The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
A Latent Growth Curve Analysis of Prosocial Behavior Among Rural Adolescents
Abstract
The present study was designed to investigate stability and changes in prosocial behavior and the parent and peer correlates of prosocial behavior in rural adolescents. Participants were from a rural, low SES community in the Eastern United States. The participants were in 7th, 8th, and 9th grades at Time 1 and 10th, 11th, and 12th grades at Time 4, and completed measures of prosocial behavior and quality of parent and peer relationships. Latent growth curve modeling revealed that despite moderate stability in individual differences in prosocial behavior and slight increases in quality of peer and parent relationships, level of prosocial behavior declined until late high school with a slight rebound in grade 12. Furthermore, increases in the quality of peer relationships predicted decreases in prosocial behavior for girls but not boys. Discussion focuses on continuity and change in prosocial behavior and the gender‐based relations between quality of parent and peer relationships and prosocial behaviors in adolescence.
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
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638
Marsh, H. W., Hau, K.-T., & Wen, Z. (2004) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem1103_2 · Cited by 6,691
A comparison of inclusive and restrictive strategies in modern missing data procedures.
Collins, L. M., Schafer, J. L., & Kam, C.-M. (2001) · Psychological Methods · doi:10.1037/1082-989x.6.4.330 · Cited by 2,389
The Intensification of Gender-Related Role Expectations during Early Adolescence
Hill, J. P., & Lynch, M. E. (1983) · Girls at Puberty · doi:10.1007/978-1-4899-0354-9_10 · Cited by 1,097 · cited 1×
“Gender differences in prosocial behaviors might be expected to intensify during adolescence as a result of the differential direct feedback that boys and girls receive from socialization agents (e.g., Hill & Lynch, 1983).”
BackgroundThe Development of a Measure of Prosocial Behaviors for Late Adolescents
Carlo, G., & Randall, B. A. (2002) · Journal of Youth and Adolescence · doi:10.1023/a:1014033032440 · Cited by 1,004
Self-citationAutoregressive Latent Trajectory (ALT) Models A Synthesis of Two Traditions
Bollen, K. A., & Curran, P. J. (2004) · Sociological Methods & Research · doi:10.1177/0049124103260222 · Cited by 447 · cited 1×
“Signifi cant 1 Autoregressive models with cross-lagged relations were also examined individually and within the context of autoregressive latent trajectory models (see Bollen & Curran, 2004; Curran & Bollen, 2001).”
Method
Cited by
Allemand, M., Steiger, A. E., & Fend, H. A. (2015) · Journal of Personality · doi:10.1111/jopy.12098 · Cited by 270
Moral Cognitions and Prosocial Responding in Adolescence
Eisenberg, N., Morris, A. S., McDaniel, B., & Spinrad, T. L. (2009) · Handbook of Adolescent Psychology · doi:10.1002/9780470479193.adlpsy001009 · Cited by 153
Forgiveness, Gratitude, Happiness, and Prosocial Bystander Behavior in Bullying
García-Vázquez, F. I., Valdés-Cuervo, A. A., Martínez-Ferrer, B., & Parra-Pérez, L. G. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.02827 · Cited by 50
Forgiveness as a Mediator between Psychological Suzhi and Prosocial Behavior in Chinese Adolescents
Chen, X., Zhao, H., & Zhang, D. (2022) · Behavioral Sciences · doi:10.3390/bs12090330 · Cited by 8
Metadata
- Authors
- Carlo, G., Crockett, L. J., Randall, B. A., & Roesch, S. C.
- Venue
- Journal of Research on Adolescence
- Publisher
- Wiley
- Published
- 2007-05
- Volume
- 17
- Issue
- 2
- Pages
- 301-324
- ISSN
- 1050-8392 (ISSN-L)
- 1532-7795
- OpenAlex
- W2143742868
- Cited by
- 193
- References
- 6
- FWCI
- 4.20
- 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: A Latent Growth Curve Analysis of Prosocial Behavior Among Rural Adolescents. https://app.cochat.ai/papers/10.1111/j.1532-7795.2007.00524.x
- The paper
- Carlo, G., Crockett, L. J., Randall, B. A., & Roesch, S. C. (2007). A Latent Growth Curve Analysis of Prosocial Behavior Among Rural Adolescents. Journal of Research on Adolescence. https://doi.org/10.1111/j.1532-7795.2007.00524.x
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.
