Hi Mikko,
The article of Marsh et al. focuses on unidimensionality, but the scales I use are well validated and unidimensional. I found a notion in Principles and Practices of Structural Equation Modeling of Rex Kline (2011) on Heywood cases: "A combination of small sample sizes (e.g., N < 100) and only two indicators per factor". Although my sample is bigger (N=275) I made a mistake by creating two parcels per indicator, this might result in the strange estimates. Don't exactly how it works, but I suspect that this is the case.
Greetings,
Arjan
Op maandag 27 juli 2015 17:51:34 UTC+2 schreef Arjan van Dam: