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issues related to the decision of the number of factors to retain in factor analysis are identified, and three widely-used decision rules -- the Kaiser-Guttman, scree, and likelihood ratio tests -- are isolated for empirical study. Using two differing structural models and incorporating a number of relevant independent variables (such as number of(More)
In most well designed researches larger substantive factors show a break in size from those of a trivial lower degree of variance, which are due to error and other sources. The only short test for the number of such factors that has been repeatedly supported by plasmode results is the scree. The present experiment extends this empirical testing of the scree(More)