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This paper begins with a general discussion of statistical significance, effect size, and power analysis; and concludes by extending the discussion to the multivariate case (MANOVA). Historically, traditional statistical significance testing has guided researchers' thinking about the meaningfulness of their data. The use of significance testing alone in making these decisions has proved problematic. It is likely that less reliance on statistical significance testing, and an increased use of power analysis and effect size estimates in combination could contribute to an overall improvement in the quality of new research produced. The more informed researchers are about the benefits and limitations of statistical significance, effect size, and power analysis, the more likely it is that they will be able to make more sophisticated and useful interpretations about the meaningfulness of research results. One table illustrates the discussion. (Contains 37 references.) (SLD)

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