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Reaction Time of Firefighters - Research Paper Example

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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).
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Reaction Time of Firefighters
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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. . 499.25007.804913.9024686.8306111.669489.00108.0024 hour shift490.750015.305237.6526166.3960115.104068.00101.00Total1297.250010.938883.1577890.2998104.200268.00110.00It 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 NMeanStd. DeviationStd. Error95% Confidence Interval for MeanMinimumMaximum Lower BoundUpper Bound day shift498.75006.551083.2755488.3258109.174293.00107.00night shift498.75006.184663.0923388.9088108.591295.00108.0024 hour shift476.750019.379979.6899945.9121107.587948.0090.00Total1291.416715.553184.4898281.5346101.298748.00108.

00Color 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 IdentificationRT color identification beginning of shift NMeanStd. DeviationStd. Error95% Confidence

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