The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Reliability, Validity, and Classification Accuracy of a Measure of DSM-IV Diagnostic Criteria for Pathological Gambling
Abstract
OBJECTIVE: The purpose of this study was to measure the reliability, validity, and classification accuracy of the DSM-IV diagnostic criteria for pathological gambling. METHOD: Participants in this study were drawn from two sources: 803 men and women from the general adult population of Minnesota and 259 men and women who were admitted to a gambling treatment program. A 19-item measure of the DSM-IV diagnostic criteria for pathological gambling was administered, along with other validity measures. RESULTS: The DSM-IV diagnostic criteria were found to be reliable and valid. With a standard cutoff score of 5, DSM-IV criteria yielded satisfactory classification accuracy results; however, a cutoff score of 4 made modest improvements in classification accuracy and, most important, reduced the rate of false negatives. CONCLUSIONS: The DSM-IV diagnostic criteria for pathological gambling, when operationalized into questions, demonstrated satisfactory reliability, validity, and classification accuracy, and a cutoff score of 4 improved diagnostic precision.
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
Construct validity in psychological tests.
Cronbach, L. J., & Meehl, P. E. (1955) · Psychological Bulletin · doi:10.1037/h0040957 · Cited by 11,195
Reliability, validity, and classification accuracy of the South Oaks Gambling Screen (SOGS)
Stinchfield, R. (2002) · Addictive Behaviors · doi:10.1016/s0306-4603(00)00158-1 · Cited by 571
Self-citation
Cited by
DSM-5 criteria for substance use disorders: recommendations and rationale
Hasin, D. S., O’Brien, C. P., Auriacombe, M., Borges, G., Bucholz, K., Budney, A., Compton, W. M., Crowley, T., Ling, W., Petry, N. M., et al. (2013) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2013.12060782 · Cited by 1,622
Lorains, F. K., Cowlishaw, S., & Thomas, S. A. (2011) · Addiction · doi:10.1111/j.1360-0443.2010.03300.x · Cited by 1,006
Pathological gambling: Etiology, comorbidity, and treatment.
Petry, N. M. (2005) · doi:10.1037/10894-000 · Cited by 659
Potenza, M. N., Balodis, I. M., Derevensky, J., Grant, J. E., Petry, N. M., Verdejo-Garcia, A., & Yip, S. W. (2019) · Nature Reviews Disease Primers · doi:10.1038/s41572-019-0099-7 · Cited by 437
Pathological gambling: a comprehensive review of biobehavioral findings
Goudriaan, A. E., Oosterlaan, J., de Beurs, E., & Van den Brink, W. (2004) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2004.03.001 · Cited by 313
Metadata
- Authors
- Stinchfield, R.
- Venue
- American Journal of Psychiatry
- Published
- 2003-01-01
- Volume
- 160
- Issue
- 1
- Pages
- 180-182
- ISSN
- 0002-953X (ISSN-L)
- 1535-7228
- OpenAlex
- W2164955275
- Cited by
- 285
- References
- 2
- FWCI
- 7.26
- 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
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.
