Children 's Physical Activity Levels During Primary School

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Powell, Woodfield and Nevill (2015) produced an article entitled ‘Children’s physical activity levels during primary school break times: a quantitative and qualitative research design.’ The purpose of the article is to investigate the “diversity of primary school children’s physical activity” during outdoor recess. The research was carried out in two phases; phase one was the quantitative phase; the quantitative phase relied on the gathering of observational data using the System for Observing Children’s Activity and Relationships during Play (SOCARP) tool (Ridgers et al. 2010), this tool is used to monitor the behaviour of school children during their break time; splitting their actions into four subgroups, activity levels, group size,…show more content…
Al. (2011). Participants were gathered from five mixed sex primary schools from one of England’s major cities in the West Midlands area. The selected school came from an area which suffers from high levels of social and economical deprivation. There was a variety of sampling techniques used to ascertain the participants, initially 50 schools from the West Midlands area were selected via systematic sampling. Consequently, due to a lack of responses after only one school agreed to take part, four schools were approached via a form of purposive sampling. These schools which were individually chosen were chosen because they matched the demographics of the one school which volunteered. Once schools were selected children were chosen at random to select children who would be observed. The quantitative data collected using the SOCARP tool, the data collected is ordinal but due to being recorded in ten second intervals is recorded as interval data. As the ordinal data was recorded as interval data it was considered as continuous for the purpose of this analysis. Observations of the data were found to be coded in such a way that the data could be treated as parametric due to its coding aligning itself with Rice’s (2007) central limit theorem and not depending on other values. The qualitative data was analysed using interpretative phenomenological analysis (IPA). This system recognises that a participant’s views will be affected by the
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