Define Floor Ceiling Effects

It essentially describes when the dependent variable has leveled out and is no longer responding to the independent variable.

Define floor ceiling effects.

A floor effect is when most of your subjects score near the bottom. 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. The floor effect is a test measure that won t go below a certain point. This is even more of a problem with multiple choice tests.

Let s talk about floor and ceiling effects for a minute. An example of use in the first area a ceiling effect. The other scale attenuation effect is the ceiling effect. 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.

The specific application varies slightly in differentiating between two areas of use for this term. In layperson terms your questions are too hard for the group you are testing. 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. Ceiling effect is used to describe a situation that occurs in both pharmacological and statistical research.

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.