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Omolola A Adedokun

Biographic Data

ID6420337
NAMEOmolola A Adedokun
GIVEN NAMESOmolola A
FAMILY NAMEAdedokun
SIGNATUREADEDOKUN O A
AFFILIATIONSDiscovery Learning Research Center, Purdue University, West Lafayette, IN, USA
ORCID0000-0002-0705-2976
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2011
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Granular Insights From Local Data

    Open Access•Odunayo Omotilewa, Odunayo O Omotilewa et al.•ARTICLE•Health Education & Behavior•2026

    The Appalachian region faces persistent health disparities compared to other regions of Kentucky and the broader United States, making it essential to identify its local needs. Using survey data from the Extension statewide needs assessment collected in the fall of 2023 from 29,068 respondents, this study aimed to identify and compare the perceived health education needs of residents in the Appalachian and non-Appalachian regions of Kentucky with…

  • Testing Conceptual Frameworks of Nonexperimental Program Evaluation Designs Using Structural Equation Modeling

    Open Access•Omolola A Adedokun, Amy Childress et al.•ARTICLE•American Journal of Evaluation•2011•References: 10

    A theory-driven approach to evaluation (TDE) emphasizes the development and empirical testing of conceptual models to understand the processes and mechanisms through which programs achieve their intended goals. However, most reported applications of TDE are limited to large-scale experimental/quasi-experimental program evaluation designs. Very few (limited) examples of the relevance of TDE to nonexperimental program evaluation designs exist in li…

No prominent works on this page.

  • Testing Conceptual Frameworks of Nonexperimental Program Evaluation Designs Using Structural Equation Modeling

    Open Access•Omolola A Adedokun, Amy Childress et al.•ARTICLE•American Journal of Evaluation•2011•References: 10

    A theory-driven approach to evaluation (TDE) emphasizes the development and empirical testing of conceptual models to understand the processes and mechanisms through which programs achieve their intended goals. However, most reported applications of TDE are limited to large-scale experimental/quasi-experimental program evaluation designs. Very few (limited) examples of the relevance of TDE to nonexperimental program evaluation designs exist in li…

  • Granular Insights From Local Data

    Open Access•Odunayo Omotilewa, Odunayo O Omotilewa et al.•ARTICLE•Health Education & Behavior•2026

    The Appalachian region faces persistent health disparities compared to other regions of Kentucky and the broader United States, making it essential to identify its local needs. Using survey data from the Extension statewide needs assessment collected in the fall of 2023 from 29,068 respondents, this study aimed to identify and compare the perceived health education needs of residents in the Appalachian and non-Appalachian regions of Kentucky with…

Appalachia (1 work) · Appalachian Region (1 work) · Computer Science (1 work) · Conceptual framework (1 work) · Data science (1 work) · Empirical research (1 work) · Engineering (1 work) · Environmental Justice and Health Disparities (1 work) · Evaluation and Performance Assessment (1 work) · Food security (1 work)

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