The Floor Effect

In statistics and measurement theory an artificial lower limit on the value that a variable can attain causing the distribution of scores to be skewed.

The floor effect. This could be hiding a possible effect of the independent variable the variable being manipulated. 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. For example the distribution of scores on an ability test will be skewed by a floor effect if the test is much too difficult for many of the respondents and. Psychology definition of floor effect.

With other types if the subject doesn t know they aren t. Learn how to use working floor in less than a minute. A floor effect is when most of your subjects score near the bottom. Limited variability in the data gathered on one variable may reduce the power of statistics on correlations between that variable and another variable.

The inability of a test to measure or discriminate below a certain point usually because its items are too difficult. Ceiling effects and floor effects both limit the range of data reported by the instrument reducing variability in the gathered data. In layperson terms your questions are too hard for the group you are testing. A floor effect occurs when a measure possesses a distinct lower limit for potential responses and a large concentration of participants score at or near this limit the opposite of a ceiling effect.

There is very little variance because the floor of your test is too high. 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.