2016
DOI: 10.1080/09500693.2016.1248520
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Dimensions of science capital: exploring its potential for understanding students’ science participation

Abstract: As concerns about participation rates in post-compulsory science continue unabated, considerable research efforts have been focused on understanding and addressing the issue, bringing various theoretical lenses to bear on the problem. One such conceptual lens is that of

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Cited by 120 publications
(94 citation statements)
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References 33 publications
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“…This is consistent with some families being potentially able to provide specific science capital, which is likely to be facilitated when parents work within science (Archer et al 2015a;DeWitt et al 2016). Additionally, more children from Pakistani and from Bangladeshi backgrounds consistently expressed science-related aspirations, which links with prior research highlighting that families from some ethnic backgrounds may have more science capital through parents holding positive views about science and/or science-related careers and encouraging sciencerelated aspirations in their children (Archer and Francis 2006;Archer et al 2014).…”
Section: Findings Contextualisation and Implicationssupporting
confidence: 78%
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“…This is consistent with some families being potentially able to provide specific science capital, which is likely to be facilitated when parents work within science (Archer et al 2015a;DeWitt et al 2016). Additionally, more children from Pakistani and from Bangladeshi backgrounds consistently expressed science-related aspirations, which links with prior research highlighting that families from some ethnic backgrounds may have more science capital through parents holding positive views about science and/or science-related careers and encouraging sciencerelated aspirations in their children (Archer and Francis 2006;Archer et al 2014).…”
Section: Findings Contextualisation and Implicationssupporting
confidence: 78%
“…Specifically, the idea of science capital (somewhat following from sociological ideas of capital) encompasses multiple dimensions that include someone's self-confidence in feeling that they know about science, thinking that science is useful and relevant for careers, having parents who work in science and/or who find science interesting, engaging in extra-curricular science-related activities, and being encouraged to study science (Archer et al 2015a;DeWitt et al 2016;Godec et al 2017). Essentially, science capital aimed to collate dimensions that associate with personal identification with and aspirations towards science, and combines aspects that might otherwise be conceptualised as distinct motivational attitudes or beliefs (within someone's habitus and/or within an expectancy-value model of social-cognitive theory) and/or as distinct forms of social capital or family capital that reflect aspects of available resources, networks, and/or support and encouragement (Archer et al 2015a).…”
Section: Theoretical Perspectivesmentioning
confidence: 99%
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“…For example, the theory of planned behaviour proposes that intentions/choices follow from someone's confidence and subjective values and also from social norms or other pressure, guidance or advice (Ajzen 1991). Students' science intentions and choices have indeed associated with advice and encouragement from various sources, although at varying and sometimes low magnitudes (Archer et al 2015a;DeWitt et al 2016). Students have infrequently mentioned that influences from other people were relevant to their choices (Holmegaard et al 2014), although some students have cited a lack of support and encouragement as a reason, together with other reasons, for not studying science (Aschbacher et al 2010).…”
Section: Students' Attitudes and Beliefs Within Conceptual Frameworkmentioning
confidence: 99%
“…Other research in England has highlighted the relevance of advice and encouragement, although at varying magnitudes (Archer et al 2015a;DeWitt et al 2016). Due to prior research covering different samples, analysed through different approaches, it remains difficult to definitively conclude whether any one factor is more important than any other.…”
Section: Predictive Modellingmentioning
confidence: 99%