Research Article: Axiological-Identitary Collective Action Model (AICAM): A new integrative perspective in the analysis of protest

Date Published: June 12, 2019

Publisher: Public Library of Science

Author(s): José Manuel Sabucedo, Marcos Dono, Dmitry Grigoryev, Cristina Gómez-Román, Mónica Alzate, Valerio Capraro.


Current predictive models of collective action have devoted little attention to personal values, such as morals or ideology. The present research addresses this issue by incorporating a new axiological path in a novel predictive model of collective action, named AICAM. The axiological path is formed by two constructs: ideology and moral obligation. The model has been tested for real normative participation (Study 1) and intentional non-normative participation (Study 2). The sample for Study 1 included 531 randomly selected demonstrators and non-demonstrators at the time of a protest that took place in Madrid, May 2017. Study 2 comprised 607 randomly selected participants who filled out an online questionnaire. Structural equation modelling analysis was performed in order to examine the fit and predictive power of the model. Results show that the model is a good fit in both studies. It has also been observed that the new model entails a significant addition of overall effect size when compared with alternative models, including SIMCA. The present research contributes to the literature of collective action by unearthing a new, independent path towards collective action that is nonetheless compatible with previous motives. Implications for future research are discussed, mainly stressing the need to include moral and ideological motives in the study of collective action engagement.

Partial Text

Washington D.C., 28 August 1963. Hundreds of thousands of people take part in the March on Washington for Jobs and Freedom as part of a claim for civil rights.

The objective of this study is to test the AICAM model in the context of a real demonstration. In our opinion, and whenever possible, it is desirable to analyse real collective action and not intention. This helps avoid the well-known behaviour-intention gap (for more details, see [38,39]).

As mentioned, Study 2 aimed to test the performance of the AICAM model in terms of predicting intention to participate in non-conventional collective action. The data analysis procedures will replicate that of Study 1.

In this work, two studies were proposed in order to analyse the predictive capacity of a new model (AICAM) of collective action. The novelty of this proposal was to incorporate an axiological path (ideology and moral obligation) into the classic predictors of injustice, identity and efficacy and to separate the distal and proximal antecedents of collective actions according to their place in the nomological network. The obtained results clearly support the explanatory power of the AICAM. The model has been effective in predicting two types of participation (conventional and non-conventional) and using two different operationalisations (real participation and intention). In both cases, the model has shown good rates of fit and explained variance, surpassing the indicators obtained by a proven model such as SIMCA [3].




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