Unlocking Inclusive Leadership in Healthcare

Purpose To test whether inclusive leadership (IL) directly influences 2 key workforce and service outcomes—job satisfaction (JS) and perceived care quality (PQC)—and to determine how these relationships change when the surrounding climate for inclusion (C4I) and employees’ cultural competence (CC) vary. Study Design & Method • Cross‑sectional, self‑administered online survey. • Conducted June – Nov 2024 among licensed U.S. health‑care managers recruited via a commercial opt‑in e‑mail panel (Dynata). • Institutional Review Board approval obtained; electronic informed consent recorded. Sample & Coverage N = 209 respondents spanning hospitals, ambulatory centers, and long-term care settings in all major U.S. census regions. The dataset is nationally scoped, though not probability‑weighted. Core Data Components 1. Inclusive Leadership (8 items, α = 0.88) 2. Climate for Inclusion (13 items, α = 0.93) 3. Cultural Competence (7 items after reverse‑coding, α = 0.74) 4. Job Satisfaction (2‑item short index, r = 0.77) 5. Perceived Care Quality (10‑item staff‑rated scale, α = 0.91) 6. Controls & Demographics: age, gender, race, role, work setting, tenure, and social desirability short scale. File Suite • RawData_2024Q3.csv: untouched Qualtrics export; de‑identified. • CleanData_v1.0.csv: analysis‑ready, with recoded items and computed scale means. • Codebook.xlsx: variable definitions, coding schemes, and descriptive statistics. • AnalysisScripts.R: reproduces CFA, moderated regressions, plots. • Figures/Tables bundle and a web‑rendered replication report. Analytic Scope Enables replication of the published results (confirmatory factor analysis, hierarchical moderated regression, interaction ) and supports secondary analyses on leadership, inclusion, and workforce outcomes in health contexts (e.g., alternative moderators, subgroup comparisons, measurement invariance). Reuse Conditions Released under CC‑BY 4.0—users may copy, distribute, and build upon the data, provided proper attribution to the original investigators. No direct identifiers are present; free‑text fields were scrubbed to protect confidentiality. Potential Applications • Validation of inclusive leadership instruments in U.S. healthcare settings. • Meta‑analyses on diversity climates and staff outcomes. • Training or teaching datasets for courses on organizational research methods. • Benchmarking for hospitals investigating links between leadership practices and patient‑centred metrics. In short, the dataset offers a rigorously documented, ethics‑cleared resource for examining how leadership behaviours interact with organizational climate factors to shape both staff experience and perceived quality of care in U.S. health‑care organisations.