The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
The Communicative Participation Item Bank (CPIB): Item Bank Calibration and Development of a Disorder-Generic Short Form
Open accessAbstract
Purpose: The purpose of this study was to calibrate the items for the Communicative Participation Item Bank (CPIB; Baylor, Yorkston, Eadie, Miller, & Amtmann, 2009; Yorkston et al., 2008) using item response theory (IRT). One overriding objective was to examine whether the IRT item parameters would be consistent across different diagnostic groups, thereby allowing creation of a disorder-generic instrument. The intended outcomes were the final item bank and a short form ready for clinical and research applications. Method: Self-report data were collected from 701 individuals representing 4 diagnoses: multiple sclerosis, Parkinson's disease, amyotrophic lateral sclerosis, and head and neck cancer. Participants completed the CPIB and additional self-report questionnaires. CPIB data were analyzed using the IRT graded response model. Results: The initial set of 94 candidate CPIB items were reduced to an item bank of 46 items demonstrating unidimensionality, local independence, good item fit, and good measurement precision. Differential item functioning analyses detected no meaningful differences across diagnostic groups. A 10-item, disorder-generic short form was generated. Conclusions: The CPIB provides speech-language pathologists with a unidimensional, self-report outcomes measurement instrument dedicated to the construct of communicative participation. This instrument may be useful to clinicians and researchers wanting to implement measures of communicative participation in their work.
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
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Rating neurologic impairment in multiple sclerosis: An expanded disability status scale (EDSS)
Kurtzke, J. F. (1983) · Neurology · doi:10.1212/wnl.33.11.1444 · Cited by 15,011
Testing Structural Equation Models.
Mueller, C. W., Bollen, K. A., & Long, J. S. (1994) · Contemporary Sociology · doi:10.2307/2074955 · Cited by 14,120
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Tucker, L. R., & Lewis, C. (1973) · Psychometrika · doi:10.1007/bf02291170 · Cited by 7,330
International Classification of Functioning Disability and Health (ICF)
Battistella, L. R., & Brito, C. M. M. D. (2002) · Acta Fisiátrica · doi:10.5935/0104-7795.20020003 · Cited by 4,446
(2000) · Cited by 4,106
Cedarbaum, J. M., Stambler, N., Malta, E., Fuller, C., Hilt, D., Thurmond, B., & Nakanishi, A. (1999) · Journal of the Neurological Sciences · doi:10.1016/s0022-510x(99)00210-5 · Cited by 3,307
Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., Ader, D., Fries, J. F., Bruce, B., & Rose, M. (2007) · Medical Care · doi:10.1097/01.mlr.0000258615.42478.55 · Cited by 3,118
U.S. Department of Health and Human Services FDA Center for Drug Evaluation and Research, U.S. Department of Health and Human Services FDA Center for Biologics Evaluation and Research, & U.S. Department of Health and Human Services FDA Center for Devices and Radiological Health (2006) · Health and Quality of Life Outcomes · doi:10.1186/1477-7525-4-79 · Cited by 2,856
Alternative ways of assessing model fit
Browne, M. (1993) · Medical Entomology and Zoology · Cited by 2,595
Cited by
Smith, K. M., & Caplan, D. N. (2018) · Brain and Language · doi:10.1016/j.bandl.2018.08.002 · Cited by 144
Berisha, V., & Liss, J. M. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01199-1 · Cited by 41
Metadata
- Authors
- Baylor, C., Yorkston, K., Eadie, T., Kim, J., Chung, H., & Amtmann, D.
- Venue
- Journal of Speech, Language, and Hearing Research
- Published
- 2013-08
- Volume
- 56
- Issue
- 4
- Pages
- 1190-1208
- ISSN
- 1092-4388 (ISSN-L)
- 1558-9102
- DOI
- 10.1044/1092-4388(2012/12-0140
- OpenAlex
- W2093604246
- Cited by
- 286
- References
- 72
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- green
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: The Communicative Participation Item Bank (CPIB): Item Bank Calibration and Development of a Disorder-Generic Short Form. https://app.cochat.ai/papers/10.1044/1092-4388(2012/12-0140
- The paper
- Baylor, C., Yorkston, K., Eadie, T., Kim, J., Chung, H., & Amtmann, D. (2013). The Communicative Participation Item Bank (CPIB): Item Bank Calibration and Development of a Disorder-Generic Short Form. Journal of Speech, Language, and Hearing Research. https://doi.org/10.1044/1092-4388(2012/12-0140
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.