Related Experiment Video
Updated: Jul 1, 2026

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Does task experience moderate habituation effects in drop jumps? - An intra- and interday reliability and measurement
Konstantin Warneke1, Lukas Guschel2, Nina Claassen3
1Institute of Sustainability Psychology (ISP), Leuphana University Lüneburg, Lüneburg, Germany.
Background:
Drop jumps (DJs) are common tests for determining stretch-shortening cycle efficiency. Despite their wide implementation, numerous studies did not adhere to validity guidelines, and participants reached ground contact times (GCTs) of > 250ms. The DJ is a coordinatively-demanding task and it could be hypothesized that a lack of adherence to GCT thresholds could be attributed to insufficient test familiarization. Accordingly, this study evaluated the impact of extensive task habituation on test-retest reliability and GCT adherence.
Methods:
Eighty-nine healthy participants were allocated to an experienced and inexperienced subgroup. All subjects performed DJs on five days from three different drop heights, with three trials per height (5 × 3 × 3 DJs = 45 jumps). Reliability coefficients and test-retest systematic and random errors were quantified between testing days.
Results:
The inexperienced subgroup showed systematic performance increases between test day 1 and the subsequent days in most evaluated parameters with largest effects obtained for GCTs (up to d = 0.83, p < 0.001). With up to 30%, the MAPEs peaked for reactive strength index (RSI) in the day 1 to day 5 comparison. No systematic test-retest increases occurred in the experienced group, and the random percentage error was meaningfully smaller (16-17% for the RSI).
Conclusion:
The systematic bias observed in the inexperienced subgroup might indicate significant task habituation, while the experienced group was already familiar with the testing procedure and showed no test-retest improvements. Since subgroup measurement errors differed meaningfully (e.g. 16% versus 30% RSI MAPE), future DJ research should provide their own reliability quantifications and sufficient habituation.
