The DOI matches its Crossref record.
The Game Performance Assessment Instrument (GPAI): Development and Preliminary Validation
Abstract
The purpose of this article is to report on the development and validation of the Game Performance Assessment Instrument (GPAI). The GPAI is a multidimensional system designed to measure game performance behaviors that demonstrate tactical understanding, as well as the player’s ability to solve tactical problems by selecting and applying appropriate skills. The GPAI provides analyses of individual game performance components (e.g., decisions made, skill execution, and support) and/or overall performance (e.g., game involvement and game performance). The individual game performance components were developed and evaluated by experts to determine validity and reliability. The GPAI protocol was field tested across three categories of games: invasion (soccer and basketball), net/wall (volleyball), and field/run/score (softball). Validity and reliability were examined through three separate studies using middle school physical education specialists and their sixth-grade classes. Findings suggest that the GPAI provides a valid and reliable method for assessing game performance.
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
Cited by
Teaching Games for Understanding and Situated Learning: Rethinking the Bunker-Thorpe Model
Kirk, D., & MacPhail, A. (2002) · Journal of Teaching in Physical Education · doi:10.1123/jtpe.21.2.177 · Cited by 462
Alternative assessment in physical education: a review of international literature
López-Pastor, V. M., Kirk, D., Lorente-Catalán, E., MacPhail, A., & Macdonald, D. (2013) · Sport, Education and Society · doi:10.1080/13573322.2012.713860 · Cited by 295
Shi, P., & Feng, X. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.1017825 · Cited by 113
Metadata
- Authors
- Oslin, J. L., Mitchell, S. A., & Griffin, L. L.
- Venue
- Journal of Teaching in Physical Education
- Publisher
- Human Kinetics
- Published
- 1998-01
- Volume
- 17
- Issue
- 2
- Pages
- 231-243
- ISSN
- 0273-5024 (ISSN-L)
- 1543-2769
- OpenAlex
- W2171185727
- Cited by
- 473
- References
- 0
- FWCI
- 9.42
- 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: The Game Performance Assessment Instrument (GPAI): Development and Preliminary Validation. https://app.cochat.ai/papers/10.1123/jtpe.17.2.231
- The paper
- Oslin, J. L., Mitchell, S. A., & Griffin, L. L. (1998). The Game Performance Assessment Instrument (GPAI): Development and Preliminary Validation. Journal of Teaching in Physical Education. https://doi.org/10.1123/jtpe.17.2.231
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.