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Factors Predicting Organizational Commitment among Nurses in State Hospitals, Malaysia. Corresponding author: Siew Pien Lee. Kulliyyah (Faculty) of Nursing,.
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NURSING RESEARCH
Organizational Commitment and Nurses’ Characteristics as Predictors of Job Involvement Kamila Alammar, RN, BSN Clinical Instructor King Fahad Medical City, Saudi Arabia Mashael Alamrani, RN, BSN Demonstrator Tabuk University, Saudi Arabia Sara Alqahtani, RN, BSN Clinical Instructor Al Amal Complex for Mental Health, Saudi Arabia Muayyad Ahmad, PhD, RN Professor, Clinical Nursing Department, School of Nursing, The University of Jordan, Amman, Jordan
Abstract Objective: To predict nurses’ job involvement on the basis of their organizational commitment and personal characteristics at a large tertiary hospital in Saudi Arabia. Data Sources: Data were collected in 2015 from a convenience sample of 558 nurses working at a large tertiary hospital in Riyadh, Saudi Arabia. Study Design: A cross-sectional correlational design was used in this study. Data were collected using a structured questionnaire. Principal Findings: All commitment scales had significant relationships. Multiple linear regression analysis revealed that the model predicted a sizeable proportion of variance in nurses’ job involvement (p 16 Education
Postgraduate Marital status Married
397
71.1
Unmarried
161
28.9
Ward setting
328
58.8
Critical care area
230
41.2
Work setting
Table 2. Scales
Study scales description and reliability Maximum range Actual range
Mean (SD)
Cronbach’s alpha
Affective commitment
6–42
6–42
28.15 (5.7)
0.71
Continuance commitment
6–42
7–35
22.32 (5.3)
0.77
Normative commitment Commitment total Job involvement SD = standard deviation.
6–42
7–42
27.99 (5.9)
0.73
18–126
33–107
78.46 (12.7)
0.81
10–50
17–50
35.07 (4.9)
0.74
Organizational Commitment and Nurses’ Characteristics as Predictors of Job Involvement
Table 3.
Relationships between job involvement and commitment scales and participants’ characteristics