| Literature DB >> 33803740 |
Jun Chen1, Xiaozan Wang1,2, Zhanjia Zhang3, Weiyun Chen3.
Abstract
This study aimed to test the validity and reliability of the Physical Education (PE) Metric Assessment Rubrics for assessing 4th-grade students' manipulative skill competency and examine how well they demonstrated manipulative skill competency. Participants were 4th-grade students at six elementary schools in China. A total of 535 4th-grade students were assessed their soccer skills and 819 4th-grade students were assessed their basketball skills using the PE-Metric Assessment Rubrics. The results found that the soccer and basketball skill assessments had a high degree of internal consistency. And the results showed that the soccer and basketball skill assessment rubrics had a good factor structure. The students' mean score in soccer and basketball skills assessment was lower than the Overall Competent Level. Further, the t-test indicated that soccer and basketball skill assessments had a significant difference in the mean score of Overall Competent Level between the boys and the girls. The PE-Metric Assessment Rubrics were valid and reliable assessment tools for assessing the manipulative skill competency in soccer and basketball skills among 4th-grade students in China. This study suggested that Chinese elementary school students need to improve basic manipulative skill competency in soccer and basketball skills.Entities:
Keywords: manipulative skill competency; skill assessment; validation
Year: 2021 PMID: 33803740 PMCID: PMC8003335 DOI: 10.3390/ijerph18063150
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Descriptive statistics, Pearson’s correlations, and alpha coefficients of the manipulative skill assessments.
| PE-Metric Assessment Rubric | Skewness | Kurtosis | Pearson Correlation | α | |||
|---|---|---|---|---|---|---|---|
| Dribbling | Passing | Receiving | Total | ||||
| Soccer | |||||||
| Dribbling | −0.408 | −0.361 | 1 | 0.852 | |||
| Passing | −0.745 | −0.246 | 0.631 ** | 1 | 0.798 | ||
| Receiving | −0.470 | −0.707 | 0.630 ** | 0.857 ** | 1 | 0.792 | |
| Total score | −0.796 | −0.059 | 0.819 ** | 0.929 ** | 0.933 ** | 1 | 0.879 |
| Basketball | |||||||
| Dribbling | −0.245 | −0.865 | 1 | 0.833 | |||
| Passing | −0.324 | −0.856 | 0.765 ** | 1 | 0.828 | ||
| Receiving | −0.270 | −1.045 | 0.799 ** | 0.829 ** | 1 | 0.815 | |
| Total score | −0.288 | −0.962 | 0.917 ** | 0.929 ** | 0.944 ** | 1 | 0.922 |
Note: ** represents p < 0.01.
Exploratory factor analyses of the manipulative skill assessments: factor loading from the structure matrix.
| PE-Metric Assessment Rubric | Factor 1 | Eigenvalue | % of Variance | % of Cumulative |
|---|---|---|---|---|
| Soccer | ||||
| Dribbling | 0.931 | 2.417 | 80.562 | 80.562 |
| Passing | 0.930 | |||
| Receiving | 0.828 | |||
| Basketball | ||||
| Dribbling | 0.943 | 2.595 | 86.516 | 86.516 |
| Passing | 0.930 | |||
| Receiving | 0.918 | |||
Descriptive statistics of the manipulative skill assessments for total sample and by sex.
| PE-Metric Assessment | Total | Boys | Girls | |||
|---|---|---|---|---|---|---|
| M (SD) | # of OCL | M (SD) | # of OCL | M (SD) | # of OCL | |
| Soccer | ||||||
| Dribbling | 1.995 (1.0234) | 139 (26.0%) | 2.088 (1.0704) | 97 (31.6%) | 1.871 (0.9443) | 42 (18.4%) |
| Passing | 2.619 (1.2103) | 290 (54.2%) | 2.717 (1.2444) | 182 (59.3%) | 2.487 (1.1524) | 108 (47.4%) |
| Receiving | 2.434 (1.2545) | 240 (44.9%) | 2.490 (1.2897) | 147 (47.9%) | 2.357 (1.2041) | 93 (40.8%) |
| Total score | 7.041 (3.1574) | 176 (32.9%) | 7.279 * (3.2819) | 111 (36.2%) | 6.721 (2.9586) | 65 (28.5%) |
| Basketball | ||||||
| Dribbling | 2.463 (1.1185) | 405 (49.5%) | 2.609 (1.0475) | 241 (53.6%) | 2.286 (1.1768) | 164 (44.4%) |
| Passing | 2.436 (1.1340) | 420 (51.3%) | 2.598 (1.0481) | 247 (54.9%) | 2.238 (1.2029) | 173 (46.9%) |
| Receiving | 2.395 (1.1998) | 421 (51.4%) | 2.538 (1.1001) | 248 (55.1%) | 2.221 (1.2914) | 173 (46.9%) |
| Total score | 7.294 (3.2120) | 355 (43.3%) | 7.744 ** (2.9127) | 206 (45.8%) | 6.745 (3.4686) | 149 (40.4%) |
Note: * Boy means higher than girl means at the alpha 0.05 level; ** Boy means significantly higher than girl means at the alpha 0.01 level; OCL = Overall Competent Level; M = Mean; SD = Standard deviation.