Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Using macro variables in program evaluation.

J Feather

    Evaluation and Program Planning
    |December 12, 1981
    PubMed
    Summary
    This summary is machine-generated.

    Macro-level variables, including cultural, economic, and demographic factors, are crucial for program analysis. Utilizing these variables provides context and alternative explanations for program outcomes, aiding in meta-evaluation and synthesizing research findings.

    Related Concept Videos

    You might also read

    Related Articles

    Articles linked to this work by shared authors, journal, and citation graph.

    Sort by
    Same author

    Risk of progression and survival in multiple myeloma relapsing after therapy with IMiDs and bortezomib: a multicenter international myeloma working group study.

    Leukemia·2011
    Same author

    Referrals to the Marie Curie nursing service in North Yorkshire.

    International journal of palliative nursing·2003
    Same author

    The Saskatchewan dissemination story.

    Promotion & education·2001
    Same author

    A story/dialogue method for health promotion knowledge development and evaluation.

    Health education research·1999
    Same author

    Preserving the patient referral process in the managed care environment.

    The American journal of medicine·1996
    Same author

    Policy issues in pressure ulcer healing.

    Advances in wound care : the journal for prevention and healing·1995

    Area of Science:

    • Social Sciences
    • Program Evaluation
    • Policy Analysis

    Background:

    • Program analysis often overlooks broader contextual factors.
    • Understanding program success requires considering external influences.

    Purpose of the Study:

    • To highlight the significance of macro-level variables in program evaluation.
    • To demonstrate how cultural, economic, and demographic factors inform program analysis.

    Main Methods:

    • Conceptual analysis of macro-level variables.
    • Discussion of causality and data availability challenges.
    • Application in meta-evaluation frameworks.

    Main Results:

    • Macro variables offer essential context for evaluating programs.

    Related Experiment Videos

  • They provide alternative explanations for program success or failure.
  • Data challenges and causality issues are inherent but manageable.
  • Conclusions:

    • Macro-level variables are vital for robust program analysis.
    • Their use enhances the integration of evaluation results.
    • Essential for drawing generalizable conclusions from specific evaluations.