Cited by 266Evaluation and Performance AssessmentAdvanced Causal Inference TechniquesPublic Policy and Administration Research

Avoiding type III error in program evaluation

Dobson, Douglas, Cook, Thomas J.·1980·Evaluation and Program Planning

Integrity signals

Registry

Crossref · 10.1016/0149-7189(80)90042-7

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Unless an evaluation of implementation fidelity is made, it cannot be determined whether a lack of impact is due to poor implementation or inadequacies inherent in the programme itself (Type III error).

    “Unless such an evaluation is made, it cannot be determined whether a lack of impact is due to poor implementation or inadequacies inherent in the programme itself, a so-called Type III error [11]”

    From A conceptual framework for implementation fidelity (2007) · cites this paper as [11]

Cited by

Sorted by citations

Authors
Dobson, D., & Cook, T. J.
Affiliations
  • Northern Illinois University (US)
  • RTI International (US)
Corresponding author
Cook, Thomas J.
Venue
Evaluation and Program Planning
Publisher
Elsevier BV
Published
1980-01
Volume
3
Issue
4
Pages
269-276
ISSN
0149-7189 (ISSN-L)
OpenAlex
W1494384881
Cited by
266
References
0
Citations by year
2026: 8 · 2025: 6 · 2024: 10 · 2023: 14 · 2022: 16 · 2021: 19 · 2020: 11 · 2019: 15 · 2018: 9 · 2017: 8 · 2016: 14 · 2015: 12 · 2014: 13 · 2013: 21 · 2012: 12
FWCI
3.09
Type
journal article
Language
en
Open access
closed
Locations
Evaluation and Program Planning (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Evaluation and Performance Assessment
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
  • Social Sciences › Public Administration › Public Policy and Administration Research
Keywords
Type III error, program evaluation, service utilization, service receipt, program outcomes, randomized field experiment, client heterogeneity

About these checks

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 ›

Are you an author, or do you see a problem with this page? Request a review