TY - JOUR
T1 - It’s About Time! Identifying and Explaining Unique Trajectories of Solidarity-Based Collective Action to Support People in Developing Countries
AU - Thomas, Emma F.
AU - McGarty, Craig
AU - Louis, Winnifred R.
AU - Wenzel, Michael
AU - Bury, Simon
AU - Woodyatt, Lydia
PY - 2022/10
Y1 - 2022/10
N2 - Social change occurs over years and decades, yet we know little about how people sustain, increase or diminish their actions over time, and why they do so. This article examines diverging trajectories of solidarity-based collective action to support people in developing nations more than 5 years. We suggest that sustained, diminished, and/or increased action over time will be predicted by identification as a supporter, group efficacy beliefs, and discrete emotions about disadvantage. Latent Growth Mixture Models (N = 483) revealed two trajectories with unique signatures: an activist supporter trajectory with a higher intercept and weakly declining action; and a benevolent supporter trajectory with a lower intercept but weakly increasing action. The activist trajectory was predicted by social identification, outrage, and hope, whereas the benevolent supporter trajectory was predicted by sympathy. The results highlight the role of combinations of emotions and the need for person-centered longitudinal methods in collective action research.
AB - Social change occurs over years and decades, yet we know little about how people sustain, increase or diminish their actions over time, and why they do so. This article examines diverging trajectories of solidarity-based collective action to support people in developing nations more than 5 years. We suggest that sustained, diminished, and/or increased action over time will be predicted by identification as a supporter, group efficacy beliefs, and discrete emotions about disadvantage. Latent Growth Mixture Models (N = 483) revealed two trajectories with unique signatures: an activist supporter trajectory with a higher intercept and weakly declining action; and a benevolent supporter trajectory with a lower intercept but weakly increasing action. The activist trajectory was predicted by social identification, outrage, and hope, whereas the benevolent supporter trajectory was predicted by sympathy. The results highlight the role of combinations of emotions and the need for person-centered longitudinal methods in collective action research.
KW - collective action
KW - efficacy
KW - emotion
KW - hope
KW - outrage
KW - social identification
KW - trajectories
UR - http://www.scopus.com/inward/record.url?scp=85116494882&partnerID=8YFLogxK
UR - http://purl.org/au-research/grants/ARC/DE120101029
UR - http://purl.org/au-research/grants/ARC/DP200101921
U2 - 10.1177/01461672211047083
DO - 10.1177/01461672211047083
M3 - Article
AN - SCOPUS:85116494882
SN - 0146-1672
VL - 48
SP - 1451
EP - 1464
JO - Personality and Social Psychology Bulletin
JF - Personality and Social Psychology Bulletin
IS - 10
ER -