Loose and confusing terminology has been used to obscure weaknesses in the techniques. In particular, PLS-PA (the Lohmoller algorithm) happens to be conflated with partial minimum squares regression PLSR, that will be an alternative for ordinary least squares regression and has nothing at all to do with course analysis. PLS-PA was falsely promoted as a method that actually works with little datasets whenever other estimation approaches fail. Westland (2010) decisively revealed this to not be real and developed an algorithm for test sizes in SEM. Considering that the 1970s, the 'small test size' assertion has been known to be false (see for example Dhrymes, 1972, 1974; Dhrymes & Erlat, 1972; Dhrymes et al., 1972; Gupta, 1969; Sobel, 1982).
I feel as though these might be a long time to make it flat but the task of 301 redirecting them all appears daunting.

Thank you for a great list, Cyrus! I was astonished just how many of these i did not utilize before haha


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