Recently, the social sciences have witnessed a rising interest in dyadic design, as an efficient way to disentangle mechanisms of interpersonal influence. Despite the relevance of this design to political research, few efforts have been made to collect and efficiently analyze dyadic data. In this article, we suggest the Actor-Partner Interdependence Model as a useful tool to test bidirectional effects in dyadic data on political attitudes and behaviors. The model explicitly assumes that members of a dyad (reciprocally identified as actor and partner) involved in political communication are interdependent and influence each other. We apply the model to estimate the effect of partner's party identification on actor's vote choice, using 1996 I...
Cooperation has been a focus of intense interest in the biological and social sciences. Yet in spite...
« Les gens qui parlent ensemble votent ensemble ». En écrivant ces quelques mots, le sociologue brit...
Stas L, Kenny DA, Mayer A, Loeys T. Giving dyadic data analysis away: A user‐friendly app for actor–...
Interpersonal disagreement has been linked to a variety of democratic outcomes, and classic theories...
This dissertation contributes to the study of social influence on public opinion and political behav...
Dyadic data analysis with distinguishable dyads assesses the variance, not only between dyads, but a...
Objective: The authors study how partners are relevant to voting. Background: Previous studies have ...
We employ social network data from 25 randomly sampled voluntary associations to understand the fact...
The role of dyadic trade dependence in reducing conflict has been a subject of some dispute in the r...
Recent research has found a surprising degree of homogeneity in the personal political communication...
The current study investigates the theory of political assortative mating, which is the theory that ...
In social and behavioral science, dyadic research has become more and more popular. In case of cross...
Recent research has found a surprising degree of homogeneity in the personal political communication...
Why do members of the United States Congress choose to cosponsor legislation proposed by their colle...
The actor-partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dy...
Cooperation has been a focus of intense interest in the biological and social sciences. Yet in spite...
« Les gens qui parlent ensemble votent ensemble ». En écrivant ces quelques mots, le sociologue brit...
Stas L, Kenny DA, Mayer A, Loeys T. Giving dyadic data analysis away: A user‐friendly app for actor–...
Interpersonal disagreement has been linked to a variety of democratic outcomes, and classic theories...
This dissertation contributes to the study of social influence on public opinion and political behav...
Dyadic data analysis with distinguishable dyads assesses the variance, not only between dyads, but a...
Objective: The authors study how partners are relevant to voting. Background: Previous studies have ...
We employ social network data from 25 randomly sampled voluntary associations to understand the fact...
The role of dyadic trade dependence in reducing conflict has been a subject of some dispute in the r...
Recent research has found a surprising degree of homogeneity in the personal political communication...
The current study investigates the theory of political assortative mating, which is the theory that ...
In social and behavioral science, dyadic research has become more and more popular. In case of cross...
Recent research has found a surprising degree of homogeneity in the personal political communication...
Why do members of the United States Congress choose to cosponsor legislation proposed by their colle...
The actor-partner interdependence model (APIM) is widely used for analyzing dyadic data. Although dy...
Cooperation has been a focus of intense interest in the biological and social sciences. Yet in spite...
« Les gens qui parlent ensemble votent ensemble ». En écrivant ces quelques mots, le sociologue brit...
Stas L, Kenny DA, Mayer A, Loeys T. Giving dyadic data analysis away: A user‐friendly app for actor–...