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Evaluation for community-based programs: the integration of logic models and factor analysis.

Deborah Helitzer¹, Christine Hollis, Brisa Urquieta de Hernandez

¹Department of Family and Community Medicine, School of Medicine, 1 University of New Mexico, Albuquerque, NM 87131, USA. helitzer@salud.unm.edu

Evaluation and Program Planning

|October 27, 2009

Summary

This summary is machine-generated.

Logic models and factor analysis enhance community program evaluations by aligning surveys with objectives. This integration helps stakeholders assess program effectiveness and achieve consensus on measurable outcomes.

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Area of Science:

Program Evaluation
Community-Based Research
Educational Psychology

Background:

Community-based programs require robust evaluation plans.
Stakeholder consensus is crucial for effective program assessment.
Developing and refining evaluation tools, such as surveys, is a key challenge.

Purpose of the Study:

To explore the utility of logic models in community program evaluation.
To demonstrate the integration of logic models and factor analysis for survey development and revision.
To enhance the effectiveness of evaluation plans for community-based initiatives.

Main Methods:

Utilized a logic model as a framework for developing a state-wide evaluation plan.
Linked logic model components to specific survey questions for a sixth-grade student survey.
Employed exploratory and confirmatory factor analysis to validate survey constructs against the logic model.

Main Results:

A logic model facilitated agreement among diverse stakeholders on the evaluation plan.
Factor analysis confirmed the alignment between survey questions and the program's theoretical constructs.
The integrated approach provided a structured method for survey refinement.

Conclusions:

Logic models effectively engage stakeholders and link evaluation instruments to program objectives.
Factor analysis helps determine if evaluation tools adequately measure program effectiveness.
The logic model process fosters consensus among stakeholders by focusing on concrete, measurable objectives.