Distinguishing sympathisers, philanthropists, rusted on activists and radicals: Using person‐centred analyses in collective action research

IF 4.8 2区 心理学 Q1 PSYCHOLOGY, SOCIAL Social and Personality Psychology Compass Pub Date : 2024-07-01 DOI:10.1111/spc3.12987
Emma F. Thomas, Lisette Yip, Morgana Lizzio‐Wilson
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Abstract

Many of our theories and models within social psychology implicitly refer to ‘types’ or subgroups of people who engage in collective action (activists, protestors), or do not (sympathisers, bystanders). Other frameworks differentiate between actors based on their adoption of tactics (benevolents, activists, radicals). How, empirically, do we distinguish sympathisers from activists? Activists from radicals? This paper describes recent research that adopts person‐centred statistical approaches (e.g., latent profile analysis, latent transition analysis, latent growth mixture models) to address three contemporary puzzles of collective action research. We present research showing that the methods are useful in identifying and explaining sub‐groups of people who seek to bring about change in qualitatively different ways. The methods are also useful for understanding volatility in collective action as well as identifying and understanding variation in how people sustain, increase, or diminish their commitment over time. There is nothing so practical as a good method and person‐centred statistical approaches are an important complement to variable‐centred approaches in social psychological research on collective action.
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区分同情者、慈善家、生锈的积极分子和激进分子:在集体行动研究中使用以人为本的分析方法
我们的许多社会心理学理论和模型都隐含地提到了参与集体行动(积极分子、抗议者)或不参与集体行动(同情者、旁观者)的人的 "类型 "或亚群。其他框架则根据行动者采取的策略(仁人志士、积极分子、激进分子)对他们进行区分。根据经验,我们如何区分同情者和积极分子?积极分子与激进分子?本文介绍了最近的一些研究,这些研究采用了以人为中心的统计方法(如潜在轮廓分析、潜在转变分析、潜在增长混合模型)来解决集体行动研究中的三个当代难题。我们介绍的研究表明,这些方法有助于识别和解释以不同方式寻求变革的人群子群体。这些方法还有助于理解集体行动的不稳定性,以及识别和理解人们随着时间的推移如何维持、增加或减少其承诺的变化。没有什么比好方法更实用的了,以人为中心的统计方法是对以变量为中心的集体行动社会心理学研究方法的重要补充。
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来源期刊
Social and Personality Psychology Compass
Social and Personality Psychology Compass Psychology-Social Psychology
CiteScore
5.20
自引率
2.20%
发文量
59
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