The Development a New Device to Measure of Audial and Visual Reaction Time in Hand and Foot (Validity and Reliability Study)
Bibliographic record
Abstract
The determining the reaction time is a widely used as an indicator in sportive performance and field of exercise physiology. The purpose of this study is to develop a new reaction times device (NRTD) to determine both hand and foot visual and auditory reaction times, which is practical and economical. In the developed system to be obtained are kept in a database which is all necessary the intervals between stimuli for the reaction variable and all records. The system consists of software loaded on a computer and buttons specially prepared for hands and feet. The buttons are designed for precise measurement. The software of the program is written with Visual Basic program. The program can be recorded different features separately for each subject in the database except the reaction times. Also the system metrics can be presentedas a report to the user. While comparisons were made with the Newtest 1000 reaction device to determine the validity of the tool we developed, repeated measurements were made on the same group each week to determine its reliability. Measurements were carried out on 52 male students studying in Erzincan University's School of Physical Education and Sports. The resulting data were examined in SPSS 22.0 statistical package program for Windows. Independent Student T-test was used to compare two devices; Paired Sample T-test was used to compare repeated measurements of NRTD. No significant difference was detected statistically between neither right nor left-hand visual reaction times conducted with the device we have developed and Newtest 1000, or the repeated measurement results which were conducted each week with NRTD. It was concluded that NRTD is valid and reliable to measure reaction time and is an ideal measurement tool to measure both hand and foot reaction times.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".