.
A floor effect is when most of your subjects score near the bottom.
The other scale attenuation effect is the floor effect the ceiling effect is observed when an independent variable no longer has an effect on a dependent variable or the level above which variance in an independent variable is no longer measurable.
This lower limit is known as the floor.
The specific application varies slightly in differentiating between two areas of use for this term.
The other scale attenuation effect is the ceiling effect.
An example of use in the first area a ceiling effect.
It essentially describes when the dependent variable has leveled out and is no longer responding to the independent variable.
In statistics a floor effect also known as a basement effect arises when a data gathering instrument has a lower limit to the data values it can reliably specify.
This is even more of a problem with multiple choice tests.