A lack of fundamental movement skill (FMS) proficiency in children can contribute to decreased physical activity (PA) levels, increased adiposity and poor acquisition of specialised sport specific movement skills. To prevent the latter, the identification of FMS status in early and middle childhood years is needed for targeted and specific interventions. Against the backdrop of physical education being omitted from the South African school curriculum, the presence of a patriarchal society, gender sporting stereotyping, high levels of unemployment and low education levels; the assessment of FMS status is particularly warranted. Aim of Study: The primary aim of this study was to assess the FMS proficiency of girls aged 9-to-12 years from previously disadvantaged communities within Nelson Mandela Bay. Methodology:A descriptive-exploratory-contextual study design, employing quantitative assessment techniques, was utilized. The sample comprised of 227 girls. Convenience sampling was employed. Testing consisted of FMS proficiency tests in the 20m and 40m sprint, standing long jump, throwing for distance, catching, static balance and throwing for accuracy. FMS process scores were assessed with the body component (BC) and Test of Gross Motor Development II (TGMD II) approaches. Anthropometric measurements of the standing and seated height, mass, arm span and leg length were additionally measured. Microsoft Excel® and Statistica® were used for descriptive and inferential statistical analysis. In the case of significant ANOVA results, the Scheffe post hoc test was used for pairwise comparisons. Statistical significance was set at p<.05 and practical significance (Cohen’s d) was set at d>.2. Pearson Correlation Coefficient identified statistical and practical correlations between two variables and chi square was applied to indicate differences in frequency distribution tables. Cramer’s V values were applied to determine practical significance in the case where statistical significant differences were identified between sets of frequency distributions.
Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:10107 |
Date | January 2014 |
Creators | Kahts, Samantha Andrea |
Publisher | Nelson Mandela Metropolitan University, Faculty of Health Sciences |
Source Sets | South African National ETD Portal |
Language | English |
Detected Language | English |
Type | Thesis, Masters, MA |
Format | xxii, 363 leaves, pdf |
Rights | Nelson Mandela Metropolitan University |
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