Effect of Different Workloads Varying in Intensity and Duration on Resolution Acuity

1979 ◽  
Vol 48 (3_suppl) ◽  
pp. 1259-1264 ◽  
Author(s):  
Eric Vlahov
Keyword(s):  
Physical Activity ◽  
Analysis Of Variance ◽  
Repeated Measures ◽  
Significant Interaction ◽  
Control Session ◽  
Repeated Measures Analysis ◽  
Intensity Of Exercise ◽  
Method Of Adjustment

An experiment was conducted to determine the effect of participation in physical activity on resolution acuity. In the experiment, 21 undergraduate males participated in exercise sessions with work loads of 300, 700, and 1100 kpm for durations of 3 and 6 min. and a non-exercise control session. Resolution acuity was then determined by finding thresholds of a 20-cpd sinusoid-wave grating using the method of adjustment. A repeated-measures analysis of variance compared the effect of different workloads, intensities, and durations of workloads, and the interaction of intensity and duration on resolution acuity. Significant improvement of resolution acuity was found for all workloads relative to the non-exercise control session, for all other workloads relative to the 300 kpm/3 min. workload, and for the 1100 kpm/6 min. workload relative to the 300 kpm/6 min. and the 700/3 min. workloads. Increases in duration or intensity of exercise significantly improved resolution acuity. There was no significant interaction of the variables of intensity and duration of work on resolution acuity.

Assessment of a Cultural Competency Program in Podiatric Medical Education

2016 ◽  
Vol 106 (1) ◽  
pp. 68-75 ◽  
Author(s):  
Kevin M Smith ◽  
Simon Geletta ◽  
Travis Langan
Keyword(s):  
Knowledge Acquisition ◽  
Cultural Competency ◽  
Analysis Of Variance ◽  
Repeated Measures ◽  
Significant Interaction ◽  
Attitudinal Change ◽  
Significant Interaction Effect ◽  
Change Scores ◽  
Repeated Measures Analysis ◽  
Competency Program

Background: Des Moines University College of Podiatric Medicine and Surgery (CPMS) is implementing a cultural competency program for third-year podiatric medical students. This study assessed the effectiveness of the new educational program on cultural competency at CPMS by comparing pretest and posttest scores of students from the CPMS graduating classes of 2013 and 2014.Methods: Students from the class of 2013 completed a 10-week online course on cultural competency, and the class of 2014 students did not. A pretest and posttest survey was used to assess cultural competency. The questions were categorized to assess either knowledge acquisition or attitudinal change. The 2013 students completed the pretest before the course and a posttest after completing the course. Without taking the course, 2014 students completed the same pretest and posttest separated by 10 weeks. A repeated-measures analysis of variance was used to compare the knowledge acquisition scores and attitudinal change scores.Results: The repeated-measures analysis of variance revealed a significant interaction effect of taking the attitudinal change course (F(1,77) = 15.2; P < .001). The course did not show a significant interaction on knowledge acquisition (F(1,77) = 0.72; P > .05).Conclusions: The analysis showed a statistically significant improvement in attitudinal change scores. The study suggests that there needs to be a greater knowledge acquisition component to the cultural competency course at CPMS.

Incremental Exercise in Dynamic Visual Acuity

2005 ◽  
Vol 101 (2) ◽  
pp. 657-664
Author(s):  
Duane Millslagle ◽  
Anna DeLarosby ◽  
Sara VonBank
Keyword(s):  
Visual Acuity ◽  
Analysis Of Variance ◽  
Retention Test ◽  
Repeated Measures ◽  
Incremental Exercise ◽  
Dynamic Visual Acuity ◽  
Visual Functions ◽  
College Age ◽  
Repeated Measures Analysis ◽  
Intensity Of Exercise

As research is limited the purpose of this study was to investigate dynamic visual acuity while cycling at different exercise loads. Accuracy of dynamic visual acuity scores of 20 college-age participants was analyzed by a repeated-measures analysis of variance which indicated improved dynamic visual acuity during cycling as the intensity of exercise increased. A retention test conducted two days after testing yielded evidence of trainability of dynamic visual acuity. In the discussion findings were compared to other visual functions associated with exercise.

Location, Location, Location: Accelerometer Placement Affects Steps-Based Physical Activity Outcomes During Pregnancy and Postpartum

2021 ◽  
pp. 155982762110304
Author(s):  
Mallory R. Marshall ◽  
Alexander H. K. Montoye ◽  
Michelle R. Conway ◽  
Rebecca A. Schlaff ◽  
Karin A. Pfeiffer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Repeated Measures ◽  
Time Points ◽  
Repeated Measures Analysis ◽  
Pregnancy And Postpartum ◽  
Vigorous Intensity ◽  
The Right ◽  
Physical Changes ◽  
Intensity Classification ◽  
Measurement Validity

As pregnancy progresses, physical changes may affect physical activity (PA) measurement validity. n = 11 pregnant women (30.1 ± 3.8 years) wore ActiGraph GT3X+ accelerometers on the right hip, right ankle, and non-dominant wrist for 3–7 days during the second and third trimesters (21 and 32 weeks, respectively) and 12 weeks postpartum. Data were downloaded into 60-second epochs from which stepping cadence was calculated; repeated-measures analysis of variance was used to determine significant differences among placements. At all time points, the wrist accelerometer measured significantly more daily steps (9930–10 452 steps/d) and faster average stepping cadence (14.5–14.6 steps/min) than either the hip (4972–5944 steps/d, 7.1–8.6 steps/min) or ankle (7161–8205 steps/d, 10.3–11.9 steps/min) placement, while moderate- to vigorous-intensity activity at the wrist (1.2–1.7 min/d) was significantly less than either hip (3.0–5.9 min/d) or ankle (6.1–7.3 min/d). Steps, cadence, and counts were significantly lower for the hip than the ankle at all time points. Kappa calculated for agreement in intensity classification between the various pairwise comparisons ranged from .06 to .41, with Kappa for hip–ankle agreement (.34–.41) significantly higher than for wrist–ankle (.09–.11) or wrist–hip (.06–.16). These data indicate that wrist accelerometer placement during pregnancy likely results in over counting of PA parameters and should be used with caution.

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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