Jennifer Symonds

Prof. Jennifer Symonds

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 February 2014 in Review of Education
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Journal Article
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JSJennifer Symonds
Jennifer Symonds
MGMaurice Galton
Maurice Galton

3 November 2014 in The Journal of Early Adolescence
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Journal Article
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JSJennifer Symonds
Jennifer Symonds
LHLinda Hargreaves
Linda Hargreaves
Adolescents typically like school less after making age-graded school transitions. Stage-environment fit theory (Eccles & Midgley, 1989) attributes this to a mismatch between developmental needs and new school environments. Our in vivo study provides a basis for future quantitative designs by uncovering the most prevalent stage-environment interactions in adolescents’ descriptions about school. Across one school year, adolescents discussed their emotional and motivational engagement. Emotional engagement (i.e., liking) was mainly based on adolescents’ emotions interacting with their daily experiences of teachers, peers, and lessons. In comparison, motivational engagement (i.e., value) was attributed to distal interactions between the self-concept and school as a gateway to friendships and a career. Because unique stage-environment interactions occurred for each engagement type and adolescents felt simultaneously engaged and disengaged, we recommend finer grained analyses of measured engagement. Finally, we argue for discerning time periods of preparing for, encountering, and adapting to new environments in stage-environment fit models, in our proposed model of transition phase psychology.

4 June 2010 in Evaluation & Research in Education
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JSJennifer Symonds
Jennifer Symonds
SGStephen Gorard
Stephen Gorard
The classification by many scholars of numerical research processes as quantitative and other research techniques as qualitative has prompted the construction of a third category, that of ‘mixed methods’, to describe studies that use elements from both processes. Such labels might be helpful in structuring our understanding of phenomena. But they can also inhibit our activities when they serve as inaccurate or limiting descriptors. Based on the observation that mixed methods are fast becoming a common research approach in the social sciences, this paper questions whether the assumptions that are used and perpetuated by mixed methods are valid. The paper calls for a critical change in how we perceive research, in order to better describe actual research processes. A ‘core’ design typology of the mechanisms underlying research structures and processes is posited to encourage creative thinking around alternatives to the three purported paradigms of quantitative, qualitative and mixed methods. This ‘return to basics’ seeks to encourage new and innovative research designs to emerge, and suggests a rebirth of research from the ashes of mixed methods.

15 May 2015
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JSJennifer Symonds
Jennifer Symonds
School transition is a life changing event for children - they are rarely faced with such a powerful set of personal and social changes. These underpin the immediate and longer term wellbeing of children, peer groups, teachers and schools. Understanding School Transition provides a most comprehensive, international review of this important area, complete with practical advice on what practitioners can do to support children’s wellbeing, motivation and achievement. Offering an accessible introduction to children’s psychology at transition, Understanding School Transition explores transition as a status passage, what we really mean by wellbeing, and the ways in which children adapt to new environments. Key chapters focus on: Understanding stress and anxiety Children’s hopes, fears and myths at transition Parents’ and teachers’ influence and role Children’s relationships with peers as they change schools Children’s personal and collective identities Motivation, engagement and achievement Supporting the most vulnerable children Crucially, it advises how you can help children through implementing transition interventions and evaluating their success in your own school. Illustrated by case studies of experiences in real schools, Understanding School Transition will be essential reading for all training and practising teachers, as well as transition and subject specialists, who want to better understand and influence what happens to children at this critical stage.

11 May 2022 in Educational Research
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Journal Article
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ETElizabeth Tobin
Elizabeth Tobin
SSSeaneen Sloan
Seaneen Sloan
JSJennifer Symonds
Jennifer Symonds
DDDympna Devine
Dympna Devine
Family–school connections during the transition from preschool to primary school are crucial, as they serve to bridge the gap between the home and school learning environments. In order to support ...

UBUna Britton
Una Britton
JIJohann Issartel
Johann Issartel
JSJennifer Symonds
Jennifer Symonds
SBSarahjane Belton
Sarahjane Belton
Physical activity (PA) decreases with age. The school transition is noted for significant changes in PA behaviour. Motor competence (MC), health-related fitness (HRF), and perceived competence (PC) are generally positively associated with PA. The aim of this study was to examine longitudinal cross-lagged relationships between PA, MC, HRF, and PC across the school transition from final year of primary school to first year of second-level school in Irish youth. PA (accelerometery), object-control and locomotor MC (TGMD-III), PC (perceived athletic competence subscale of the Self-Perception Profile for Adolescents), and HRF (20 m shuttle run, horizontal jump, vertical jump, push-ups, curl-ups) were measured in final year of primary school (6th class) and first year of second-level school (1st year). In the sixth class, 261 participants (53% female; mean age 12.22 ± 0.48 years) were tested. In first year, 291 participants (48% female; mean age: 13.20 ± 0.39 years) were tested. In total, 220 participants were involved in the study at both timepoints. Cross-lagged regression in AMOS23, using full information maximum likelihood estimation, was conducted to test reciprocal and predictive pathways between variables. The full cross-lagged model showed acceptable fit (χ2 = 69.12, df = 8, p < 0.01, NFI = 0.93, CFI = 0.94). HRF was the strongest predictor of future PA (β = 0.353), and also predicted PC (β = 0.336) and MC (β = 0.163). Object-control MC predicted future PA (β = 0.192). Reciprocal relationships existed between object-control MC and PA, and between object-control MC and PC. HRF was the strongest predictor of PA. Object-control MC also predicted PA. PA promotion strategies should target the development of HRF and object-control MC in primary school to reduce the decline in PA frequently observed after the school transition.