Showing 1 - 10 of 25
Cadogan and Lee (this issue) discuss the problems inherent in modeling formative latent variables as endogenous. In response to the commentaries by Rigdon (this issue) and Finn and Wang (this issue), the present article extends the discussion on formative measures. First, the article shows that...
Persistent link: https://www.econbiz.de/10010603342
Researchers often develop and test conceptual models containing formative variables. In many cases, these formative variables are specified as being endogenous. This article provides a clarification of formative variable theory, distinguishing between the formative latent variable and the...
Persistent link: https://www.econbiz.de/10010603348
Persistent link: https://www.econbiz.de/10009715040
Persistent link: https://www.econbiz.de/10010378844
Persistent link: https://www.econbiz.de/10003784934
Persistent link: https://www.econbiz.de/10011317108
Persistent link: https://www.econbiz.de/10011342734
Persistent link: https://www.econbiz.de/10012494001
Purpose – To clarify the nature of the error term in formative measurement models, as it had been misinterpreted in prior research. Design/methodology/approach – The error term in formative measurement models is analytically contrasted with the measurement errors typically found in...
Persistent link: https://www.econbiz.de/10014881456
Purpose – Higher-order factor models have recently been dismissed as a ‘misleading’, ‘meaningless’, and ‘needless’ approach for modeling multidimensional constructs (Lee and Cadogan, 2013; L & C, 2013 hereafter). The purpose of this paper is to show that – in contrast to L & C’s...
Persistent link: https://www.econbiz.de/10014881799