2026-04-17T03:03:58Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/17572024-06-13T10:11:39Zcom_2072_452955com_2072_2054col_2072_452964

00925njm 22002777a 4500 dc Batista Foguet, Joan Manuel author Coenders, Germà author Saris, Willem E. author Bisbe, Josep author 2004 Interaction effects are usually modeled by means of moderated regression analysis. Structural equation models with non-linear constraints make it possible to estimate interaction effects while correcting for measurement error. From the various specifications, Jöreskog and Yang's (1996, 1998), likely the most parsimonious, has been chosen and further simplified. Up to now, only direct effects have been specified, thus wasting much of the capability of the structural equation approach. This paper presents and discusses an extension of Jöreskog and Yang's specification that can handle direct, indirect and interaction effects simultaneously. The model is illustrated by a study of the effects of an interactive style of use of budgets on both company innovation and performance http://hdl.handle.net/10256/1757 Anàlisi d'error (Matemàtica) Anàlisi multivariable Anàlisi de regressió Error analysis (Mathematics) Multivariate analysis Regression analysis Simultaneous estimation of indirect and interaction effects using structural equation models