Utilizing multiple sleep measures, a practice common to virtually all
sleep assessments, poses problems both for statistical analyses in the
form of inflated Type I error rate and for interpretation by the inab
ility to specify general sleep change. A sleep quotient (SQ) is propos
ed that appears to overcome these problems. The paper presents archiva
l norms for self-report sleep data, demonstrates the use of these norm
s in transforming novel data to standardized units, and casts the stan
dardized score in the form of an intelligence quotient, now called a S
Q, with a mean of 100 and a standard deviation of 15. Previously publi
shed data are reanalyzed by use of SQ scores, methods of interpreting
SQ data are demonstrated, and advantages of SQ analyses are described.
The SQ appears to be a valid, useful composite sleep index permitting
the measurement of general sleep. (C) 1997 Elsevier Science Ltd.