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00925njm 22002777a 4500 dc Hintz, Fred A author Geiser, Christian author Burns, G. Leonard author Servera, Mateu author 2019-03-14 Multitrait-multimethod (MTMM) analysis is one of the most frequently employed methods to examine the validity of psychological measures. Confirmatory factor analysis (CFA) is a commonly used analytic tool for examining MTMM data through the specification of trait and method latent variables. Most contemporary CFA-MTMM models either do not allow estimating correlations between the trait and method factors or they are restricted to linear trait-method relationships. There is no theoretical reason why trait and method relationships should always be linear, and quadratic relationships are frequently proposed in the social sciences. In this article, we present two approaches for examining quadratic relations between traits and methods through extended latent difference and latent means CFA-MTMM models (Pohl et al., 2008; Pohl and Steyer, 2010). An application of the new approaches to a multi-rater study of the nine inattention symptoms of attention-deficit/hyperactivity disorder in children (N = 752) and the results of a Monte Carlo study to test the applicability of the models under a variety of data conditions are described. Hintz FA, Geiser C, Burns GL, Servera M. Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models. Front Psychol. 2019 Mar 14;10:353. 10.3389/fpsyg.2019.00353 1664-1078 Frontiers in Psychology http://hdl.handle.net/20.500.13003/17590 30923505 2-s2.0-85065167094 https://hdl.handle.net/20.500.12105/22711 461125700001 Structural equation modeling Multiple rater Multitrait-multimethod (MTMM) analysis Latent moderated structural equations Latent difference model Latent means model Examining Quadratic Relationships Between Traits and Methods in Two Multitrait-Multimethod Models