Conceptual and Empirical Item Hierarchies of a Managerial Complexity Tool (TOH-SOC)

Magnus Lindberg, Maria Lindberg, Karin Lundin Department of Caring Sciences, Faculty of Health and Occupational Studies, University of Gävle, Gävle, SwedenCorrespondence: Karin Lundin, Department of Caring Sciences, Faculty of Health and Occupational Studies, University of Gävle, Kungsbäcksvägen 47, Gävle, SE-801 76, Sweden, Email [email protected]: Healthcare management entails navigating considerable complexity, requiring managers to balance diverse and often competing responsibilities such as staff supervision, patient care, and resource allocation within evolving organizational contexts. Traditional measures rarely capture this multifaceted reality of managerial complexity. The Ottawa Hospital Model of Nursing Clinical Practice and Clinical Management Span of Control Decision-Making Indicators tool (TOH-SOC) provides a broad understanding of managerial span of control.Objective: To evaluate the extent to which the TOH-SOC items provide valid measurement of the latent construct of managerial complexity, and to examine the degree to which the empirical response patterns fit with the a priori specified hierarchical conceptual framework.Methods: This methodological study uses previously collected data from a convenience sample of 71 first-line healthcare managers, applying items from the TOH-SOC tool. An unrestricted polytomous Rasch model was used to evaluate response category functioning, model fit, targeting, reliability, and empirical item ordering. Polyserial correlation was applied to analyze the concordance between empirical estimates and conceptually expected item hierarchies.Results: Three items were found to have response categories that did not function as intended. In one case, this could justifiably be addressed by collapsing the response options. Two of the items with problematic response categories, as well as one additional item, were found to show misfit with the assumptions of the Rasch measurement model.Conclusion: Among first-line healthcare managers, 13 of the 16 items function well in reliably capturing lower levels of managerial complexity. However, further development of the TOH-SOC tool is required to ensure valid and reliable measurement across the full continuum of managerial complexity, and to strengthen its capacity for detecting changes over time.Keywords: construct validity, healthcare management, measure, Rasch analysis, span of control

Authors

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2026-02-01
Primary Topic
Chaos, Complexity, and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conceptual and Empirical Item Hierarchies of a Managerial Complexity Tool (TOH-SOC)

Lundin K, Lindberg M
SHILAP Revista de lepidopterología
Chaos, Complexity, and Education
article

Conceptual and Empirical Item Hierarchies of a Managerial Complexity Tool (TOH-SOC)

Lundin K, Lindberg M
article en

Abstract

Magnus Lindberg, Maria Lindberg, Karin Lundin Department of Caring Sciences, Faculty of Health and Occupational Studies, University of Gävle, Gävle, SwedenCorrespondence: Karin Lundin, Department of Caring Sciences, Faculty of Health and Occupational Studies, University of Gävle, Kungsbäcksvägen 47, Gävle, SE-801 76, Sweden, Email [email protected]: Healthcare management entails navigating considerable complexity, requiring managers to balance diverse and often competing responsibilities such as staff supervision, patient care, and resource allocation within evolving organizational contexts. Traditional measures rarely capture this multifaceted reality of managerial complexity. The Ottawa Hospital Model of Nursing Clinical Practice and Clinical Management Span of Control Decision-Making Indicators tool (TOH-SOC) provides a broad understanding of managerial span of control.Objective: To evaluate the extent to which the TOH-SOC items provide valid measurement of the latent construct of managerial complexity, and to examine the degree to which the empirical response patterns fit with the a priori specified hierarchical conceptual framework.Methods: This methodological study uses previously collected data from a convenience sample of 71 first-line healthcare managers, applying items from the TOH-SOC tool. An unrestricted polytomous Rasch model was used to evaluate response category functioning, model fit, targeting, reliability, and empirical item ordering. Polyserial correlation was applied to analyze the concordance between empirical estimates and conceptually expected item hierarchies.Results: Three items were found to have response categories that did not function as intended. In one case, this could justifiably be addressed by collapsing the response options. Two of the items with problematic response categories, as well as one additional item, were found to show misfit with the assumptions of the Rasch measurement model.Conclusion: Among first-line healthcare managers, 13 of the 16 items function well in reliably capturing lower levels of managerial complexity. However, further development of the TOH-SOC tool is required to ensure valid and reliable measurement across the full continuum of managerial complexity, and to strengthen its capacity for detecting changes over time.Keywords: construct validity, healthcare management, measure, Rasch analysis, span of control

SHILAP Revista de lepidopterología
Openalex Percentile: Top 51%
Chaos, Complexity, and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.