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Logic Modeling for the Development of Performance Indicators in the NIAID Division of Clinical Research

Friday, November 08, 2013 — Poster Session III

10:00 a.m. – 12:00 p.m.

FAES Academic Center (Upper-Level Terrace)




  • S. Weiss
  • Y. Li
  • L. McNay


This logic model describes how the Division of Clinical Research in the National Institute of Allergy and Infectious Diseases is developing performance indicators to provide data-driven progress reports for programs and employees engaged in the facilitation and administration of clinical research in domestic and global settings. This road map describes the rationale and multi-factorial, incremental research forming the development, validation and implementation of Key Performance Indicators that reflect the work-product of the division’s branches and special projects. Fundamental components are: (1) contextual information about factors and intervening variables that may impact performance; (2) identification of comparison measures, e.g., baseline performance data and leading industry/government benchmarks against which performance can be compared; (3) proposed data collection sources, methods, instruments and analysis, and (4) tools for assembling and tracking performance metrics. The model also emphasizes the importance of participatory methods of building performance metrics and goal-setting benchmarks to ensure that they adequately and fairly reflect each worker’s productivity.

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