Glossary
Glossary | |
These is glossary of research key terms. This glossary is intended as an aid to
professionals and non-professionals who find the world of research
somewhat intimidating. While it is impossible to cover all the terms
that can be confusing, this document briefly defines some of the more
common terms and concepts. | |
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| Interval level of measurement | 1. A level of measurement in which the ratios of measured values are not meaningful, which is to say that they do not correspond to similar relationships among the objects measured. The classic example of interval measurement is the measurement of temperature using Fahrenheit and Centigrade scales. If it is 80ºF in Tulsa and 40ºF in Juneau, you cannot say it is twice as hot in Tulsa. Here is one clue that this is not meaningful. Suppose we measured the temperature in Centigrade instead of Fahrenheit. The formula for converting Fahrenheit to Centigrade is C=(F-32)*5/9. So in Tulsa it is 27 C and in Juneau it is 4 C. Now it looks like Tulsa is 4 times as hot as Juneau! Yet Fahrenheit and Centigrade are perfectly equivalent and equally valid measuring scales. So you know ratios are not meaningful in interval measurement. 2. The ratios of differences (intervals) among measured values is meaningful. For example, suppose it is 70 F in L.A. and 50 F in San Francisco. The difference in temperature between Tulsa and Juneau (40 F) is twice as much as the difference in temperature between L.A. and San Francisco (20 F). This statement is still true if we measure the temperatures in Centigrade, so interval measurements preserve ratios of differences in measured values. |
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