A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
A comparison of dyadic and social network assessments of peer influence (2021)


DeLay, D., Laursen, B., Kiuru, N., Rogers, A., Kindermann, T., & Nurmi, J.-E. (2021). A comparison of dyadic and social network assessments of peer influence. International Journal of Behavioral Development, 45(3), 275-288. https://doi.org/10.1177/0165025421992866


JYU-tekijät tai -toimittajat


Julkaisun tiedot

Julkaisun kaikki tekijät tai toimittajat: DeLay, Dawn; Laursen, Brett; Kiuru, Noona; Rogers, Adam; Kindermann,Thomas; Nurmi, Jari-Erik

Lehti tai sarja: International Journal of Behavioral Development

ISSN: 0165-0254

eISSN: 1464-0651

Julkaisuvuosi: 2021

Ilmestymispäivä: 02.03.2021

Volyymi: 45

Lehden numero: 3

Artikkelin sivunumerot: 275-288

Kustantaja: SAGE Publications

Julkaisumaa: Britannia

Julkaisun kieli: englanti

DOI: https://doi.org/10.1177/0165025421992866

Julkaisun avoin saatavuus: Ei avoin

Julkaisukanavan avoin saatavuus:


Tiivistelmä

The present study compares two methods for assessing peer influence: the longitudinal actor–partner interdependence model (L-APIM) and the longitudinal social network analysis (L-SNA) Model. The data were drawn from 1,995 (49% girls and 51% boys) third grade students (M age = 9.68 years). From this sample, L-APIM (n = 206 indistinguishable dyads and n = 187 distinguishable dyads) and L-SNA (n = 1,024 total network members) subsamples were created. Students completed peer nominations and objective assessments of mathematical reasoning in the spring of the third and fourth grades. Patterns of statistical significance differed across analyses. Stable distinguishable and indistinguishable L-APIM dyadic analyses identified reciprocated friend influence such that friends with similar levels of mathematical reasoning influenced one another and friends with higher math reasoning influenced friends with lower math reasoning. L-SNA models with an influence parameter (i.e., average reciprocated alter) comparable to that assessed in L-APIM analyses failed to detect influence effects. Influence effects did emerge, however, with the addition of another, different social network influence parameter (i.e., average alter influence effect). The diverging results may be attributed to differences in the sensitivity of the analyses, their ability to account for structural confounds with selection and influence, the samples included in the analyses, and the relative strength of influence in reciprocated best as opposed to other friendships.


YSO-asiasanat: koululaiset; alakoululaiset; vertaissuhteet; vertaisoppiminen; sosiaalinen vuorovaikutus; sosiaaliset suhteet; sosiaaliset verkostot; matemaattiset taidot

Vapaat asiasanat: peer influence; dyadic data analysis; social network analysis; longitudinal methods; social context; peer relationships


Liittyvät organisaatiot

JYU-yksiköt:


OKM-raportointi: Kyllä

Raportointivuosi: 2021

Alustava JUFO-taso: 2


Viimeisin päivitys 2021-07-07 klo 17:54