TY - JOUR
T1 - Technological and analytical advancements in intergroup contact research
AU - O'Donnell, Alexander W.
AU - Friehs, Maria Therese
AU - Bracegirdle, Chloe
AU - Zúñiga, Claudia
AU - Watt, Susan Ellen
AU - Barlow, Fiona Kate
PY - 2021/3
Y1 - 2021/3
N2 - The prolific expansion of intergroup contact research has established that intergroup interactions are tightly linked to social integration. In this review, recent technological and statistical innovations with the potential to advance this body of research are presented. First, concerns over the validity of longitudinal models are discussed before innovative analytical techniques are introduced that explore change over time. Next, intensive repeated measure designs, such as experience sampling approaches, are introduced as opportunities to investigate the day-to-day lives of individuals. Virtual reality technology is then presented as another means to examine naturalistic contact experiences in the laboratory, offering researchers an unrivaled capacity to induce uncommon contact experiences. Finally, we propose that additional sources of contextual data, such as competing media messages, could extend these models in innovative ways by accounting for the time and place surrounding intergroup contact. Similarly, longitudinal social network analysis can provide additional contextual information by considering the broader network environment in which contact occurs. We describe these innovations with the intention of spurring future research that will advance our understanding of how intergroup contact can be used to improve our societies. Thus, we conclude with a discussion on how to bridge divides between researchers and practitioners.
AB - The prolific expansion of intergroup contact research has established that intergroup interactions are tightly linked to social integration. In this review, recent technological and statistical innovations with the potential to advance this body of research are presented. First, concerns over the validity of longitudinal models are discussed before innovative analytical techniques are introduced that explore change over time. Next, intensive repeated measure designs, such as experience sampling approaches, are introduced as opportunities to investigate the day-to-day lives of individuals. Virtual reality technology is then presented as another means to examine naturalistic contact experiences in the laboratory, offering researchers an unrivaled capacity to induce uncommon contact experiences. Finally, we propose that additional sources of contextual data, such as competing media messages, could extend these models in innovative ways by accounting for the time and place surrounding intergroup contact. Similarly, longitudinal social network analysis can provide additional contextual information by considering the broader network environment in which contact occurs. We describe these innovations with the intention of spurring future research that will advance our understanding of how intergroup contact can be used to improve our societies. Thus, we conclude with a discussion on how to bridge divides between researchers and practitioners.
KW - experience sampling methods
KW - intergroup contact
KW - longitudinal
KW - media frames
KW - social network analysis
KW - virtual reality
UR - http://www.scopus.com/inward/record.url?scp=85101917360&partnerID=8YFLogxK
U2 - 10.1111/josi.12424
DO - 10.1111/josi.12424
M3 - Article
AN - SCOPUS:85101917360
SN - 0022-4537
VL - 77
SP - 171
EP - 196
JO - Journal of Social Issues
JF - Journal of Social Issues
IS - 1
ER -