Effects of fatigue on golf performance

The purpose of this study was to determine if body position, weight transfer, and/or pelvis/trunk rotations changed as a result of a golf specific fatiguing protocol and whether these changes affected resultant club head velocity at impact and shot consistency. Six male golfers and one female golfer participated in the study, who had a mean age, height, and body mass of 23.9 +/- 3.9 years, 177.4 +/- 4.9 cm, and 75.3 +/- 9.9 kg, respectively. Path analysis was used to determine the relationships between fatigue, biomechanical variables, and resultant club head velocity at impact and shot consistency. In the statistical models representing the effects of biomechanical variables calculated at the top of the swing and ball contact, golf specific fatigue was associated with a 2.0% and 2.5% reduction in the club head velocity and a 7.1% and 9.4% improvement in the shot consistency, respectively. These data suggest that golf specific fatigue was not related to the initial lower body sagittal plane angles at address nor was simulated golf specific fatigue related to peak transverse plane pelvis and trunk rotational velocities (or their timings) in a manner that indicates a relationship to resultant club head velocity and shot consistency.     

Assessment: New Ways of Pupil Evaluation Using Real Data

Typically, external assessment of school statistics concentrates on lower–level skills. This article discusses how use of the real data of CensusAtSchool makes it possible to devise questions and activities that assess deeper levels of understanding, as described in Bloom’s Taxonomy of Cognitive Learning.     

Transforming SIBTEST to Account for Multilevel Data Structures

SIBTEST is a differential item functioning (DIF) detection method that is accurate and effective with small samples, in the presence of group mean differences, and for assessment of both uniform and nonuniform DIF. The presence of multilevel data with DIF detection has received increased attention. Ignoring such structure can inflate Type I error. This simulation study examines the performance of newly developed multilevel adaptations of SIBTEST in the presence of multilevel data. Data were simulated in a multilevel framework and both uniform and nonuniform DIF were assessed. Study results demonstrated that naïve SIBTEST and Crossing SIBTEST, ignoring the multilevel data structure, yield inflated Type I error rates, while certain multilevel extensions provided better error and accuracy control.