The DOI matches its Crossref record; 39 of the 44 references it cites were found in a registry or an index.
Development and validation of a mood measure for adolescents
Abstract
The aim of this study was to develop and validate a shortened version of the Profile of Mood States suitable for use with adolescents. The Profile of Mood States-Adolescents (POMS-A) was administered to 1693 participants from two populations: school children and young athletes. Confirmatory factor analysis supported the factorial validity of a 24-item six-factor model using both independent and multi-sample analyses. Correlations of POMS-A scores with previously validated inventories, which were consistent with theoretical predictions, provided evidence of criterion validity. It is proposed that the POMS-A is a valid instrument for the assessment of mood in adolescents.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
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?
In the citing paper
“This scale has demonstrated good reliability and criterion validity in the assessment of mood in adolescent populations [50,51].”
From A Virtual Reality–Based Cognitive Defusion Application for Youth Depression and Anxiety: Mixed Methods Experimental Study. (2025) · cites this paper as [50]
Citations
Cites
Tabachnick, B. G., & Fidell, L. S. (1983) · Cited by 79,882
Coefficient Alpha and the Internal Structure of Tests
Cronbach, L. J. (1951) · Psychometrika · doi:10.1007/bf02310555 · Cited by 43,931
Development and validation of brief measures of positive and negative affect: The PANAS scales.
Watson, D., Clark, L. A., & Tellegen, A. (1988) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.54.6.1063 · Cited by 32,433
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
Comparative fit indexes in structural models.
Bentler, P. M. (1990) · Psychological Bulletin · doi:10.1037/0033-2909.107.2.238 · Cited by 25,266
Structural Equations with Latent Variables
Bollen, K. A. (1989) · Wiley series in probability and statistics · doi:10.1002/9781118619179 · Cited by 17,944
Structural Equations with Latent Variables.
Clogg, C. C., & Bollen, K. A. (1991) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2072165 · Cited by 17,475
EQS : structural equations program manual
Bentler, P. M. (1989) · Medical Entomology and Zoology · Cited by 9,669
Structural model evaluation and modification: An interval estimation approach
Steiger, J. H. (1990) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2502_4 · Cited by 7,408
A Reliability Coefficient for Maximum Likelihood Factor Analysis
Tucker, L. R., & Lewis, C. (1973) · Psychometrika · doi:10.1007/bf02291170 · Cited by 7,330
Research works printed but not linked: 4
- Kline, P. (1993). Handbook of Psychological Testing. London: Routledge.
- Martens, R., Vealey, R.S., Burton, D., Bump, L. and Smith, D.E. (1990). Development and validation of the Competitive Sports Anxiety Inventory 2. In Competitive Anxiety in Sport (edited by R. Martens, R.S. Vealey and D. Burton), pp. 117-178. Champaign, IL: Human Kinetics.
- Schutz, R.W. (1994). Methodological issues and measurement problems in sport psychology. In International Perspectives on Sport and Exercise Psychology (edited by S. Serpa, J. Alves and V. Pataco), pp. 35-57. Morgantown, WV: Fitness Information Technology.
- Schutz, R.W. and Gessaroli, M.E. (1993). Use, misuse, and disuse of statistics in psychology research. In Handbook of Research on Sport Psychology (edited by R.N. Singer, M. Murphey and L.K. Tennant), pp. 901-921. New York: Macmillan.
Cited by
Sorted by citations
Saw, A. E., Main, L. C., & Gastin, P. B. (2015) · British Journal of Sports Medicine · doi:10.1136/bjsports-2015-094758 · Cited by 1,077
“1 3 – 6 8 89 92 93 This may be supplemented with a more comprehensive measure such as the POMS or RESTQ-S on a weekly basis, 1 8 92 and objective measures on a less-frequent basis such as once per training microcycle.”
BackgroundInfluentialThe Mechanisms of Massage and Effects on Performance, Muscle Recovery and Injury Prevention
Weerapong, P., Hume, P. A., & Kolt, G. S. (2005) · Sports Medicine · doi:10.2165/00007256-200535030-00004 · Cited by 788
Mountjoy, M., Ackerman, K. E., Bailey, D. M., Burke, L. M., Constantini, N., Hackney, A. C., Heikura, I. A., Melin, A., Pensgaard, A. M., Stellingwerff, T., et al. (2023) · British Journal of Sports Medicine · doi:10.1136/bjsports-2023-106994 · Cited by 724
A comparison of the discrete and dimensional models of emotion in music
Eerola, T., & Vuoskoski, J. K. (2010) · Psychology of Music · doi:10.1177/0305735610362821 · Cited by 739
“‘Negative mood’ (POMS-A; Terry et al., 1999) was, perhaps unsurprisingly, related to increased ratings of sadness (r = 0.29, p < .05).”
BackgroundResultInfluentialConstruct validity of the Profile of Mood States — Adolescents for use with adults
Terry, P. C., Lane, A. M., & Fogarty, G. J. (2003) · Psychology of Sport and Exercise · doi:10.1016/s1469-0292(01)00035-8 · Cited by 622
Self-citation
Metadata
- Authors
- Terry, P. C., Lane, A. M., Lane, H. J., & Keohane, L.
- Affiliations
- Brunel University of London (GB)
- Venue
- Journal of Sports Sciences
- Publisher
- Informa UK Limited
- Published
- 1999-01
- Volume
- 17
- Issue
- 11
- Pages
- 861-872
- ISSN
- 0264-0414 (ISSN-L)
- 1466-447X
- OpenAlex
- W2119699779
- Cited by
- 548
- References
- 44
- Citations by year
- 2026: 25 · 2025: 26 · 2024: 28 · 2023: 36 · 2022: 35 · 2021: 43 · 2020: 31 · 2019: 26 · 2018: 32 · 2017: 25 · 2016: 23 · 2015: 22 · 2014: 23 · 2013: 20 · 2012: 21
- FWCI
- 13.50
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Sports Sciences (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Social Sciences › Psychology › Developmental and Educational Psychology › Sport Psychology and Performance
- Keywords
- Profile of Mood States, adolescents, mood measurement, short-form scale development, factorial validity, criterion validity, multi-sample analysis, youth athletes, elementary school students
- MeSH terms
- Adolescent, Adolescent Behavior, Affect, Female, United Kingdom, Humans, Male, Personality Tests, Sensitivity and Specificity, Sports, Reproducibility of Results
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