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      A reciprocal, moderated mediation model of grit, engagement, and literacy achievement among dual language learners

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          Abstract

          This short‐term longitudinal study asked (a) how and for whom socioemotional factors like grit and emotional engagement predict later literacy achievement; and (b) if there are reciprocal effects between literacy and these socioemotional factors. An autoregressive cross‐lagged (ARCR) design included 3 time points over 4 months with an ethnic minority, dual language learner sample ( n = 142; 54% female; 75% Latina/o; M = 9.47 years old). The procedure at each time point included teacher‐reported student emotional engagement and adapted grit questionnaires in addition to a student literacy achievement performance task. A reciprocal model (i.e., socioemotional factors and literacy affect each other) was compared to direct (i.e., socioemotional factors impact literacy) and reverse (i.e., literacy impacts socioemotional factors) models. Results suggested that the reciprocal model fit better than the direct and reverse models. Within the reciprocal ARCR model, grit had a significant impact on later literacy achievement via the mediator of engagement and moderated by age. Findings hold implications for education discourse on reciprocal and indirect effects of grit on achievement among older elementary‐aged dual language learners.

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          Most cited references63

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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            Addressing Moderated Mediation Hypotheses: Theory, Methods, and Prescriptions.

            This article provides researchers with a guide to properly construe and conduct analyses of conditional indirect effects, commonly known as moderated mediation effects. We disentangle conflicting definitions of moderated mediation and describe approaches for estimating and testing a variety of hypotheses involving conditional indirect effects. We introduce standard errors for hypothesis testing and construction of confidence intervals in large samples but advocate that researchers use bootstrapping whenever possible. We also describe methods for probing significant conditional indirect effects by employing direct extensions of the simple slopes method and Johnson-Neyman technique for probing significant interactions. Finally, we provide an SPSS macro to facilitate the implementation of the recommended asymptotic and bootstrapping methods. We illustrate the application of these methods with an example drawn from the Michigan Study of Adolescent Life Transitions, showing that the indirect effect of intrinsic student interest on mathematics performance through teacher perceptions of talent is moderated by student math self-concept.
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              An Index and Test of Linear Moderated Mediation.

              I describe a test of linear moderated mediation in path analysis based on an interval estimate of the parameter of a function linking the indirect effect to values of a moderator-a parameter that I call the index of moderated mediation. This test can be used for models that integrate moderation and mediation in which the relationship between the indirect effect and the moderator is estimated as linear, including many of the models described by Edwards and Lambert ( 2007 ) and Preacher, Rucker, and Hayes ( 2007 ) as well as extensions of these models to processes involving multiple mediators operating in parallel or in serial. Generalization of the method to latent variable models is straightforward. Three empirical examples describe the computation of the index and the test, and its implementation is illustrated using Mplus and the PROCESS macro for SPSS and SAS.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Social Development
                Social Development
                Wiley
                0961-205X
                1467-9507
                August 2018
                March 06 2018
                August 2018
                : 27
                : 3
                : 665-680
                Affiliations
                [1 ] University of Maryland, College Park
                Article
                10.1111/sode.12288
                5ab9f6fd-7193-4f80-995f-36bf93df291b
                © 2018

                http://onlinelibrary.wiley.com/termsAndConditions#vor

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