2015
DOI: 10.1111/bjep.12066
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Academic buoyancy, student's achievement, and the linking role of control: A cross-lagged analysis of high school students

Abstract: TITLEAcademic buoyancy, student's achievement, and the linking role of control: A cross-lagged analysis of high school students AUTHORSCollie, RJ; Martin, A J; Malmberg, L-E; et al. JOURNAL British Journal of Educational Psychology DEPOSITED IN ORE September 2016This version available at http://hdl.handle.net/10871/23311 COPYRIGHT AND REUSEOpen Research Exeter makes this work available in accordance with publisher policies. A NOTE ON VERSIONSThe version presented here may differ from the published version. If … Show more

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Cited by 93 publications
(73 citation statements)
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References 54 publications
(75 reference statements)
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“…Although in relative terms the size of the indirect paths was small, this is not unusual for naturalistic studies that control for autoregressive effects (Collie, Martin, Malmberg, Hall, & Ginns, 2015). Indeed, large indirect effects are typically found in complex naturalistic datasets only when autoregressive effects have not been controlled for (Martin, 2011).…”
Section: Discussionmentioning
confidence: 84%
“…Although in relative terms the size of the indirect paths was small, this is not unusual for naturalistic studies that control for autoregressive effects (Collie, Martin, Malmberg, Hall, & Ginns, 2015). Indeed, large indirect effects are typically found in complex naturalistic datasets only when autoregressive effects have not been controlled for (Martin, 2011).…”
Section: Discussionmentioning
confidence: 84%
“…Although the anticipated mediating role of behavioural engagement was small in the indirect relation from mastery-approach to achievement, the same point can be made; this was controlling for both prior engagement and achievement. This is typical for studies conducted in naturalistic settings using complex longitudinally collected data (Collie, Martin, Malmberg, Hall, & Ginns, 2015). Large indirect relations are usually only found in such datasets when autoregressive relations have not been accounted for (Martin, 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Of particular interest to this study are the size and significance of the cross‐lagged “a” and “b” paths in relation to arts self‐concept and arts participation. Indeed, cognate research has applied this analytic design to explore reciprocal effects and infer causal ordering of one factor over another (e.g., Collie, Martin, Malmberg, Hall, & Ginns, ; Martin, ; Martin & Liem, ). Alongside all these relationships, socio‐demographic and prior achievement factors are also modeled as covariates in order to partial out their influence and thus, better assess the unique role of arts factors in the process.…”
Section: Methodsmentioning
confidence: 99%