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- All Subjects: sports
- Creators: Walter Cronkite School of Journalism & Mass Comm
- Status: Published
For decades, women in the field of sports media have battled for equality with their male counterparts. In 1972, Title IX was passed, stating that “no person in the United States shall, on the basis of sex, be excluded from participation in, be denied the benefits of, or be subject to discrimination under any educational program or activity receiving Federal financial assistance.” In 1978, the iconic court case, Melissa Ludtke and Time Inc., v. Bowie Kuhn, Commissioner of Baseball, confirmed that the Fourteenth Amendment guarantees that women should be given the same rights as men, specifically in regards to locker room access. Today, legally women and men in the field of sports media have the same rights. But many people would argue that is not the case. In the five decades succeeding these milestones, women have continued their fight for a more level playing field. Women in sports media are largely stereotyped, they are often judged based on their looks not their knowledge, they are underrepresented in a field that is male dominated. It could be assumed most women working in sports media have at least one instance where they have been judged on the basis of sex. And in 2021, sexual harassment allegations are still being made in the industry.. How will the events of this decade shape the future for women in this field? What strides are left to be made and how will they be achieved?
A dynamical approach is used to avoid isolating systems and instead view systems as interacting together. The current study applied a dynamical approach to heart rate variability and personality. There were two main research questions that this study sought to answer with a dynamical analysis of heart rate variability and personality: “Can we listen to a heartbeat and draw connections to behavior and personality?” and “Is dynamical analysis more effective than traditional analysis at finding correlations between heart rate variability and personality?” To answer these questions a dynamical analysis of heart rate variability was conducted (detrended fluctuation analysis; DFA) along with traditional analysis (standard deviations of NN intervals, SDNN, and root mean squared of successive deviations, RMSSD) and then correlations between heart rate variability measures and personality traits from the Big Five Inventory, Positive and Negative Affect schedule, and State-Trait Anxiety Inventory were examined. Data for this study came from the Rapid Automatic & Adaptive Model for Performance Prediction (RAAMP2) Dataset that was part of The Multimodal Objective Sensing to Assess Individuals with Context (MOSAIC) project. There were no statistically significant correlations between heart rate variability and personality. However, there were notable correlations between extraversion and SDNN and RMSSD and between positive affect and SDNN and RMSSD. We found that SDNN and RMSSD were more closely correlated to each other compared to DFA to either measure. This suggests that DFA can provide information that SDNN and RMSSD do not. Future research can explore dynamic analysis of heart rate variability and other nested systems.