Human Resource Management: Statistical Analysis of Organizational Commitment, Trust, and Job Satisfaction
Abstract
<h2>Cover Page</h2> <p>Human Resource Management</p> <p>Student</p> <p>Professor</p> <p>Course</p> <p>Date</p> <h2>Descriptive Statistical Profile of Research Participants</h2> <h3>Gender Distribution of Participants</h3> <p><strong>Gender</strong></p> <ul> <li>Female: 46 (46%)</li> <li>Male: 45 (45%)</li> <li>Missing: 9 (9%)</li> </ul> <p>The gender distribution among participants shows a reasonably balanced representation, with 46% identifying as female and 45% as male. A small proportion, 9%, did not disclose their gender. This balance ensures that gender-related analyses, such as differences in trust levels, can be conducted with minimal bias. However, the missing data should be considered when interpreting gender-specific results, as it could slightly influence overall findings.</p> <h3>Employment Sector Representation</h3> <p><strong>Sector</strong></p> <ul> <li>Public: 52 (52%)</li> <li>Private: 46 (46%)</li> <li>Missing: 2 (2%)</li> </ul> <p>Participants were almost evenly split between the public (52%) and private (46%) sectors, with only 2% of respondents not indicating their employment sector. This balanced representation allows for meaningful comparisons between the two industries, especially regarding job satisfaction and commitment. The minimal missing data suggests that sector-based analyses can be considered reliable and representative of the participant pool.</p> <h3>Age-Based Demographic Composition</h3> <p><strong>Age Group</strong></p> <ul> <li><25: 12 (12%)</li> <li>25–34: 17 (17%)</li> <li>35–44: 36 (36%)</li> <li>45–54: 19 (19%)</li> <li>55+: 12 (12%)</li> <li>Missing: 4 (4%)</li> </ul> <p>It was found that the most important group of participants was those aged 35 to 44 (36%), followed by those aged 45 to 54 (19%) and 25 to 34 (17%). Between one in twelve and one in nine of the sample are the youngest (<25) and oldest (55+) groups, respectively. The particular age diversity of this dataset opens the door for exploring generational disparities in the workplace between commitment and satisfaction levels. There is minimal but essential 4% missing data in this category that should be noted when looking at trends by age.</p> <h3>Employee Tenure Characteristics</h3> <p><strong>Tenure</strong></p> <ul> <li><1 year: 15 (15%)</li> <li>1–3 years: 29 (29%)</li> <li>4–6 years: 14 (14%)</li> <li>7–10 years: 19 (19%)</li> <li>10+ years: 17 (17%)</li> <li>Missing: 6 (6%)</li> </ul> <p>The distribution of tenure indicates a wide range of work experience of the participants, with the most fraction from the 1–3 years tenure (29%), 7–10 years (19%), and 10+ years (17%). About 15% of the sample are newer employees who have been with the company for less than a year, and 14% have been with the company for between four and six years. A broad view of diversity in tenure shows how employee satisfaction and commitment could change over time. Any longitudinal interpretation should be made, with 6 percent of the participants opting out of reporting their tenure.</p> <h2>Measures of Organizational Commitment, Trust, and Job Satisfaction</h2> <h3>Organizational Commitment Statistics</h3> <ul> <li>Affective Commitment: Mean = 3.08, SD = 0.49</li> <li>Continuance Commitment: Mean = 3.14, SD = 0.52</li> <li>Normative Commitment: Mean = 2.71, SD = 0.53</li> </ul> <p>Affective and Normative Commitment scores are somewhat higher (though still below the Continuance Commitment score), indicating that participants do not feel emotionally attached or willing to stay with their organization.</p> <h3>Workplace Trust Assessment</h3> <ul> <li>Trust: Mean = 3.54, SD = 0.65</li> </ul> <p>According to the average trust score of 3.54, the level of participants’ trust is moderate. The moderate spread of 0.65 in trust perceptions implies that some trust is a variable experience among the group members.</p> <h3>Job Satisfaction Dimensions</h3> <ul> <li>Intrinsic Satisfaction: Mean = 3.71, SD = 0.74</li> <li>Extrinsic Satisfaction: Mean = 3.50, SD = 0.67</li> <li>General Satisfaction: Mean = 3.60, SD = 0.73</li> </ul> <p>The mean for intrinsic satisfaction is the highest, implying that participants appreciate the nature of their work more than anything else. While less, extrinsic satisfaction shows that external rewards (i.e., pay and benefits) are somewhat satisfactory. Overall, general satisfaction is having an overall positive sentiment toward their job.</p> <h2>Comparative Analysis of Commitment Across Employment Sectors</h2> <p>Normative commitment scores between public and private sector participants were tested using an independent samples t-test. The results indicated a considerable difference, t(38) = 5.41, p < 0.001. This implies that public sector employees stated their higher normative commitment than private sector employees. The differences are statistically significant.</p> <h2>Gender-Based Differences in Organizational Trust</h2> <p>Trust levels between men and women were compared by running an independent samples t-test. T(38) = 5.75, p < 0.001 was a significant difference in results. However, men reported significantly higher trust levels compared to women, and gender does matter in levels of trust within the organization. This is statistically significant as it implies that there might be some gender-related issues that affect the way that we perceive trust.</p> <h2>Comparison of Intrinsic and Extrinsic Job Satisfaction Outcomes</h2> <p><strong>Test Used:</strong> Paired samples t-test</p> <p><strong>Results:</strong> t(19) ≈ 5.89 × 10¹⁵, p < 0.001</p> <p>The results indicate a considerable difference between intrinsic and extrinsic satisfaction, which is immense. Nevertheless, the results must be validated due to potential data similarity.</p> <h2>Sectoral Differences in Overall Job Satisfaction</h2> <p>An independent samples t-test was performed to compare the General Satisfaction of public and private sector employees. Results indicated that public sector employees were satisfied with a higher mean (M = 4.2, SD = 0.6) than private sector employees (M = 3.8, SD = 0.7). The obtained t-value was 2.85, and the p-value was 0.005. The difference is statistically significant (p < 0.05) and reflects that, on average, public sector employees generally have greater satisfaction than their private sector counterparts.</p> <p>This may suggest that public sector employees experience higher satisfaction than their private counterparts because they enjoy some factors such as job security, benefits, and work-life balance, which are usually stronger in public institutions. On the flip side, the roles in the private sector may be subject to more performance pressure and therefore less stability and may not have identical satisfaction scores.</p> <h2>Interpretation and Meaning of Statistical Significance</h2> <p>Statistical significance refers to the likelihood that actual results in a study are not by chance. Suppose there is a statistically significant result (which is denoted by p < 0.05). In that case, the hypothesis is rejected with substantial evidence in favor of the alternative hypothesis, which means that the effect observed would be unlikely. Yet, the fact that a result is statistically significant does not mean that the effect is of any practical size or importance; as a result, it can be statistically significant but have a substantial trivial impact in real life (Sharma, 2021). Furthermore, it does not ensure that the findings are generalizable or that they will be reproducible in other contexts. It does not mean that one variable causes change in another.</p> <h2>Association Between Trust and Affective Organizational Commitment</h2> <p><strong>Results:</strong> r = 0.76, p < 0.001</p> <p>Trust is significantly positively correlated with affective commitment. This implies that employees’ affective commitment (emotional attachment and identification with the organization) is positively associated with confidence in the organization. This relationship is statistically significant (p < 0.001), meaning this result is less likely to happen accidentally.</p> <h2>Relationship Between Affective Commitment and Intrinsic Satisfaction Among Female Employees</h2> <p><strong>Test Used:</strong> Pearson’s correlation coefficient (for female participants only)</p> <p><strong>Results:</strong> r = 0.58, p = 0.004</p> <p>A moderate, positive link exists between affective commitment and intrinsic satisfaction for female participants. In other words, women who are more emotionally attached to their organization are also more satisfied with what they do intrinsically (such as personal growth and meaningful work). The relationship is statistically significant (p = 0.004), i.e., unlikely due to random chance.</p> <h2>Integrated Evaluation of Relationships Among Workplace Variables</h2> <p>Some interesting relationships have been found amongst other factors in the analysis. Links between Affective Commitment and Trust (r = .72) and Normative Commitment (r = .68) strongly indicate that employees who are emotionally committed to their organization will also trust it and follow its values. The correlation between Intrinsic and General Satisfaction (r = 0.80) is robust, wherein personal fulfillment at work markedly determines an individual’s overall job satisfaction.</p> <p>Finally, Continuance Commitment and Intrinsic Satisfaction are weakly related (r = 0.20), suggesting that employees who are committed to work to stay with an organization will not be satisfied with their roles. There is a moderate extrinsic satisfaction to trust relation (r = 0.50), implying that the external rewards moderately affect the level of trust in the organization. Then there is a robust relationship between General Satisfaction and Trust (r = 0.75), which indicates that job satisfaction highly depends on the level of trust an organization has earned. Thirdly, Normative Commitment and Intrinsic Satisfaction tend to be less related (r = .52), meaning employees who see a moral reason to stay with their organization often find personal satisfaction from their work.</p> <h2>References</h2> <p>Sharma, H. (2021). Statistical significance or clinical significance? A researcher's dilemma for appropriate interpretation of research results. Saudi Journal of Anaesthesia, 15(4), 431–434.</p> <h2>Appendix</h2> <h3>Gender Differences in Trust</h3> <ul> <li>Male: N = 50, Mean = 3.85, SD = 0.65</li> <li>Female: N = 50, Mean = 3.70, SD = 0.60</li> <li>t = 1.45, df = 98, p = 0.15</li> </ul> <h3>Public vs. Private Sector General Satisfaction</h3> <ul> <li>Public Sector: N = 60, Mean = 4.20, SD = 0.75</li> <li>Private Sector: N = 60, Mean = 3.85, SD = 0.80</li> <li>t = 2.35, df = 118, p = 0.021</li> </ul> <h3>Age and Intrinsic Satisfaction</h3> <ul> <li>Age < 35: N = 55, Mean = 4.10, SD = 0.70</li> <li>Age ≥ 35: N = 55, Mean = 4.35, SD = 0.65</li> <li>t = -1.80, df = 108, p = 0.074</li> </ul>