Require assistance with possible ANOVA use

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SUMMARY

The discussion centers on the appropriate statistical analysis for examining sex-related differences in grip strength based on anthropometric measurements, specifically skin-fold adjusted forearm girth. The participant data includes 18 males and 18 females. The consensus is that a simple ANOVA is suitable for this analysis, provided the assumptions of ANOVA are met. However, concerns are raised regarding the sample size's adequacy for achieving statistically significant results.

PREREQUISITES
  • Understanding of ANOVA (Analysis of Variance) principles
  • Familiarity with anthropometric measurements and their significance
  • Knowledge of statistical significance and sample size considerations
  • Basic proficiency in statistical software for data analysis
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  • Research the assumptions of ANOVA and how to test them
  • Learn about sample size determination for statistical analyses
  • Explore the use of statistical software like SPSS or R for conducting ANOVA
  • Investigate alternative statistical methods if sample size is inadequate
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Researchers, statisticians, and students in fields such as kinesiology, sports science, and health sciences who are analyzing grip strength and anthropometric data.

Dants
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I have recorded the dominant hand strength from all of my participants. I have also recorded a number of anthropometric properties of my participants, including a measure of skin-fold adjusted forearm girth, with the intention of estimating the amount of musculature in the forearm. I have recorded this data from 18 males and 18 females.

I would like to illustrate the interpretation of any sex-related differences in grip strength that might i fI consider the amount of musculature in the forearm.

Am I correct to assume that I should be using a simple ANOVA for this analysis?

Thanks,

Dants
 
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Could be wrong, but I don't think your sample size is large enough to get a statistically significant result, assuming there was one.
 
I have yet to start the analytics. I was more so inquiring about which analysis was appropriate to use in order to find the results.
 
If the assumptions of ANOVA are satisfied, you should be good to go.
 

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