Hi
I am trying to analyse the effectiveness of strength training program on time trial performance for different sports, running, cycling swimming etc. As the distances, mode and unit of measurements are different, i don't think i can simply analyse it based on the absolute change in performance. Apart from converting to % change, is there any other way to do it?
E.g. Running (s) - Pre: 100 (SD 10), Post: 90 (SD 9)
Cycling (W) - Pre: 240 (SD 24), Post: 260 (SD 26)
There are many ways of doing it which would depend on your research question and how you would like the outcome (i.e. result) to be, and more importantly, the data you have recorded in order to answer that. Therefore, before anyone answers your question one must understand what those are.
Nonetheless, If I get it right, seems like you would like to (somehow) calculate a score that would serve to all modalities. Is that right? If yes, and you don't have metabolic data (which would be the best way of answering your question) you could simply calculate the Workload performed using prediction equations for the modalities you want to investigate. This could be in total Watts or Energy expended during the exercise test (e.g. Kcal/session) or others... Check these references (ACSM guidelines, provided below), look for the prediction formula of the modality you are interested to calculate and use your values to calculate. You probably have speed/incline, people's weight, time exercising etc -- That would do. If this is not what you want, I am sure this reference could help you somehow. Hope that helps. Good Luck.
Whaley, Mitchell H., Brubaker, Peter H., Otto, Robert M., Armstrong, Lawrence E. ACSM's guidelines for exercise testing and prescription. 2006.
Here are some ways and information that may be of help to you for swimming and cycling.
Monitoring Interval-training Responses for Swimming using the 3min All-out Exercise Test Coutright S.P. et al. International Journal of Exercise Science 9(5): 545-553, 2016.
Validity of Postexercise Measurements to Estimate Peak VO2 in 200-m and 400-m Maximal Swims Rodriguez F.P. et al. Int J Sports Med 2017; 38(06): 426-438
Mechanical Effectiveness and Coordination: New Insights into Sprint Cycling Performance Feb 2018 Sylvian Dorel
Biomechanics of Training and Testing pp 33-62 2018
Hi Danny,
Interesting question. One option would be to use an effect size statistic, such as Cohen's d, to capture the change in performance. The magnitude of the change (d) would be in units of standard deviations, which should allow you to compare studies/programs that utilized different outcome measures. This concept is how meta-analyses combine data from various studies using different outcome measures.
d = (Xbar_post - Xbar_pre)/ SD_pre
Running (s):
d = (90 - 100) / 10 = -1.0 SD (reduction in time to complete task)
Cycling (W):
d = (260 - 240) / 24 = 0.8 SD (increase in power)
This is very similar to comparing the percent change, since you are essentially just expressing the magnitude of the change in consistent units.
Sorry if I misunderstood your question. Hope this helps.
Gus
Hi,
I agreed with Thomas Gus answer,s about the effect size for comparison between runner or cycling, but I do not think that it is true that we use the exact strength training for all sport. because, performance in sports in response to a specific practice is different.
Sorry if I misunderstood your question.
Mahmoud
In my opinion, we can not claim that we can compare these athletes without any problems. However, there are ways to make a comparison. It would be possible to use the effect size such as cohen d and report that the exercise had more effect on which athletes. Of course, this comparison is merely a comparison of the effect size value and the statistically significant expression can not be used. You can also calculate and compare the amount of progress following the training program (% improvement).
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