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Generalizability theory is based upon analysis of variance (ANOVA) and requires estimation of variance components for the ANOVA design under consideration in order to compute either G (Generalizability) or D (Decision) coefficients. Estimation of variance components has a number of alternative methods available using SAS, BMDP, and ad hoc procedures. This study examines the effect of these methods on coefficeints for a large sample of subjects under complex designs. The Wechsler Adult Intelligence Scale-Revised national standardization sample provided the data base. Subject (n=1880) variables (age, gender, etc.) provided variety for the construction of complex factoral designs. Three designs were used to investigate variance component estimation and resultant g-coefficeints. The designs included: (1) a two-factor subject x item design; (2) a three-factor subject x item x age design; and (3) a four-factor subject x item x age x gender design. These designs allowed estimation of both within and between subject effects. Suggestions are made concerning equal and unequal situations. (Author/PN)

1Boy Crusoe

By Allan Eric

Also published as" A Yankee Crusoe" . A 15 year old hard working and studious farm boy finds the lure of adventure on the seas as a merchant seaman more than he can resist. This is his story. " I was born in a little town in the State of Maine, near the close of the Civil War. My boyhood life did not differ materially from that of the average farmer's son in the remote country districts of New England--except, perhaps, that I read more and thought more. Hard work on the rugged soil, two terms each year in the little yellow country schoolhouse, a day's fishing now and then filled the early years of my life full to over-flowing. " What he gets is enough excitement and adventure to overflow his wildest dreams. How he experiences disaster and uses his wits and knowledge to overcome every problem makes for a great read. - Summary by Phil Chenevert