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Utilizing SPSS for a Comprehensive Analysis of Factors Affecting Employee Productivity

In our study, we utilized advanced statistical tools, including the Statistical Package for the Social Sciences (SPSS), to delve into the intricate relationship between various factors and employee productivity. By analyzing data from 321 government employees, we unveiled the significant influence of teamwork, technical knowledge, and adequate authority in driving workforce efficiency. These findings emphasize the importance of fostering a positive work environment and providing employees with the tools and autonomy they need to excel in today's competitive job market.

Problem Description

In a dynamic work environment, understanding the determinants of employee productivity, especially in the context of an SPSS assignment, is essential for organizational success. This study investigates the relationships between various factors, including Teamwork, Technical Knowledge, Adequate Authority, Fair Treatment, and Sick Days, and their influence on employee productivity. By analyzing a sample of 321 government employees working in different bureaucratic departments, we aim to shed light on the key drivers of employee performance.

Literature Review: Research in human resource management highlights the pivotal role of employee-centric practices in enhancing productivity. Scholars have established that motivating employees, promoting teamwork, and ensuring a supportive work environment significantly boost construction workers' productivity (Moyo, Crafford, &Emuze, 2021). The acquisition of technical skills and problem-solving abilities has been linked to improved employee performance (Ibrahim, Boerhannoeddin, & Bakare, 2017). Effective delegation of authority empowers employees to excel in their roles (Ugoani, 2020). Fair treatment within organizations fosters a collaborative and friendly atmosphere, resulting in better outcomes (Schleicher et al., 2019). Contrarily, excessive sick days can disrupt work efficiency (Chimed-Ochir et al., 2019).

Methods: We formulated the following hypotheses to address our research question:

Hypotheses: H08: There is no statistically significant predictive relationship of employee productivity from levels of Teamwork, Technical Knowledge, Adequate Authority to do a job well, Fair Treatment, and Sick Days.

Ha8: There is a statistically significant predictive relationship of employee productivity from levels of Teamwork, Technical Knowledge, Adequate Authority to do a job well, Fair Treatment, and Sick Days.

Data was collected using a 'Productivity' survey, encompassing 12 questions related to human resource policies and productivity. We focused on six questions: 'productivity', 'levels of teamwork', 'technical knowledge', 'adequate authority to do a job well', 'fair treatment', and 'sick days'. 'Productivity' served as the dependent variable, while the remaining factors represented independent variables. To test the hypotheses, we employed multiple linear regression.


Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson
1 0.517 0.267 0.255 0.86298406 1.056
• Table 1 - Model Summary
Model Sum of Squares df Mean Square F Sig.
1 Regression 85.406 5 17.081 22.936
Residual 234.594 315 0.745
Total 320.000 320
• Table 2 - ANOVA
Model Unstandardized Coefficients Standardized Coefficients t Sig. 95.0% Confidence Interval for B Collinearity Statistics
B Std. Error Beta Lower Bound Upper Bound Tolerance
1 (Constant) -3.052 0.354 -8.617 0.000
teamwork 0.199 0.047 0.207 4.249 0.000 0.107
jobknowl 0.317 0.058 0.267 5.448 0.000 0.203
jobauthr 0.265 0.041 0.326 6.491 0.000 0.185
wkrtrtmt -0.054 0.038 -0.070 -1.413 0.159 -0.129
wrkdyssk -0.018 0.023 -0.037 -0.775 0.439 -0.063

• Table 3 - Coefficients

Discussion: Our analysis revealed that while 'productivity' did not follow a normal distribution, its relationship with the studied factors was significant. The findings demonstrated that 'levels of teamwork,' 'technical knowledge,' and 'adequate authority to do a job well' significantly predicted employees' productivity. However, 'fair treatment' and 'sick days' did not exhibit a significant relationship with productivity. This aligns with previous research findings and highlights the importance of positive work attributes in enhancing employee performance.

Conclusion: In today's competitive landscape, organizations should prioritize factors like teamwork, technical knowledge, and empowering employees to improve overall productivity. This study underscores the need to focus on these positive aspects of job performance to drive employee and organizational success.