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    Analysis of a Correlation Study

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    Hi, please read the article "Strength and Power Predictors of Sports Speed." See attachment.

    One of the point of this class is to help me become better consumers of research literature through understanding the methods and workings of scientific research. Therefore, please consider this as you read the article and be sure to check for any clarification of terms and methods presented in the article.

    My potentials questions are the followings (or thoughts to address):

    Were the strength measures in this study predictors of sports speed (e.g. significant correlation between strength measures and 5-m, 10-m, and 30-m sprint times)? Were the power measures shown to be significant predictors?

    If the correlations between power and speed, expressed as "r or Pearson r", accounted for only a little, at most half, of the speed prediction (e.g. r squared) - what else accounts for sports speed if power doesn't explain it all??

    Feel free to address the above questions as well as express how you might apply these findings in a practical setting or in your professional work. ( THE PERSONAL TRAINING INDUSTRY)

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    Solution Preview


    Interesting study and questions! What do you think of the study? Let's take a closer look at the questions based on the findings reported by the authors.



    Cronin and Hansen's (2005) article "Strength and power predictors of sports speed. J. Strength Cond. Res. 19(2):349-357" is an interesting study which found some unexpected non-relationships. As a background for the study, research found that for many sporting activities, initial speed rather than maximal speed would be considered of greater importance to successful performance.

    The purpose of this study was to identify the relationship between strength and power and measures of first-step quickness (speed) (5-m time), acceleration (10-m time), and maximal speed (30-m time) using an correlational design. The maximal strength (3 repetition maximum [3RM]), power (30-kg jump squat, countermovement, and drop jumps), isokinetic strength measures (hamstring and quadriceps peak torques and ratios at 60°·s−1 and 300°·s−1) and 5-m, 10-m, and 30-m sprint times of 26 part-time and full-time professional rugby league players (age 23.2 ± 3.3 years) were measured. Cronin and Hansen (2005) specifically examined the importance of the strength and power measures (independent variables) on sprint performance (dependent variable). Specifically, the 26 part-time and full-time professional rugby league players (age 23.2 ± 3.3 years) were assessed using ...

    Solution Summary

    In reference to the article, this solution addresses aspects of validity and reliability of the study e.g., measures as significant predictors, relationship strength, etc.