The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Evidence-Based Practice and the Use of Information in State Agency Decision Making
Abstract
The contemporary policy environment makes persistent demands on agency officials to use the best information available when making decisions about policies, programs, and practices. State and federal legislation calls on agencies to incorporate evidence-based practices (EBP) in their programs. Using data from a 2008 survey of state agency directors, we examine the extent to which state government agencies draw upon various sources of information to guide their decisions about programmatic operations. Our findings reveal the extent to which agencies rely on, or weight, sources of scientific studies and formal evaluations compared to other sources. Factor analysis identifies patterns of agency information use, providing a basis for further exploring agency differences in information consultation that underlie development of new policies and programs in the vein of EBP.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cook, T. D., Shadish, W. R., & Wong, V. C. (2008) · Journal of Policy Analysis and Management · doi:10.1002/pam.20375 · Cited by 604
Maynard, R. A. (2006) · Journal of Policy Analysis and Management · doi:10.1002/pam.20169 · Cited by 47
Cited by
Anticipatory innovation governance: Shaping the future through proactive policy making
(2020) · OECD Working Papers on Public Governance · doi:10.1787/cce14d80-en · Cited by 303
Al‐Hashimi, K., Weerakkody, V., Elbanna, S., & Schwarz, G. (2022) · Public Administration Review · doi:10.1111/puar.13447 · Cited by 32
Hermans, L. M., Slinger, J. H., & Cunningham, S. W. (2013) · Environmental Science & Policy · doi:10.1016/j.envsci.2013.02.001 · Cited by 22
Metadata
- Authors
- Jennings, E. T., & Hall, J. L.
- Venue
- Journal of Public Administration Research and Theory
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-07-21
- Volume
- 22
- Issue
- 2
- Pages
- 245-266
- ISSN
- 1053-1858 (ISSN-L)
- 1477-9803
- OpenAlex
- W2108245607
- Cited by
- 192
- References
- 2
- FWCI
- 9.97
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Evidence-Based Practice and the Use of Information in State Agency Decision Making. https://app.cochat.ai/papers/10.1093/jopart/mur040
- The paper
- Jennings, E. T., & Hall, J. L. (2012). Evidence-Based Practice and the Use of Information in State Agency Decision Making. Journal of Public Administration Research and Theory. https://doi.org/10.1093/jopart/mur040
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.