In layperson terms your questions are too hard for the group you are testing.
A floor effect on measurements.
Take the length and multiply it by the width to get the area of floor space in square units.
This is even more of a problem with multiple choice tests.
Multiply to get the area.
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 lower limit is known as the floor.
The inability of a test to measure or discriminate below a certain point usually because its items are too difficult.
For example it is easy to see a ceiling effect if y is a percentage score that approaches 100 in the treatment and control conditions.
A 140ft 2 room is going to be fitted out with 9 terracotta floor tiles so you divide 140 by the number from the chart which for 9 tiles is 0 5625.
This could be hiding a possible effect of the independent variable the variable being manipulated.
Psychology definition of floor effect.
With other types if the subject doesn t know they aren t.
The sample size requirement for a given effect size and power will depend on the precision of the instrument in terms of detecting small changes across cross sectional studies and within longitudinal studies and clinical trials groups.
If the maximum or minimum value of a dependent variable is known then one can detect ceiling or floor effects easily.
This strongly suggests that the dependent variable should not be open ended.
There is very little variance because the floor of your test is too high.
For this reason examination of test results for a possible ceiling effect and the converse floor effect is often built into the validation of instruments such as those used for measuring quality of life.
For instance if one wall is 10 feet 3 0 m and the other is 8 feet 2 4 m multiply these to get a total floor space area of 80 feet 24 m square.
In research a floor effect aka basement effect is when measurements of the dependent variable the variable exposed to the independent variable and then measured result in very low scores on the measurement scale.
140 0 5625 248 9 tiles stage 3.