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.

Define floor ceiling effects.

The specific application varies slightly in differentiating between two areas of use for this term. 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. A floor effect is when most of your subjects score near the bottom.

The other scale attenuation effect is the ceiling effect. In layperson terms your questions are too hard for the group you are testing. Let s talk about floor and ceiling effects for a minute. 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.

The ceiling effect is one type of scale attenuation effect. This lower limit is known as the floor. 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. 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. This is even more of a problem with multiple choice tests.