March 3, 2009
Assessment of Rifle Marksmanship Skill Using Sensor-Based Measures
Authors:
Sam O. Nagashima, Gregory K. W. K. Chung, Paul D. Espinosa, Chris Berka, and Eva L. Baker
The goal of this report was to test the use of sensor-based skill measures in evaluating performance differences in rifle marksmanship. Ten shots were collected from 30 novices and 9 experts. Three measures for breath control and one for trigger control were used to predict skill classification. The data were fitted with a logistic regression model using holdout validation to assess the quality of model classifications. Individually, all four measures were significant; when considered together, only three measures were significant predictors for level of expertise (p < .05). Overall percent correct in shot classification for the testing data was 90.0%, with a sensitivity of 67.5%, and 96.0% specificity.
Nagashima, S. O., Chung, G. K. W. K., Espinosa, P.D., Berka, C., & Baker, E. L. (2009). Assessment of rifle marksmanship skill using sensorbased measures (CRESST Report 755). Los Angeles: University of California, Los Angeles, National Center for Research on Evaluation, Standards, and Student Testing (CRESST).|Nagashima, S. O., Chung, G. K. W. K., Espinosa, P.D., Berka, C., & Baker, E. L. (2009). Assessment of rifle marksmanship skill using sensorbased measures (CRESST Report 755). Los Angeles: University of California, Los Angeles, National Center for Research on Evaluation, Standards, and Student Testing (CRESST).