# Reaction Time of Firefighters - Research Paper Example

Summary
That data were analyzed using a 3 (Shift Type: Day or Evening or 24-Hour) X 2 (Time of Shift: Beginning or End) between-subjects Analysis of Variance (ANOVA) and within-subjects ANOVA. Participants used in the study ranged in age from 32-55. Out of total 12 participants, 11 were male while only one was female firefighter (table 1).

## Extract of sample "Reaction Time of Firefighters"

Download file to see previous pages Similarly, the reaction time of night shift is comparatively higher than that of 10-hours shift (table 3). Thus, the results demonstrate that the firefighters working in 24-hours shift with are more efficient to respond to any emergency call.
Further this hypothesis was tested using the anova test in order to see if there was any equality of variance across the shifts in which the firefighters were performing their job. This test also confirmed the assumption previously discussed that the reaction time increased with 24-hours shift as compared to the day shift and night shift (table 4). Thus, the performance level improves with the increase of shift timing.
It is imparative to describe that in order to eliminate any wrong conclusion, these tests were recorded separaely in the beginning of shift as well as at the end of the shift. The above table shows the response from the beginning of shift while table 5 shows the test recorded at the end of the shift. However the results are consistant as these indacte the same standard deviation and standard error statistics which prove that the with the increase of shift-timing, the response time increases.
The above results show the tests recorded for word identificaiton in the beginning of shift as well as at the end of the shift. ...
4
99.2500
7.80491
3.90246
86.8306
111.6694
89.00
108.00
24 hour shift
4
90.7500
15.30523
7.65261
66.3960
115.1040
68.00
101.00
Total
12
97.2500
10.93888
3.15778
90.2998
104.2002
68.00
110.00
It is imparative to describe that in order to eliminate any wrong conclusion, these tests were recorded separaely in the beginning of shift as well as at the end of the shift. The above table shows the response from the beginning of shift while table 5 shows the test recorded at the end of the shift. However the results are consistant as these indacte the same standard deviation and standard error statistics which prove that the with the increase of shift-timing, the response time increases.
Table 5
RT word identification end of shift

N
Mean
Std. Deviation
Std. Error
95% Confidence Interval for Mean
Minimum
Maximum

Lower Bound
Upper Bound

day shift
4
98.7500
6.55108
3.27554
88.3258
109.1742
93.00
107.00
night shift
4
98.7500
6.18466
3.09233
88.9088
108.5912
95.00
108.00
24 hour shift
4
76.7500
19.37997
9.68999
45.9121
107.5879
48.00
90.00
Total
12
91.4167
15.55318
4.48982
81.5346
101.2987
48.00
108.00
Color identification Test
The above results show the tests recorded for word identificaiton in the beginning of shift as well as at the end of the shift. In orer to see how the firefighters would respond to the color test. In order to further illustrate the assumption, an other test was recorded in which the participants were required to answer to the color identification test. The result are consistant again as the it is confirmed from the table 6 that as the shift-timing increases the response time aslos increase. The same
Table 6 Color Identification
RT color identification beginning of shift

N
Mean
Std. Deviation
Std. Error
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