Related Experiment Video
Updated: Jul 15, 2026

Non-invasive Assessments of Subjective and Objective Recovery Characteristics Following an Exhaustive Jump Protocol
Published on: June 8, 2017
Individual Monitoring of the Countermovement Rebound Jump in Division I Female Basketball Players Across a
Jamie J Ghigiarelli1, Dominick V Saldutti2, Ofra A Pottorf1
1Department of Allied Health and Kinesiology, Hofstra University, Hempstead, New York; and.
Abstract:
Ghigiarelli, JJ, Saldutti, DV, Pottorf, OA, Sell, KM, and Gonzalez, AM. Individual monitoring of the countermovement rebound jump in Division I female basketball players across a competitive season: Using the model statistic and coefficient of variation approach. J Strength Cond Res 39(4): 433-446, 2025-This study monitored neuromuscular fatigue using the countermovement rebound jump (CMRJ) test in 13 Division I female basketball players during a competitive season. The players were tested twice a week by performing 3 sets of 2 jumps on a force plate. Thirteen CMRJ metrics were analyzed across 20 sessions. A combined model statistic and coefficient of variation analysis enabled the use of a single-subject repeated-measures design to detect individual player decrements (fatigue) between testing days and baseline measures. Two-way repeated-measures analysis of covariance between high- and low-minute players was used to analyze CMRJ metrics. Except for a simple main effect of the modified reactive strength index for high-minute players, no other significant main effects were reported for the group, time, or interaction for the remaining CMRJ metrics. The analysis yielded 819 individual fatigues, with the highest percentages of fatigue for the countermovement jump (CMJ) jump height (JH) (12.3%) and CMJ average braking power (12.3%). For the rebound jump, JH exhibited the highest percentage of fatigue (9.9%). Although the results of the team analysis were not significantly different, a select few players contributed to a higher percentage of fatigue, justifying the importance of inspecting the data by individuals in addition to team averages.
Related Concept Videos
Regression Toward the Mean
Variation: Normal Distribution, Range, and Standard Deviation
Coefficient of Variation
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
Empirical Method to Interpret Standard Deviation
This rule is used widely in statistics to calculate the proportion of data values...
Variation
When independent and dependent variables are plotted on a scatter plot, the slope of a line is a value that describes the rate of change between the two...
Standard Deviation of Calculated Results
A broad Gaussian distribution curve has a wider standard deviation, representing a data set with...

