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Have We Learned Anything New About the Use of Evaluation?

Weiss, Carol H.·1998·American Journal of Evaluation

DOI 10.1177/109821409801900103

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Abstract

“Use of evaluation” used to mean the use of results for making program decisions. Now we are aware of its larger dimensions. Many aspects of evaluation can be used-ideas and insights, signals that are sent by the very fact of evaluating, the processes of learning through cooperation with evaluation, the choice of outcome indicators that herald success, even the study design. “Use” encompasses a broad array of effects by multiple classes of users. The paper highlights the importance of considering further potential collective users-the program organization, client groups, and civil society.

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Authors: Weiss, C. H.
Affiliations: Harvard University (US)
Corresponding author: Weiss, Carol H.
Venue: American Journal of Evaluation
Publisher: SAGE Publications
Published: 1998-03
Volume: 19
Issue: 1
Pages: 21-33
ISSN: 1098-2140 (ISSN-L)
1557-0878
DOI: 10.1177/109821409801900103
OpenAlex: W4245760083
Cited by: 384
References: 20
Citations by year: 2026: 8 · 2025: 12 · 2024: 14 · 2023: 18 · 2022: 20 · 2021: 18 · 2020: 31 · 2019: 17 · 2018: 17 · 2017: 25 · 2016: 21 · 2015: 17 · 2014: 18 · 2013: 12 · 2012: 20
FWCI: 7.98
Type: journal article
Language: en
Open access: closed
Licence: journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
Locations: American Journal of Evaluation (publishedVersion)
Topics: Social Sciences › Public Administration › Evaluation and Performance Assessment
Social Sciences › Public Administration › Public Policy and Administration Research
Social Sciences › Economics, Econometrics and Finance › Finance › Community Development and Social Impact
Keywords: program evaluation, program decision-making, outcome indicators, research design, learning from evaluation, civil society, program organization, client groups

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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Have We Learned Anything New About the Use of Evaluation?

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