athletes. 19 Variations in IMTP kinetics reported across the literature may be partially explained by methodological differences. 2 , 8 , 13 , 16 , 18 Early research used a sampling frequency of 500 Hz and 600 Hz, 8 , 13 whereas more recent investigations have implemented a sampling frequency of 1000 Hz
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Thomas Dos’Santos, Paul A. Jones, Jonathan Kelly, John J. McMahon, Paul Comfort, and Christopher Thomas
Yani L. Dickens, Judy Van Raalte, and Russell T. Hurlburt
-aloud methods presume that thinking translates easily and contemporaneously into words, typically focus on thoughts at the expense of other inner experiences such as emotions or sensations, lack random and representative sampling in favor of ongoing, continuous real-time reporting ( Hurlburt, 2011 ), and may be
Scott Small, Sara Khalid, Paula Dhiman, Shing Chan, Dan Jackson, Aiden Doherty, and Andrew Price
and undesirable ( Small et al., 2019 ). In these cases, a reduction of sampling rate would offer the potential for longer continuous physical activity measurement, while reducing patient and caregiver interactions with the monitoring device. Currently, Brønd and Arvidsson ( 2016 ) offer the only side
Kimberly A. Clevenger, Jan Christian Brønd, Daniel Arvidsson, Alexander H.K. Montoye, Kelly A. Mackintosh, Melitta A. McNarry, and Karin A. Pfeiffer
are stored, and the user is able to select the sampling rate, in 10 Hz increments, from 30 to 100 Hz ( John & Freedson, 2012 ). As these functionalities were introduced, several researchers have focused on the development of acceleration-based metrics, and have used a variety of sampling rates ( de
Senia Smoot Reinert, Allison L. Kinney, Kurt Jackson, Wiebke Diestelkamp, and Kimberly Bigelow
movement quality because they only give the maximum displacement of COP. However, newer nonlinear analysis methods, such as sample entropy, allow us to describe movement quality. Sample entropy quantifies the underlying regularity of human movements and has been used to study phenomena such as the effect
Kevin G. Aubol and Clare E. Milner
In field measurements of peak axial and resultant tibial acceleration during running are becoming increasingly common with the availability of wearable devices containing accelerometers. However, sampling frequencies vary between studies. Studies have used sampling frequencies between 100 and 2400
Megan S. Patterson and Patricia Goodson
compulsive exercise scores? Based on the tripartite model and previous literature, the investigators expect relationships with peers and family members to significantly impact compulsive exercise scores in the sample. They also hypothesize that having greater body dissatisfaction and exercising more
Daniel J. Madigan, Thomas Curran, Joachim Stoeber, Andrew P. Hill, Martin M. Smith, and Louis Passfield
al., 2011 ). Notably, Gotwals et al. ( 2010 ) also found coach pressure to predict perfectionistic strivings and perfectionistic concerns in a sample of late-adolescent athletes. Although current findings are suggestive of a link between coach pressure and athlete perfectionism, several issues remain
Joseph Hamill, Graham E. Caldwell, and Timothy R. Derrick
Researchers must be cognizant of the frequency content of analog signals that they are collecting. Knowing the frequency content allows the researcher to determine the minimum sampling frequency of the data (Nyquist critical frequency), ensuring that the digital data will have all of the frequency characteristics of the original signal. The Nyquist critical frequency is 2 times greater than the highest frequency in the signal. When sampled at a rate above the Nyquist, the digital data will contain all of the frequency characteristics of the original signal but may not present a correct time-series representation of the signal. In this paper, an algorithm known as Shannon's Sampling Theorem is presented that correctly reconstructs the time-series profile of any signal sampled above the Nyquist critical frequency. This method is superior to polynomial or spline interpolation techniques in that it can reconstruct peak values found in the original signal but missing from the sampled data time-series.
Philip Sullivan and Laura Tennant
wait-listed control group. The purpose of this study was to examine the relationship between MHL and confidence in acting for individuals with mental illness in a sample of student athletic therapists. It was hypothesized that all factors of MHL would be significant predictors of behavioral confidence
