Understanding the factors that influence health promotion evaluation: The development and validation of the evaluation practice analysis survey

Joanna Schwarzman, Adrian Bauman, Belinda J. Gabbe, Chris Rissel, Trevor Shilton, Ben J. Smith

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)


The demand for improved quality of health promotion evaluation and greater capacity to undertake evaluation is growing, yet evidence of the challenges and facilitators to evaluation practice within the health promotion field is lacking. A limited number of evaluation capacity measurement instruments have been validated in government or non-government organisations (NGO), however there is no instrument designed for health promotion organisations. This study aimed to develop and validate an Evaluation Practice Analysis Survey (EPAS) to examine evaluation practices in health promotion organisations. Qualitative interviews, existing frameworks and instruments informed the survey development. Health promotion practitioners from government agencies and NGOs completed the survey (n = 169). Principal components analysis was used to determine scale structure and Cronbach's α used to estimate internal reliability. Logistic regression was conducted to assess predictive validity of selected EPAS scale. The final survey instrument included 25 scales (125 items). The EPAS demonstrated good internal reliability (α > 0.7) for 23 scales. Dedicated resources and time for evaluation, leadership, organisational culture and internal support for evaluation showed promising predictive validity. The EPAS can be used to describe elements of evaluation capacity at the individual, organisational and system levels and to guide initiatives to improve evaluation practice in health promotion organisations.

Original languageEnglish
Pages (from-to)76-83
Number of pages8
JournalEvaluation and Program Planning
Publication statusPublished - Jun 2019


  • Evaluation capacity building
  • Evaluation practice
  • Health promotion
  • Measurement
  • Reliability
  • Validity

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