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 toimittajatDeLay, Dawn; Laursen, Brett; Kiuru, Noona; Rogers, Adam; Kindermann,Thomas; Nurmi, Jari-Erik

Lehti tai sarjaInternational Journal of Behavioral Development

ISSN0165-0254

eISSN1464-0651

Julkaisuvuosi2021

Ilmestymispäivä02.03.2021

Volyymi45

Lehden numero3

Artikkelin sivunumerot275-288

KustantajaSAGE Publications

JulkaisumaaBritannia

Julkaisun kielienglanti

DOIhttps://doi.org/10.1177/0165025421992866

Julkaisun avoin saatavuusEi avoin

Julkaisukanavan avoin saatavuus

Julkaisu on rinnakkaistallennettu (JYX)https://jyx.jyu.fi/handle/123456789/85089


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-asiasanatkoululaisetalakoululaisetvertaissuhteetvertaisoppiminensosiaalinen vuorovaikutussosiaaliset suhteetsosiaaliset verkostotmatemaattiset taidot

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


Liittyvät organisaatiot

JYU-yksiköt:


OKM-raportointiKyllä

Raportointivuosi2021

JUFO-taso2


Viimeisin päivitys 2024-22-04 klo 14:35