Forecasting of Stature from the Step Length while Walking and Toe Walking

Main Article Content

Punyaporn Trakulsillatham
Noparuj Saksiri

Abstract

The study aims to 1) determine the relationship between stature and step length while walking and toe walking, along with generated the forecasted equation, and 2) investigate the difference in step length between walking and toe walking. 173 samples were collected by measuring the step length while walking and toe walking. Descriptive statistics such as frequency, percentage, standard deviation, and reference statistics, including Karl Pearson’s correlation, linear regression analysis, and paired sample t-test, were used for analyzing the data. The findings showed: 1) In samples, the significant relationship between stature and step length of walking were r=0.953, which can forecast 90.8%. The equation was y=110.241+0.978x when classified by gender, for females were r=0.975 and for males were r=0.948. Furthermore, we found a significant relationship between stature and the step length of toe walking in samples, r=0.880, which can forecast 77.5%. The equation was y=114.738+0.880x when classified by gender, for females were r=0.811 and for males were r=0.852. 2) In samples, the step length of toe walking was greater than the step length of walking, with statistical significance at the level of 0.01, such that the average step length of toe walking was 56.848 while the step length of walking was 55.736. When classified by gender, the average step length of toe walking for females was 53.381 while the step length of walking was 52.589, and the average step length of walking for males was 60.692 while the step length of walking was 52.589.

Article Details

How to Cite
Trakulsillatham, P., & Saksiri, N. . (2022). Forecasting of Stature from the Step Length while Walking and Toe Walking. Rajamangala University of Technology Tawan-Ok Research Journal, 2565(2), 63–73. Retrieved from https://li01.tci-thaijo.org/index.php/researchjournal2rmutto/article/view/254217
Section
Research article
Author Biographies

Punyaporn Trakulsillatham, Silpakorn University

Forensic Science program, Faculty of Science,

Noparuj Saksiri, Royal Police Cadet Academy

Faculty of Social Science

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