The Applicability of the Poincaré Plot in the Analysis of Variability of Reaction Time during Serial Testing
Abstract
:1. Introduction
2. Materials and Methods
2.1. Participants and Type of Study
2.2. Data Acquisition
2.3. Outcomes and Statistical Analysis
3. Results
3.1. Respondents
3.2. Summary Characteristics of the Study Participants
3.3. Reliability of the RT Serial Test
3.4. Correlation Analysis for the Recorded Variables
3.5. Simple Linear Logistic Regression Analysis
3.6. Ordinal Regression Analysis
3.7. Multiple Regression Analysis
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variable | Age Years | SRH | SRA | RT ms | SD1 ms | SD2 ms | AFE ms2 | SD1/SD2 |
---|---|---|---|---|---|---|---|---|
Mean | 42.33 | 2.37 | 1.71 | 344.59 | 81.11 | 85.68 | 24604.19 | 0.96 |
SD | 21.12 | 0.90 | 0.89 | 119.94 | 31.68 | 34.47 | 17178.73 | 0.21 |
Variable | Age Years | SRH | SRA | RT ms | SD1 ms | SD2 ms | AFE ms2 | SD1/SD2 | |
---|---|---|---|---|---|---|---|---|---|
men | Mean | 41.83 | 2.36 | 1.73 | 333.85 | 80.95 | 85.31 | 24443.93 | 0.96 |
SD | 21.64 | 0.86 | 0.95 | 127.59 | 32.12 | 33.92 | 16814.49 | 0.21 | |
women | Mean | 42.89 | 2.38 | 1.68 | 356.86 | 81.31 | 86.10 | 24787.34 | 0.97 |
SD | 20.68 | 0.95 | 0.83 | 110.41 | 31.46 | 35.39 | 17736.77 | 0.22 |
Parameter | t | p |
---|---|---|
Mean age men (n = 64) versus mean age women (n = 56) | 0.27 | 0.78 |
Mean SRH men (n = 64) versus mean SRH women (n = 56) | 0.09 | 0.92 |
Mean SRA men (n = 64) versus mean SRA women (n = 56) | 0.34 | 0.73 |
Mean RT men (n = 64) versus mean RT women (n = 56) | 1.05 | 0.29 |
Mean SD1 men (n = 64) versus mean SD1 women (n = 56) | 0.06 | 0.95 |
Mean SD2 men (n = 64) versus mean SD2 women (n = 56) | 0.12 | 0.90 |
Mean AFE men (n = 64) versus mean AFE women (n = 56) | 0.11 | 0.91 |
Mean SD1/SD2 men (n = 64) versus mean SD1/SD2 women (n = 56) | 0.15 | 0.88 |
Variable | Age | Sex | Profession | SRH | SRA | RT | SD1 | SD2 | AFE | SD1/SD2 |
---|---|---|---|---|---|---|---|---|---|---|
Age | 1.00 a | |||||||||
Sex | 0.05 a | 1.00 a | ||||||||
Profession | 0.74 a | −0.06 a | 1.00 a | |||||||
SRH | 0.30 a | 0.02 a | 0.36 a | 1.00 a | ||||||
SRA | 0.21 a | −0.01 a | 0.20 a | 0.41 a | 1.00 a | |||||
RT | 0.79 b | 0.18 a | 0.57 a | 0.24 a | 0.20 a | 1.00 b | ||||
SD1 | 0.23 b | −0.01 a | 0.41 a | 0.43 a | 0.25 a | 0.42 b | 1.00 b | |||
SD2 | 0.09 b | 0.01 a | 0.25 a | 0.41 a | 0.15 a | 0.26 b | 0.81 b | 1.00 b | ||
AFE | 0.13 b | 0.01 a | 0.35 a | 0.44 a | 0.22 a | 0.32 b | 0.91 b | 0.95 b | 1.00 b | |
SD1/SD2 | 0.32 b | 0.01 a | 0.18 a | −0.01 a | 0.19 a | 0.36 b | 0.38 b | −0.19 b | 0.03 b | 1.00 b |
Variable | R | R Square | Adjusted R Square | SE | F | p | β0 | SE | p | 95%LB | 95%UB | β1 | SE | p | 95%LB | 95%UB |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
RT | 0.79 | 0.63 | 0.63 | 73.10 | 202.39 | 0.001 | 153.53 | 15 | 0.001 | 123.83 | 183.22 | 4.51 | 0.32 | 0.001 | 3.89 | 5.14 |
SD1 | 0.23 | 0.05 | 0.05 | 30.94 | 6.77 | 0.01 | 66.33 | 6.35 | 0.001 | 53.76 | 78.90 | 0.35 | 0.13 | 0.01 | 0.08 | 0.62 |
SD2 | 0.09 | 0.008 | −0.0008 | 34.48 | 0.90 | 0.34 | 79.65 | 7.07 | 0.001 | 65.65 | 93.66 | 0.14 | 0.15 | 0.343 | −0.15 | 0.44 |
AFE | 0.13 | 0.02 | 0.01 | 17096.7 | 2.14 | 0.15 | 20003.73 | 3507.58 | 0.001 | 13057.77 | 26949.70 | 108.69 | 74.22 | 0.145 | −38.28 | 255.66 |
SD1/SD2 | 0.32 | 0.10 | 0.10 | 0.20 | 13.72 | 0.001 | 0.82 | 0.04 | 0.001 | 0.74 | 0.91 | 0.003 | 0.001 | 0.001 | 0.001 | 0.01 |
Variable | Model Fit | Pseudo R-Square Nagelkerke | Parameter Estimates | ||||||
---|---|---|---|---|---|---|---|---|---|
Chi Square | p | Estimate | SE | Wald | p | 95%LB | 95%UB | ||
RT | 9.90 | 0.002 | 0.09 | 0.005 | 0.001 | 10.62 | 0.001 | 0.002 | 0.008 |
SD1 | 25.65 | 0.001 | 0.21 | 0.029 | 0.006 | 23.49 | 0.001 | 0.017 | 0.041 |
SD2 | 23.93 | 0.001 | 0.20 | 0.025 | 0.005 | 21.17 | 0.001 | 0.014 | 0.036 |
AFE | 30.69 | 0.001 | 0.25 | 0.001 | 0.001 | 26.61 | 0.001 | 0.001 | 0.001 |
SD1/SD2 | 0.057 | 0.812 | 0.001 | 0.193 | 0.784 | 0.061 | 0.806 | −1.343 | 1.729 |
Variable | R | R Square | Adjusted R Square | SE | F | p | Regression Equation |
---|---|---|---|---|---|---|---|
RT | 0.80 | 0.63 | 0.63 | 73.32 | 100.74 | 0.001 | z = 4.46 * x + 4.26 * y + 145.47 |
SD1 | 0.46 | 0.21 | 0.20 | 28.36 | 15.73 | 0.001 | z = 0.16 * x + 14.70 * y + 39.55 |
SD2 | 0.44 | 0.19 | 0.18 | 31.29 | 13.69 | 0.001 | z = −0.08 * x + 17.19 * y + 48.35 |
AFE | 0.48 | 0.23 | 0.22 | 15182.26 | 17.68 | 0.001 | z = −11.26 * x + 9296.89 * y + 3078.20 |
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Iconaru, E.I.; Ciucurel, M.M.; Georgescu, L.; Tudor, M.; Ciucurel, C. The Applicability of the Poincaré Plot in the Analysis of Variability of Reaction Time during Serial Testing. Int. J. Environ. Res. Public Health 2021, 18, 3706. https://doi.org/10.3390/ijerph18073706
Iconaru EI, Ciucurel MM, Georgescu L, Tudor M, Ciucurel C. The Applicability of the Poincaré Plot in the Analysis of Variability of Reaction Time during Serial Testing. International Journal of Environmental Research and Public Health. 2021; 18(7):3706. https://doi.org/10.3390/ijerph18073706
Chicago/Turabian StyleIconaru, Elena Ioana, Manuela Mihaela Ciucurel, Luminita Georgescu, Mariana Tudor, and Constantin Ciucurel. 2021. "The Applicability of the Poincaré Plot in the Analysis of Variability of Reaction Time during Serial Testing" International Journal of Environmental Research and Public Health 18, no. 7: 3706. https://doi.org/10.3390/ijerph18073706