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Paul W Eastwick - One of the best experts on this subject based on the ideXlab platform.
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how do ideal friend preferences and interaction context affect Friendship Formation evidence for a domain general relationship initiation process
Social Psychological and Personality Science, 2020Co-Authors: Sabrina A Huang, Alison Ledgerwood, Paul W EastwickAbstract:This research examined how people’s ideal friend preferences influence the Friendship Formation process. In an extension of prior research on romantic relationship initiation, we tested whether the...
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How Do Ideal Friend Preferences and Interaction Context Affect Friendship Formation? Evidence for a Domain- General Relationship Initiation Process
eScholarship University of California, 2020Co-Authors: Sa Huang, Ledgerwood A, Paul W EastwickAbstract:This research examined how people’s ideal friend preferences influence the Friendship Formation process. In an extension of prior research on romantic relationship initiation, we tested whether the match between participants’ ideals and a partner’s traits affected participants’ interest in forming a new Friendship in three contexts: evaluating a potential friend’s profile, meeting in-person, and chatting online. Results revealed that participants were more interested in becoming friends with a partner whose traits matched (vs. mismatched) their ideal friend preferences when evaluating his or her profile. After a live interaction, however, the effect of the ideal-perceived trait match manipulation on participants’ Friendship interest was substantially reduced in both in-person and online chatting contexts. People’s ideal friend preferences may influence their Friendship interest more strongly in descriptive (i.e., indirect) than interactive (i.e., direct) contexts, a finding that mirrors prior results from the romantic domain and documents a role for domain-general relationship initiation processes
Vincent Boucher - One of the best experts on this subject based on the ideXlab platform.
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specification and estimation of network Formation and network interaction models with the exponential probability distribution
Quantitative Economics, 2020Co-Authors: Chihsheng Hsieh, Lungfei Lee, Vincent BoucherAbstract:In this paper, we model network Formation and network interactions under a unified framework. The key feature of our model is to allow individuals to respond to incentives stemming from interaction benefits on certain activities when they choose friends (network links), while capturing homophily in terms of unobserved characteristic variables in network Formation and activities. There are two advantages of this modeling approach: first, one can evaluate whether incentives from certain interactions are important factors for Friendship Formation or not. Second, in addition to homophily effects in terms of unobserved characteristics, inclusion of incentive effects in the network formulation also corrects possible Friendship selection bias on activity outcomes under network interactions. A theoretical foundation of this unified model is based on a complete inFormation cooperative game. A tractable Bayesian MCMC approach is proposed for the estimation of the model. We apply the model to empirically study American high school students' Friendship networks with the Add Health data. We consider two activity variables, GPA and smoking frequency, and find a significant incentive effect from GPA, but not from smoking, on Friendship Formation. These results suggest that the benefit of interactions in academic learning is an important factor for Friendship Formation, while the interaction benefit in smoking is not, even though homophily in smoking behavior is important for a smoker to link to other smokers. On the other hand, from the perspective of network interactions, both GPA and smoking frequency are subject to significant positive interaction (peer) effects.
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specification and estimation of network Formation and network interaction models with the exponential probability distribution
Social Science Research Network, 2019Co-Authors: Chihsheng Hsieh, Lungfei Lee, Vincent BoucherAbstract:In this paper, we model network Formation and network interactions under a unified framework. The key feature of our model is to allow individuals to respond to incentives that stem from interaction benefits of certain activities when they choose friends (network links), while capturing homophily in terms of unobserved characteristic variables in network Formation and activities. There are two advantages of this modeling approach: first, one can evaluate whether incentives from certain interactions are important factors for Friendship Formation or not. Second, in addition to homophily effects in terms of unobserved characteristics, inclusion of incentive effects in the network formulation also corrects possible Friendship selection bias on activity outcomes under network interactions. A theoretical foundation of this unified model is based on a sub-game perfect equilibrium of a two-stage game. A tractable Bayesian MCMC approach is proposed for the estimation of the model, and we demonstrate its finite sample performance in a simulation study. We apply the model to study empirically American high school students' Friendship networks from the Add Health dataset. We consider two activity variables, GPA and smoking frequency, and find a significant incentive effect from GPA, but not from smoking, on Friendship Formation. These results suggest that the benefit of interactions in academic learning is an important factor for Friendship Formation, whereas the interaction benefit of smoking is not. On the other hand, from the perspective of network interactions, both GPA and smoking frequency are subject to significant positive interaction (peer) effects.
Pierce Helen - One of the best experts on this subject based on the ideXlab platform.
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A qualitative study of the perceived relevance of social media platforms in Friendship Formation for post primary students
'Glucksman Library University of Limerick', 2020Co-Authors: Pierce HelenAbstract:non-peer-reviewedThe overall aim of this qualitative study is to explore the perceived relevance of social media platforms on the Friendships of adolescents. In particular, the study focuses on the lived experiences of a sample of post primary students and their perceptions of the relevance of social media in their everyday lives. There has been much research conducted to date on the merits and shortcomings of social media and the effect it has on the lives of adolescents (Alzahrani and Bach 2014; Boyd and Ellison 2008; Kennedy and Lynch 2016; Lynch 2014; Van Dijck 2013; Velten and Arif 2016). The current research in this area predominantly represents the opinions of developmental psychologists and guidance counsellors. When the views of adolescents are considered the research tends towards the positive attributes and the dangers associated with the ever-changing face of the smart phones. The researcher considered there to be a gap for such a study that portrays the voice of the adolescent and their opinion on how social media platforms influence their Friendships. During their time in post-primary education adolescents experience developmental stages for which they require certain supports including that of the guidance counselling services. The use of social media platforms is continuously increasing, therefore making the subject matter very pertinent. Further study of the effect it has on our adolescent students allows for a deeper understanding and therefore allows provision of appropriate guidance for them. This study employed an interpretive paradigm using focus groups to gather inFormation. It obtained the perceptions of 19 adolescent post-primary school students and their experience of Friendship Formation throughout their adolescence. In order to interpret the collected data the researcher utilised a thematic approach to identify, analyse and uncover thematic patterns within (Braun & Clarke 2006). The findings identify that social media platforms often serve to strengthen Friendship Formations. However, the findings also highlight how adolescents experience pressure to be constantly connected, this purportedly has implications for students both in their homes and at school. It also impacts on the school environment as issues which arise online often spill over into school life which has connotations for the available resources within a school. To conclude several recommendations are put forward to inform policy, practice and further research
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A qualitative study of the perceived relevance of social media platforms in Friendship Formation for post primary students
'Glucksman Library University of Limerick', 2020Co-Authors: Pierce HelenAbstract:The overall aim of this qualitative study is to explore the perceived relevance of social media platforms on the Friendships of adolescents. In particular, the study focuses on the lived experiences of a sample of post primary students and their perceptions of the relevance of social media in their everyday lives. There has been much research conducted to date on the merits and shortcomings of social media and the effect it has on the lives of adolescents (Alzahrani and Bach 2014; Boyd and Ellison 2008; Kennedy and Lynch 2016; Lynch 2014; Van Dijck 2013; Velten and Arif 2016). The current research in this area predominantly represents the opinions of developmental psychologists and guidance counsellors. When the views of adolescents are considered the research tends towards the positive attributes and the dangers associated with the ever-changing face of the smart phones. The researcher considered there to be a gap for such a study that portrays the voice of the adolescent and their opinion on how social media platforms influence their Friendships. During their time in post-primary education adolescents experience developmental stages for which they require certain supports including that of the guidance counselling services. The use of social media platforms is continuously increasing, therefore making the subject matter very pertinent. Further study of the effect it has on our adolescent students allows for a deeper understanding and therefore allows provision of appropriate guidance for them. This study employed an interpretive paradigm using focus groups to gather inFormation. It obtained the perceptions of 19 adolescent post-primary school students and their experience of Friendship Formation throughout their adolescence. In order to interpret the collected data the researcher utilised a thematic approach to identify, analyse and uncover thematic patterns within (Braun & Clarke 2006). The findings identify that social media platforms often serve to strengthen Friendship Formations. However, the findings also highlight how adolescents experience pressure to be constantly connected, this purportedly has implications for students both in their homes and at school. It also impacts on the school environment as issues which arise online often spill over into school life which has connotations for the available resources within a school. To conclude several recommendations are put forward to inform policy, practice and further research
Chihsheng Hsieh - One of the best experts on this subject based on the ideXlab platform.
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specification and estimation of network Formation and network interaction models with the exponential probability distribution
Quantitative Economics, 2020Co-Authors: Chihsheng Hsieh, Lungfei Lee, Vincent BoucherAbstract:In this paper, we model network Formation and network interactions under a unified framework. The key feature of our model is to allow individuals to respond to incentives stemming from interaction benefits on certain activities when they choose friends (network links), while capturing homophily in terms of unobserved characteristic variables in network Formation and activities. There are two advantages of this modeling approach: first, one can evaluate whether incentives from certain interactions are important factors for Friendship Formation or not. Second, in addition to homophily effects in terms of unobserved characteristics, inclusion of incentive effects in the network formulation also corrects possible Friendship selection bias on activity outcomes under network interactions. A theoretical foundation of this unified model is based on a complete inFormation cooperative game. A tractable Bayesian MCMC approach is proposed for the estimation of the model. We apply the model to empirically study American high school students' Friendship networks with the Add Health data. We consider two activity variables, GPA and smoking frequency, and find a significant incentive effect from GPA, but not from smoking, on Friendship Formation. These results suggest that the benefit of interactions in academic learning is an important factor for Friendship Formation, while the interaction benefit in smoking is not, even though homophily in smoking behavior is important for a smoker to link to other smokers. On the other hand, from the perspective of network interactions, both GPA and smoking frequency are subject to significant positive interaction (peer) effects.
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specification and estimation of network Formation and network interaction models with the exponential probability distribution
Social Science Research Network, 2019Co-Authors: Chihsheng Hsieh, Lungfei Lee, Vincent BoucherAbstract:In this paper, we model network Formation and network interactions under a unified framework. The key feature of our model is to allow individuals to respond to incentives that stem from interaction benefits of certain activities when they choose friends (network links), while capturing homophily in terms of unobserved characteristic variables in network Formation and activities. There are two advantages of this modeling approach: first, one can evaluate whether incentives from certain interactions are important factors for Friendship Formation or not. Second, in addition to homophily effects in terms of unobserved characteristics, inclusion of incentive effects in the network formulation also corrects possible Friendship selection bias on activity outcomes under network interactions. A theoretical foundation of this unified model is based on a sub-game perfect equilibrium of a two-stage game. A tractable Bayesian MCMC approach is proposed for the estimation of the model, and we demonstrate its finite sample performance in a simulation study. We apply the model to study empirically American high school students' Friendship networks from the Add Health dataset. We consider two activity variables, GPA and smoking frequency, and find a significant incentive effect from GPA, but not from smoking, on Friendship Formation. These results suggest that the benefit of interactions in academic learning is an important factor for Friendship Formation, whereas the interaction benefit of smoking is not. On the other hand, from the perspective of network interactions, both GPA and smoking frequency are subject to significant positive interaction (peer) effects.
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a social interactions model with endogenous Friendship Formation and selectivity
Journal of Applied Econometrics, 2016Co-Authors: Chihsheng Hsieh, Lungfei LeeAbstract:This paper considers the problem caused by endogenous association of members within a network when the spatial autoregressive (SAR) model is used to study outcomes with social interactions. When the spatial weights matrix (sociomatrix; adjacency matrix) in the SAR model represents a network structure, it might correlate with the disturbance term of the outcome equations which in consequence causes an endogenous selection problem in outcomes. We take into account this problem of selection bias with a modeling approach for a Friendship network. In this approach, a statistical network model which has an economic foundation is adopted to explain the endogenous network Formation process. By specifying unobserved components in both the network model and the SAR outcome equation, we can capture the correlation between the network Formation process and the outcome process and then restore a proper estimation procedure for the SAR outcome equations. The estimation of this model is demonstrated to be computationally tractable via Bayesian simulation methods. We provide a Monte Carlo experiment and empirical applications using the Add Health data to demonstrate the usefulness of this modeling approach.
Sabrina A Huang - One of the best experts on this subject based on the ideXlab platform.
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how do ideal friend preferences and interaction context affect Friendship Formation evidence for a domain general relationship initiation process
Social Psychological and Personality Science, 2020Co-Authors: Sabrina A Huang, Alison Ledgerwood, Paul W EastwickAbstract:This research examined how people’s ideal friend preferences influence the Friendship Formation process. In an extension of prior research on romantic relationship initiation, we tested whether the...
