scholarly journals Equivalence of male and female performance on a tactuospatial maze

1989 ◽  
Vol 27 (1) ◽  
pp. 29-30 ◽  
Author(s):  
Geri R. Alvis ◽  
Jeannette P. Ward ◽  
Deanna L. Dodson
Keyword(s):  
Male And Female ◽  
Female Performance

Social influences on female athletic performance

1976 ◽  
Vol 8 (2) ◽  
pp. 123-129 ◽  
Author(s):  
K. F Dyer
Keyword(s):  
Social Factors ◽  
Athletic Performance ◽  
Social Influences ◽  
World Record ◽  
Male And Female ◽  
Female Performance ◽  
Males And Females ◽  
The Difference ◽  
World Records

The differences between male and female performance in athletic track events at which both compete are compared. It is found that the difference between male and female performance as measured by world records is declining in all events and declining most rapidly in those events in which the differences at the present time are largest. Analysis of national track records for these same events shows considerable differences between different countries in average male/female differentials and the differences between males and females for some events in some countries is much smaller than world record differences.It is concluded that social factors such as differing degrees of encouragement and differing levels of expectation are important factors in limiting female athletic performance.

Determining the Best Track Performances of All Time Using a Conceptual Population Model for Athletics Records

2013 ◽  
Vol 9 (1) ◽  
pp. 67-76 ◽  
Author(s):  
Alec G. Stephenson ◽  
Jonathan A. Tawn
Keyword(s):  
Extreme Value Theory ◽  
Population Model ◽  
Value Theory ◽  
World Record ◽  
Male And Female ◽  
Female Performance ◽  
Exponential Trend ◽  
Track Athletes ◽  
Over Time ◽  
Male Performance

AbstractWhat is the best male and female athletics performance in history? We seek to answer this question for Olympic distance track events by simultaneously modelling race performances over all Olympic distances and all times. Our model uses techniques from a branch of statistics called extreme value theory, and incorporates information on improvements over time using an exponential trend in addition to a process which identifies the changing ability of the population of athletes across all distances. We conclude that the best male performance of all time is the 1968 world record of Lee Evans in the 400 m, and that the best female performance of all time is the current 1988 world record of Florence Griffith-Joyner in the 100 m. More generally, our approach provides a basis for deriving a ranking of track athletes over any distance and at any point over the last 100 years.

Sex differences in athletic potential

1981 ◽  
Vol 13 (S7) ◽  
pp. 117-128
Author(s):  
Elizabeth A.E. Ferris
Keyword(s):  
Sex Differences ◽  
Male And Female ◽  
Female Performance ◽  
Males And Females ◽  
Sporting Performance

SummaryAttention is drawn to fresh data available on female sporting performance and the narrowing gap between male and female performance in many sports. The author discusses attempts made to compare athletic potential in males and females and postulates the existence of a factor called athletic predisposition. The differences in performance amongst males and females possessing this factor are much smaller than in the population at large.

scholarly journals More Similar than Different: Gender Differences in Basic Numeracy are the Exception not the Rule

2017 ◽  
Author(s):  
Jane Hutchison ◽  
Ian M. Lyons ◽  
Daniel Ansari
Keyword(s):  
Gender Differences ◽  
Hypothesis Testing ◽  
Strong Evidence ◽  
Math Achievement ◽  
Male And Female ◽  
Male Advantage ◽  
Female Performance ◽  
Gender Similarities

This study investigates gender differences in children on the basic numerical skills that are predictive of math achievement. Previous research in this area is inconsistent and has relied upon traditional hypothesis testing, which does not allow for assertive conclusions to be made regarding non-significant findings. This study is the first to compare male and female performance (N =1391; ages 6-13) on many basic numerical tasks using both Bayesian and frequentist analyses. The results provide strong evidence of gender similarities on the majority of basic numerical tasks measured, suggesting that a male advantage in foundational numerical skills is the exception rather than the rule.

Social factors influencing female swimming performance

1976 ◽  
Vol 8 (2) ◽  
pp. 131-136 ◽  
Author(s):  
K. F Dyer
Keyword(s):  
Social Factors ◽  
Swimming Performance ◽  
Male And Female ◽  
Physiological Constraints ◽  
Factors Influencing ◽  
Performance Differences ◽  
Female Performance ◽  
World Records

The differences between male and female performance in free style swimming events are compared. It is found that the differences between male and female performance, as measured by world records, is declining in all events and declining most rapidly in those events in which the differences at the present time are largest. Analysis of national records for these events shows important differences between different countries in average male/female differentials.A different set of physical and physiological constraints operate on swimming compared to track performance, but they would seem to be less important in influencing male/female differences. Social factors also seem to be less important in swimming than in track athletics in perpetuating performance differences but are nevertheless still operative.

Analysis of Male and Female Olympic Swimmers in the 100-Meter Events

1990 ◽  
Vol 6 (2) ◽  
pp. 187-197 ◽  
Author(s):  
Patrick Kennedy ◽  
Peter Brown ◽  
Somadeepti N. Chengalur ◽  
Richard C. Nelson
Keyword(s):  
Olympic Games ◽  
Swimming Performance ◽  
Statistical Analyses ◽  
Stroke Rate ◽  
Final Time ◽  
Stroke Length ◽  
Male And Female ◽  
Female Performance ◽  
Dominant Feature

The performance of male and female swimmers (N = 397) competing in the preliminary heats of the four 100-meter swimming events during the Seoul Olympic Games was videotaped and later analyzed to determine stroke rate (SR) and stroke length (SL). These data were combined with age, height, and final time (FT) values for statistical analyses which included the relationships among these variables, comparison of male and female performance, and assessment of differences in the four events. The results revealed the following ranges of correlations between SR and SL (rs from −0.65 to −0.90), SL and FT (rs from −0.32 to −0.80), height and SL (0.19 to 0.58), and age and FT (-0.16 to −.051). The factor of SL was identified as the dominant feature of successful swimming performance. The men were older and taller, had longer stroke lengths and higher stroke rates (two of four events), and swam faster than the women. The differences in final times across the four events (freestyle fastest, breaststroke slowest) were due to specific combinations of SR and SL, with neither parameter being consistently dominant.

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