Abstract

This study aims at validating the Staff Satisfaction Index (SSI) and the Happy Career (HC) scale for in-service firefighters. The SSI consists of two dimensions, namely, protection against hazards at work and welfare, with 16 subdimensions. A total of 6970 data points were collected via the Internet. Both dimensions of the SSI were regressed on the HC scale using partial least square structural equation modelling. The dimensions satisfied all measurements and structural model assessments. Protection against hazards at work (β = 0.370, p < 0.001 ) and welfare (β = 0.375, p < 0.001 ) explained 46.6% of the happiness variance. Both dimensions displayed small-to-medium effect sizes and relevance to predicting happiness (Q2 = 0.339). Implications of the findings are discussed further.

Highlights

  • Firefighter’s duties are unique and unpredictable, depending on their assigned tasks in an undetermined work environment in times of crisis. erefore, firefighter’s satisfaction and feelings of happiness while performing their duties are worth exploring as a platform for continuous improvement in managing employee safety, health, and welfare issues. e typical employee satisfaction questionnaire is not suitable to be administered to firefighters because the developed items are generic and lack transcultural adaptation for in-service firefighters. erefore, a tailor-made tool to measure the firefighter’s level of satisfaction and happiness at work is needed

  • The scale is needed to complete the statistical analysis. It consists of five multidimensional items capturing meaning, personality, fit, work environment, and skill utilization. e items were derived from the literature [6], data from unstructured interviews with in-service firefighters, and the authors’ personal observations. is study aims at using confirmatory factor analysis (CFA) to validate that the generated items fit the hypothetical structure

  • Subdimensions of protection included personal protection suit (PPS, 5 items), workspace (WS, 3 items), equipment used for operation or work (EQUIPMENT, 7 items), documentation related to standard operating procedures or work manual (DOC, 4 items), addressing occupational safety and health issues (OSH, 5 items), workload (WL, 5 items), psychological care (PSYCARE, 6 items), physical fitness (FIT, 6 items), health surveillance (HSURV, 4 items), and supervision (SV, 3 items)

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Summary

Introduction

Firefighter’s duties are unique and unpredictable, depending on their assigned tasks in an undetermined work environment in times of crisis. erefore, firefighter’s satisfaction and feelings of happiness while performing their duties are worth exploring as a platform for continuous improvement in managing employee safety, health, and welfare issues. e typical employee satisfaction questionnaire is not suitable to be administered to firefighters because the developed items are generic and lack transcultural adaptation for in-service firefighters. erefore, a tailor-made tool to measure the firefighter’s level of satisfaction and happiness at work is needed. Erefore, a tailor-made tool to measure the firefighter’s level of satisfaction and happiness at work is needed. Our satisfaction measurement omitted teamwork among coworkers because of firefighters’ strong bond in providing fire protection and suppression services and responding to other types of crises. This facet was considered inappropriate to include. A Happy Career (HC) scale was developed to measure positive emotions while performing assigned firefighter duties. The scale is needed to complete the statistical analysis It consists of five multidimensional items capturing meaning, personality, fit, work environment, and skill utilization. It consists of five multidimensional items capturing meaning, personality, fit, work environment, and skill utilization. e items were derived from the literature [6], data from unstructured interviews with in-service firefighters, and the authors’ personal observations. is study aims at using confirmatory factor analysis (CFA) to validate that the generated items fit the hypothetical structure

Methodology
Analysis and Results
Measurement Model Analysis
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