Subjective Judging and the Home Advantage in Female Collegiate Division I Gymnastics

2008 ◽  
Vol 17 (2) ◽  
pp. 3-7 ◽  
Author(s):  
Timothy Baghurst ◽  
Inza Fort
Keyword(s):  
Analysis Of Variance ◽  
Repeated Measures ◽  
Division I ◽  
Performance Effect ◽  
Repeated Measures Anova ◽  
Repeated Measures Analysis ◽  
Home Advantage ◽  
At Home

The purpose of this study was to investigate the home advantage in female collegiate Division I gymnastics by apparatus and determine the performance effect of the Judges’ Assignor System (JAS) introduced in 2005 on each apparatus. Participant teams (N = 15) were selected based on their ranking in the top 25 nationally at the end of each regular season from 2003 to 2007. A repeated measures analysis of variance (ANOVA) revealed home scores for each apparatus were significantly higher than their respective away scores, with the largest differences occurring in the uneven bars and floor exercise. Additionally, a repeated measures ANOVA to assess the JAS impact on scores revealed that home performances yielded higher scores than away for all apparatus, and scores for all apparatus were lower both at home and away since the introduction of JAS. Results are assessed based on current research, and application for judges and coaches is discussed.

The Home Advantage: Performance Effects in Female Collegiate Division I Gymnastics

2008 ◽  
Vol 1 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Timothy Baghurst ◽  
Inza Fort ◽  
René Cook
Keyword(s):  
Analysis Of Variance ◽  
Repeated Measures ◽  
Division I ◽  
Repeated Measures Analysis ◽  
Home Advantage ◽  
Performance Effects ◽  
Before And After ◽  
At Home

The current study investigated the performance effects of competing at home or away venues in female collegiate Division I gymnastics. Teams (N = 15) selected for analyses were ranked in the top 25 nationally at the end of each regular season during the period of 2003 to 2007 with the exclusion of 2005. Each team’s total scores at all regular season home meets over the four years were compiled and compared to their respective away meet total scores. A repeated measures analysis of variance revealed home scores to be significantly higher than away scores. Additionally, with the introduction of the Judges’ Assignor System (JAS) in 2005, team scores at home and away were compared before and after its introduction. Team scores were significantly higher at home prior to and following the introduction of JAS. However, performance scores were found to be significantly reduced at both home and away with JAS. The results of this study suggest that teams perform significantly better at home than away. In addition, the findings suggest that JAS has significantly reduced gymnastics scores, yet has not significantly altered the effects of competing away from home. Findings are discussed in light of current research and application for coaches and officials is provided.

scholarly journals Repeated-Measures ANOVA dan Uji Friedman dengan STATCAL, SPSS & Minitab

2018 ◽  
Author(s):  
Prana Ugiana Gio ◽  
Rezzy Eko Caraka ◽  
Robert Kurniawan ◽  
Dian utami sutiksno
Keyword(s):  
Analysis Of Variance ◽  
Repeated Measures ◽  
Repeated Measures Anova ◽  
Repeated Measures Analysis

Tulisan ini memaparkan metode statistika repeated-measures analysis of variance, disertai terapannya dengan SPSS, STATCAL dan Minitab

scholarly journals Changes in Maximal Strength and Home Run Performance in NCAA Division I Baseball Players Across 3 Competitive Seasons: A Descriptive Study

2021 ◽  
Vol 6 (1) ◽  
pp. 4
Author(s):  
W. Guy Hornsby ◽  
Abigail L. Tice ◽  
Jason D. Stone ◽  
Justin J. Merrigan ◽  
Joshua Hagen ◽  
...  
Keyword(s):  
Ncaa Division I ◽  
Repeated Measures ◽  
National Collegiate Athletic Association ◽  
Descriptive Study ◽  
Peak Force ◽  
Division I ◽  
Maximal Strength ◽  
Baseball Players ◽  
Repeated Measures Analysis ◽  
Division 1

The purpose of this longitudinal, descriptive study was to observe changes in maximal strength measured via isometric clean grip mid-thigh pull and home runs (total and home runs per game) across three years of training and three competitive seasons for four National Collegiate Athletic Association (NCAA) Division 1 baseball players. A one-way repeated measures analysis of variance (ANOVA) was performed, revealing significant univariate effects of time for peak force (PF) (p = 0.003) and peak force allometrically scaled (PFa) (p = 0.002). Increases in PF were noted from season 1 to season 2 (p = 0.031) and season 3 (p = 0.004), but season 2 was not significantly different than season 3 (p = 0.232). Additionally, increases in PFa were noted from season 1 to season 2 (p = 0.010) and season 3 (p < 0.001), but season 2 was not significantly different than season 3 (p = 0.052). Home runs per game rose from the 2009 (0.32) to 2010 season (1.35) and dropped during the 2011 season (1.07). A unique aspect of the study involves 2010 being the season in which ball-bat coefficient of restitution (BBCOR) bats were introduced to the NCAA competition.

Effects of a Combination of Stances and Points of Aim on Putting Accuracy

1988 ◽  
Vol 66 (1) ◽  
pp. 139-143 ◽  
Author(s):  
Erich Gott ◽  
Carl Mc Gown
Keyword(s):  
Analysis Of Variance ◽  
Repeated Measures ◽  
Traditional Method ◽  
Constant Error ◽  
Popular Opinion ◽  
Variable Error ◽  
Repeated Measures Analysis ◽  
Better Than

The purpose of this study was to determine the effects of two putting stances (conventional versus side-saddle) and two points of aim (ball versus hole) on putting accuracy. Subjects (12 men, 4 women) were taught to putt using four methods: (a) conventional stance, eyes on the ball; (b) conventional stance, eyes on the hole; (c) side-saddle stance, eyes on the ball; and (d) side-saddle stance, eyes on the hole. Each subject practiced each method for 2 wk., after which they were tested for purring accuracy by counting putts made, determining constant error, and by calculating variable error. Accuracy was assessed at 5 and 15 ft. A 2 by 2 repeated-measures analysis of variance showed that there was no single combination of stance and point of aim that was significantly better than another at either distance. This suggests that, contrary to popular opinion, the traditional method of putting is not the best method for putting; other methods are equally as good and could be used if individually desired.

scholarly journals Estimating Bayes factors from minimal summary statistics in repeated measures analysis of variance designs

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Thomas Faulkenberry
Keyword(s):  
Analysis Of Variance ◽  
Repeated Measures ◽  
Bayes Factor ◽  
Linear Models ◽  
Repeated Measurements ◽  
Bayes Factors ◽  
Complex Method ◽  
Summary Statistics ◽  
Minimal Set ◽  
Repeated Measures Analysis

In this paper, I develop a formula for estimating Bayes factors directly from minimal summary statistics produced in repeated measures analysis of variance designs. The formula, which requires knowing only the F-statistic, the number of subjects, and the number of repeated measurements per subject, is based on the BIC approximation of the Bayes factor, a common default method for Bayesian computation with linear models. In addition to providing computational examples, I report a simulation study in which I demonstrate that the formula compares favorably to a recently developed, more complex method that accounts for correlation between repeated measurements. The minimal BIC method provides a simple way for researchers to estimate Bayes factors from a minimal set of summary statistics, giving users a powerful index for estimating the evidential value of not only their own data, but also the data reported in published studies.

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