Spss Data Analysis

Application 2

The purpose of this study was to determine the descriptive statistics such as mean, standard deviation, variance and range for the following variables: (a) number of employees, (b) hours worked, (c) safety behavior, (d) injury rate, and (e) safety climate. Further we tried to find the relationship between variables ‘safety climate’ and ‘injury rate’ using line plot and simple regression analysis.

I measured nine variables for purposes of this study. At both sites, supervisors provided data at each location, including the number of employees reporting to each supervisor. The gender of supervisors was also noted. Regular observations of employee behavior were made over the 12 month period by independent trained objective observers. This represents the percentage of those behaviors that were deemed to represent safe acts by the observer. Operations for supervisors differed in terms of activities and risks were noted. Risks ranged from low (1) office-related activities to high (7) manual material handling activities. Average employee perception of the supervisor’s priority for safety and health over the 12 month period was also measured. Climate was measured 4 times during the 12 month period.

The descriptive statistics for the variables under study was given in table below.

Table 1: Descriptive Statistics |

  | N | Range | M | SD | Variance |

Number of Employees | 51 | 40.00 | 24.020 | 7.495 | 56.180 |

Hours Worked | 51 | 83200.00 | 49960.784 | 15590.236 | 243055455.373 |

Percentage Safe Behavior | 51 | .58 | 0.865 | 0.139 | 0.019 |

Injury Rate | 51 | 76.92 | 15.175 | 17.474 | 305.357 |

Safety Climate | 51 | 4.30 | 4.697 | 1.035 | 1.071 |

The study includes 51 locations from three cities. The average number of employees assigned to supervisor was 24.02 (SD=7.497).The range of number of employees was 40 (see Table 1). The average number of hours worked by employees in the area/team for the 12 month period ending was 49960.784 (SD =...