OVERVIEW AND OBJECTIVES
According to Weber's Law, the just noticeable difference (JND) or variable error is proportional to the size of the standard stimulus. Mathematically this can be written as:
JND = K x S
where S is the size of the standard and K is a constant called the Weber fraction.
K is always less than one and represents the proportion by which the standard stimulus needs to be increased or decreased before a reliable discrimination can be made. A small Weber fraction indicates high precision.
If Weber's Law holds true, a straight line will fit the data. In addition, when the standard stimulus length is zero, the JND will also be zero.
This section will show you:
- How to calculate the Weber fraction
- How precision and variable error vary with stimulus size;
- That accuracy and constant error do not vary with stimulus size; and
- The mathematical form of Weber's Law.
