ObjectiveObjective: Variables important to nursing systems research often are measured at the individual level, with inferences to the work group or organization. The purpose was to determine the reliability and validity of aggregated data using the National Database of Nursing Quality Indicators; (NDNQI) Adapted Index of Work Satisfactio (AIWS). Design: A psychometric analysis of the AIWS using aggregated data. Subjects and Setting: RNs (n=2,135)employed in a variety of units (n=192)at NDNQI member hospitals (n=14). Conceptual Framework: The AIWS reflects theoretical perspectives of Maslow (1954) and Herzberg, et al. (1959) regarding the concepts of job satisfaction therefore, includes the subscales of Pay, Physician-Nurse Interactions, Decision-making, Nurse-Nurse Interactions, Task, Autonomy, Professional Status, and Job Satisfaction. Methods: Participants responded by pencil-paper or WWW to the AIWS. Reliability criteria for aggregation weere: Crohnbach's alpha >.60/; intraclass correlations (ICC), ICC1,k)>.60, and significant F ratios. Effect sizes, related to validity were determined by intraclass correlations ICC (1,1)>.60; eta2 and omega2 preset at 0-1. Findings: Cronbach's at the hospital level ranged from 90-99 for the subscales. Unit level alphas were 78-.95. The percent of inter-item correlations >60/>40 at the hospital level were 100/100, except for Autonomy (46/92 and Nurse-Nurse Interactions (60/73). At the unit level, only Pay and Job Satisfaction met the percent inter-item correlation criteria. The ICC (1,k) for the hospital level ranged from .85-.97; the ICC (1,1) varied from .04-20 with etas .04-.18, and omegas .0-.12. Findings at the unit level for the ICC (1,k) ranged from 47-.81; ICC (1,1); .08-.23, etas .16-.23,and omegas .15-.38. Discussion and Implications: Findings support the AIWS as reliable and valid in measuring variables critical to nurses' job satisfaction at the unit and hospital level, making it an invaluable tool for nursing systems researchers.
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