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This paper introduces latent growth modeling (LGM) as a statistical method for analyzing change over time in latent, or unobserved, variables, with particular emphasis of the application of this method in higher education research. While increasingly popular in other areas of education research and despite a wealth of publicly-available datasets relevant to postsecondary education research, LGM has not been utilized widely by higher education researchers. This paper begins by introducing LGM as a desirable mechanism for analyzing variability in individual growth trajectories over time and then presents an illustration of its application. An example of the application of LGM to data obtained from the Integrated Postsecondary Educational Data System (IPEDS) is presented to introduce specific components of LGM, including model specification and goodness-of-fit indices, and to demonstrate the research potential for higher education researchers. Finally, additional datasets offering longitudinal analysis potential for higher education researchers are presented to facilitate research. (Contains 2 tables, 2 figures, and 8 footnotes.)

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