Final answer:
Estimating stature is complex due to the need for accurate methodology, represented by the shift from the Usher model to simpler methods, and the difficulties in collecting representative data, such as for semiprofessional soccer players' heights.
Step-by-step explanation:
Difficulties Affiliated with Stature Estimation
Estimating stature (or height) involves various challenges due to numerous factors that can affect the accuracy of such estimations. One difficulty is that the Usher model, which initially suggested no effect of stature on the risk of death during events like the Black Death, is considered overly complex for assessing stature. Subsequent analyses utilizing simpler and more appropriate methods found that short adult stature did indeed have an effect on risk of death, highlighting the importance of methodology in stature estimation. Furthermore, when collecting data to ensure it is representative, as for male semiprofessional soccer players’ heights, one must consider the sample size, selection criteria, and data collection methods to minimize bias and enhance representativeness.
Moreover, the practice of estimating size in one, two, and three dimensions conducted through educational tools, like PhET Explorations in Estimation, emphasizes the affiliated difficulty levels that can be encountered in the learning process. This further illustrates the complexity and the need for progressive skill improvement in the field of stature estimation.