Define Floor Ceiling Effects

The other scale attenuation effect is the ceiling effect.

Define floor ceiling effects.

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. In layperson terms your questions are too hard for the group you are testing. Ceiling effect is used to describe a situation that occurs in both pharmacological and statistical research. There is very little variance because the floor of your test is too high.

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. This is even more of a problem with multiple choice tests. It essentially describes when the dependent variable has leveled out and is no longer responding to the independent variable.

A floor effect is when most of your subjects score near the bottom. The floor effect is a test measure that won t go below a certain point. An example of use in the first area a ceiling effect. The specific application varies slightly in differentiating between two areas of use for this term.

The term ceiling effect has two distinct meanings referring to the level at which an independent variable no longer has an effect on a dependent variable or to the level above which variance in an independent variable is no longer measured or estimated. Let s talk about floor and ceiling effects for a minute.