International Students’ Cross-Cultural Adjustment: Social Selection or Social Influence?

Sadewo, Giovanni Radhitio Putra; Kashima, Emiko S.; Gallagher, H. Colin; Kashima, Yoshihisa; Koskinen, Johan

doi:10.1177/0022022120930092

Cited by 8 publications

(3 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In other words, the dependent variable of SAOM indicates the change of ties in a whole social network, such as 0 (tie absence) to 1 (tie presence) or vice versa (1-0) over time (Snijders et al, 2010). Modeling tie creation and maintenance (dissolution) has also become common in this framework (Sadewo et al, 2020).…”

Section: Analytic Planmentioning

confidence: 99%

Generalized Trust and Social Selection Process

Igarashi

Hirashima

2021

Front. Commun.

View full text Add to dashboard Cite

Generalized trust relieves individuals in a socially uncertain situation from dyadic constraints of existing ties and helps them change ties with other individuals to acquire better resources. However, much evidence in the emancipation role of generalized trust as a booster of new relationship formation has been limited to laboratory experiments or cross-sectional surveys. We conducted a four-wave longitudinal survey to test whether individuals high in generalized trust actively switch ties and form open triads in dynamic social networks. Stochastic Actor-Oriented Models were employed to analyze structural changes in advice and personal discussion networks among first-year undergraduates. Results showed the predicted patterns of social selection processes based on generalized trust when the dynamics of the two networks were analyzed simultaneously: only in the advice network, individuals high in generalized trust tended to terminate existing ties, create new ties, and show a decreasing trend toward forming close triads when the degree of local clustering was large. Effective tie-formation strategies of individuals high in generalized trust in a multiplex network structure are discussed.

show abstract

Section: Analytic Planmentioning

confidence: 99%

Generalized Trust and Social Selection Process

Igarashi

Hirashima

2021

Front. Commun.

View full text Add to dashboard Cite

show abstract

“…In their research, generalized trust is a psychological trait measured by six items. Another example can be found in Sadewo et al [27], where two latent psychological traits (psychological adjustment and sociocultural adjustment) were analyzed with SAOM to test whether cross-cultural adjustment is a result of social selection or social influence among international graduate students. Perception of team psychological safety, the key interest of our study, can be viewed as one of the consequences of team interactions.…”

Section: Plos Onementioning

confidence: 99%

Relationships between changing communication networks and changing perceptions of psychological safety in a team science setting: Analysis with actor-oriented social network models

Luo

Jeon

et al. 2022

PLoS ONE

View full text Add to dashboard Cite

A growing evidence base suggests that complex healthcare problems are optimally tackled through cross-disciplinary collaboration that draws upon the expertise of diverse researchers. Yet, the influences and processes underlying effective teamwork among independent researchers are not well-understood, making it difficult to fully optimize the collaborative process. To address this gap in knowledge, we used the annual NIH mHealth Training Institutes as a testbed to develop stochastic actor-oriented models that explore the communicative interactions and psychological changes of its disciplinarily and geographically diverse participants. The models help investigate social influence and social selection effects to understand whether and how social network interactions influence perceptions of team psychological safety during the institute and how they may sway communications between participants. We found a degree of social selection effects: in particular years, scholars were likely to choose to communicate with those who had more dissimilar levels of psychological safety. We found evidence of social influence, in particular, from scholars with lower psychological safety levels and from scholars with reciprocated communications, although the sizes and directions of the social influences somewhat varied across years. The current study demonstrated the utility of stochastic actor-oriented models in understanding the team science process which can inform team science initiatives. The study results can contribute to theory-building about team science which acknowledges the importance of social influence and selection.

show abstract

“…In summary, although influencing factors have been comprehensively identified in previous studies, less research has focused on the interaction between factors and cooperative relationship networks. In addition, in traditional studies regarding social network issues, changes in network ties are determined by the factors above, which cannot include dynamic changes in relationships and actors' behavior simultaneously or examine how factors influence these changes [23]. To fill this gap, Snijders created a stochastic actor-oriented model (SAOM) from the perspective of dynamic social network analysis [24].…”

Section: Introductionmentioning

confidence: 99%

The Impact of Cooperative Behavior between Social Organizations during the COVID-19 Pandemic Outbreak in Shanghai: A Simulation Approach

Fang

Qin

Zhou

et al. 2023

IJERPH

View full text Add to dashboard Cite

In 2022, a new outbreak of the COVID-19 pandemic created considerable challenges for the Shanghai public health system. However, conventional prevention and control strategies, which only rely on formal organizations, inefficiently decrease the number of infections. Thus, a multi-organization management mode is needed for pandemic prevention. In this paper, we applied a stochastic actor-oriented model (SAOM) to analyze how these social organizations cooperate with others and further identify the mechanism that drives them to create a reliable and sustainable cooperative relationship network from the perspective of social network analysis. The model allowed us to assess the effects of the actor’s attributes, the network structure, and dynamic cooperative behavior in RSiena with longitudinal data collected from 220 participants in 19 social organizations. The results indicated that the number of cooperative relationships increased during the pandemic, from 44 to 162, which means the network between social organizations became more reliable. Furthermore, all the hypotheses set in four sub-models were significant (t-ratio < 0.1, overall max t-ratio < 0.25, and e/s > 2). Additionally, the estimated values showed that four factors played a positive role in forming the cooperative relationship network, i.e., all except the “same age group effect (−1.02)”. The results also indicated that the social organizations tend to build relationships with more active actors in the community in every time period. This paper is of great significance regarding the innovation of public health system management and the improvement of Chinese grassroots governance.

show abstract

International Students’ Cross-Cultural Adjustment: Social Selection or Social Influence?

Cited by 8 publications

References 74 publications

Generalized Trust and Social Selection Process

Generalized Trust and Social Selection Process

Relationships between changing communication networks and changing perceptions of psychological safety in a team science setting: Analysis with actor-oriented social network models

The Impact of Cooperative Behavior between Social Organizations during the COVID-19 Pandemic Outbreak in Shanghai: A Simulation Approach

Contact Info

Product

Resources

About