How Collective-Action Failure Shapes Group Heterogeneity and Engagement in Conventional and Radical Action Over Time

2021 ◽  
pp. 095679762097056
Author(s):  
Morgana Lizzio-Wilson ◽  
Emma F. Thomas ◽  
Winnifred R. Louis ◽  
Brittany Wilcockson ◽  
Catherine E. Amiot ◽  
...  
Keyword(s):  
Social Movements ◽  
Collective Action ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Social Identification ◽  
Future Research ◽  
Group Efficacy ◽  
Before And After ◽  
Using Data ◽  
Over Time

Extensive research has identified factors influencing collective-action participation. However, less is known about how collective-action outcomes (i.e., success and failure) shape engagement in social movements over time. Using data collected before and after the 2017 marriage-equality debate in Australia, we conducted a latent profile analysis that indicated that success unified supporters of change ( n = 420), whereas failure created subgroups among opponents ( n = 419), reflecting four divergent responses: disengagement (resigned acceptors), moderate disengagement and continued investment (moderates), and renewed commitment to the cause using similar strategies (stay-the-course opponents) or new strategies (innovators). Resigned acceptors were least inclined to act following failure, whereas innovators were generally more likely to engage in conventional action and justify using radical action relative to the other profiles. These divergent reactions were predicted by differing baseline levels of social identification, group efficacy, and anger. Collective-action outcomes dynamically shape participation in social movements; this is an important direction for future research.

scholarly journals When nonactivists care: Group efficacy mediates the effect of social identification and perceived instability on the legitimacy of collective action

2018 ◽  
Vol 22 (4) ◽  
pp. 563-577 ◽  
Author(s):  
Gloria Jiménez-Moya ◽  
Daniel Miranda ◽  
John Drury ◽  
Patricio Saavedra ◽  
Roberto González
Keyword(s):  
Social Movements ◽  
Collective Action ◽  
Indirect Effects ◽  
Social Identification ◽  
Care Group ◽  
Group Efficacy ◽  
The World ◽  
Levels Of Support ◽  
Shed Light

In recent years, multiple social movements have emerged around the world. In addition, public surveys indicate the highest recorded levels of support for protest. In this context of acceptance of collective action, we examine the role of nonactivists in the perceived legitimacy of social movements, as this “passive” support can contribute to social change. Given that antecedents of legitimacy have been neglected in the literature, we carried out a survey ( N = 605) among a general sample of the population in Chile to shed light on this issue. We found that social identification with movements and perceived instability predicted the perceived legitimacy of protests by social movements, and that both variables had only indirect effects through group efficacy. This suggests that perceiving social movements as able to achieve success can lead nonactivists to perceive their actions as legitimate, highlighting the importance to movements of being seen to be effective.

It’s About Time! Identifying and Explaining Unique Trajectories of Solidarity-Based Collective Action to Support People in Developing Countries

2021 ◽  
pp. 014616722110470
Author(s):  
Emma F. Thomas ◽  
Craig McGarty ◽  
Winnifred R Louis ◽  
Michael Wenzel ◽  
Simon Bury ◽  
...  
Keyword(s):  
Collective Action ◽  
Social Identification ◽  
Latent Growth ◽  
Group Efficacy ◽  
Longitudinal Methods ◽  
Growth Mixture Models ◽  
Growth Mixture ◽  
Over Time ◽  
Do So

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.

Providing instrumental support to older parents of multi-child families in China: are there different within-family patterns?

2021 ◽  
pp. 1-18
Author(s):  
Jia Chen ◽  
Xiaochen Zhou ◽  
Nan Lu
Keyword(s):  
Adult Children ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Multinomial Logistic Regression ◽  
Adult Child ◽  
Instrumental Support ◽  
Older Parents ◽  
Older Mothers ◽  
Family Patterns ◽  
Using Data

Abstract Older parents in China rely heavily on their adult children for instrumental assistance. In different multi-child families, multiple offspring may co-operate in providing instrumental support to older parents in distinct ways in terms of how much support they provide on average and how much differentiation exists between them when they provide such support within a family. We aimed to identify different within-family patterns in relation to multiple offspring's instrumental support to an older parent in Chinese multi-child families, and to investigate potential predictors for different within-family patterns. Using data from the China Family Panel Studies (2016), we had a working sample of 5,790 older adults aged 60+ (mean = 68.54, standard deviation = 6.60). We employed latent profile analysis (LPA) to classify within-family patterns and multinomial logistic regression to investigate predictors. Our findings identified three within-family patterns: dissociated (59.10%), highly differentiated (29.60%) and united-filial (11.30%). Older parents in the highly differentiated families tended to be older, mothers, divorced/widowed and to have poorer physical health compared to their counterparts in the dissociated families. In contrast, the composition characteristics of multiple adult children played more important roles in determining the united-filial within-family pattern. The united-filial families were more likely to have fewer adult children, at least one adult daughter and at least one co-residing adult child.

We are “the Resistance”: Predictors and consequences of self-categorization into the emerging movement to oppose Trump

2020 ◽  
pp. 136843022097475
Author(s):  
Samuel Hansen Freel ◽  
Rezarta Bilali ◽  
Erin Brooke Godfrey
Keyword(s):  
Social Media ◽  
Social Movements ◽  
Longitudinal Study ◽  
Collective Action ◽  
Social Movement ◽  
Efficacy Beliefs ◽  
Future Research ◽  
Identity Consolidation

In a three-wave longitudinal study conducted in the first 100 days of Trump’s presidency, this paper examines how people come to self-categorize into the emerging social movement “the Resistance,” and how self-categorization into this movement influences future participation in collective action and perceptions of the movement’s efficacy. Conventional collective action (e.g., protest, lobby legislators)—but not persuasive collective action (e.g., posting on social media)—and perceived identity consolidation efficacy of the movement at Wave 1 predicted a higher likelihood of self-categorization into the movement 1 month later (Wave 2) and 2 months later (Wave 3). Self-categorization into the Resistance predicted two types of higher subsequent movement efficacy perceptions, and helped sustain the effects of conventional collective action and movement efficacy beliefs at Wave 1 on efficacy beliefs at Wave 3. Implications for theory and future research on emerging social movements are discussed.

Who benefits most from an evidence-based program to reduce anxiety and depression in children? A latent profile analysis

2021 ◽  
pp. 1-9
Author(s):  
Silvia Melero ◽  
Alexandra Morales ◽  
Samuel Tomczyk ◽  
José Pedro Espada ◽  
Mireia Orgilés
Keyword(s):  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Target Population ◽  
Population Characteristics ◽  
Response To Treatment ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Older Children ◽  
Transition Analysis ◽  
Over Time

Abstract Comorbidity between anxiety and depression symptoms is often high in children. Person-oriented statistical approaches are useful to detect heterogeneity of individuals and diverse patterns of response to treatment. This study aimed to explore the different profiles in a sample of Spanish children who received the Super Skills for Life (SSL) transdiagnostic program, to identify which profile of individuals benefited most from the intervention and the likelihood of transition of symptom patterns over time. Participants were 119 children (42.9% were female) aged 8–12 years old (M = 9.39; SD = 1.26). Children completed anxiety and depression measures at the baseline, postintervention, and 12-months follow-up. Results from latent transition analysis (LTA) revealed two groups depending on the severity of the anxiety and depression symptoms: low symptoms (LS) and high symptoms (HS). LS group remained stable and HS decreased by 25%, switching to the LS group. Children with greater social anxiety benefited most from the program over time. Furthermore, older children were more likely to improve rapidly one year after the intervention compared to younger children. This study provides information to consider when implementing preventive interventions for schoolchildren and to tailor them according to the target population characteristics to increase their effectiveness.

scholarly journals Coprescribing of Benzodiazepines and Opioids in Older Adults: Rates, Correlates, and National Trends

2018 ◽  
Vol 74 (12) ◽  
pp. 1910-1915 ◽  
Author(s):  
Taeho Greg Rhee
Keyword(s):  
Older Adults ◽  
Future Research ◽  
Physician Visits ◽  
Prescribing Trends ◽  
Clinical Diagnoses ◽  
Nationally Representative ◽  
Using Data ◽  
National Trends ◽  
Ambulatory Medical Care ◽  
Over Time

Abstract Background To estimate prescribing trends of and correlates independently associated with coprescribing of benzodiazepines and opioids among adults aged 65 years or older in office-based outpatient visits. Methods I examined a nationally representative sample of office-based physician visits by older adults between 2006 and 2015 (n = 109,149 unweighted) using data from the National Ambulatory Medical Care Surveys (NAMCS). National rates and prescribing trends were estimated. Then, I used multivariable logistic regression analyses to identify demographic and clinical factors associated with coprescriptions of benzodiazepines and opioids. Results From 2006 to 2015, 15,954 (14.6%) out of 109,149 visits, representative of 39.3 million visits nationally, listed benzodiazepine, opioid, or both medications prescribed. The rate of prescription benzodiazepines only increased monotonically from 4.8% in 2006–2007 to 6.2% in 2014–2015 (p < .001), and the rate of prescription opioids only increased monotonically from 5.9% in 2006–2007 to 10.0% in 2014–2015 (p < .001). The coprescribing rate of benzodiazepines and opioids increased over time from 1.1% in 2006–2007 to 2.7% in 2014–2015 (p < .001). Correlates independently associated with a higher likelihood of both benzodiazepine and opioid prescriptions included: female sex, a visit for chronic care, receipt of six or more concomitantly prescribed medications, and clinical diagnoses of anxiety and pain (p < .01 for all). Conclusion The coprescribing rate of benzodiazepines and opioids increased monotonically over time in outpatient care settings. Because couse of benzodiazepines and opioids is associated with medication burdens and potential harms, future research is needed to address medication safety in these vulnerable populations.

Exploring Science Career Interest: Latent Profile Analysis of High School Occupational Preferences for Science

2018 ◽  
Vol 46 (5) ◽  
pp. 583-598 ◽  
Author(s):  
Sarah L. Ferguson ◽  
Darrell M. Hull
Keyword(s):  
High School ◽  
Gender Differences ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Future Research ◽  
Academic Experience ◽  
Science Interest ◽  
Future Research Directions ◽  
The Impact ◽  
Latent Profile

The present study evaluates high school juniors and seniors ( n = 295) to explore their preference for science as indicated by science motivation, attitude, academic experience, and interest. Latent profile analysis was used to model profiles of preferences for science with a person-centered approach. Then, the impact of self-concept variables was explored and four profiles of science interest were identified. Gender differences were of particular interest due to concerns noted in the literature, and some gender differences were identified in the present study. Covariate analysis indicated vocabulary ability and personality as significantly different for students in the high science interest profile. Implications of these results and future research directions are discussed.

Why Do Patients Protest? Collective Action Processes in People With Chronic Illnesses

2017 ◽  
pp. 1197-1219 ◽  
Author(s):  
Davide Mazzoni ◽  
Augusta Isabella Alberici
Keyword(s):  
Collective Action ◽  
Patient Engagement ◽  
Group Identification ◽  
Theoretical Explanation ◽  
Chronic Illnesses ◽  
Future Research ◽  
Perceived Injustice ◽  
Group Efficacy ◽  
New Directions ◽  
Core Elements

Despite the relevance of the topic, an exhaustive psychosocial reflection on the processes that may facilitate patients' protest is still missing. The chapter provides a theoretical and empirical overview of psychosocial pathways for patients' collective action. Five core factors are reviewed: perceived injustice, group efficacy, group identification, moral convictions and social embeddedness. Each of them provides a different explanation of collective action processes and is examined for its potential impact among patients. The chapter closes suggesting some core elements for a theoretical explanation of patients' collective action and its relationship with patient engagement. Practical and theoretical implications of patients' collective action are discussed to identify new directions for future research and interventions.

Classification and characterization of US consumers based on their perceptions of risk of tablet use in international hotels

2019 ◽  
Vol 10 (3) ◽  
pp. 233-254 ◽  
Author(s):  
Cristian Morosan ◽  
Agnes DeFranco
Keyword(s):  
Cyber Security ◽  
Risk Perceptions ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Cyber Attacks ◽  
Security Risk ◽  
Content Type ◽  
Perceptions Of Risk ◽  
Using Data

Purpose Cyber-attacks on hotel information systems could threaten the privacy of consumers and the integrity of the data they exchange upon connecting their mobile devices to hotel networks. As the perceived cyber-security risk may be reflected heterogeneously within the US consumer population traveling internationally, the purpose of this study is to examine such heterogeneity to uncover classes of US consumers based on their perceptions of risk of using tablets for various tasks when staying in hotels abroad. Design/methodology/approach Using data collected from 1,016 US consumers who stayed in hotels abroad, this study used latent profile analysis (LPA) to classify the consumers based on their perceptions of risk associated with several tablet use behaviors in hotels. Findings The analysis uncovered four latent classes and produced a characterization of these classes according to several common behavioral (frequency of travel, the continent of the destination, duration of stay and purpose of travel) and demographic (gender, age, income and education) consumer characteristics. Originality/value Being the first study that classifies consumers based on the risk of using tablets in hotels while traveling internationally, this study brings the following contributions: offers a methodology of classifying (segmenting) consumer markets based on their cyber-security risk perceptions, uses LPA, which provides opportunities for an accurate and generalizable characterization of multivariate data that comprehensively illustrate consumer behavior and broadens the perspective offered by the current literature by focusing on consumers who travel from their US residence location to international destinations.

Bringing The Outsiders In: Opponents' Claims and The Construction of Animal Rights Activists' Identity

2002 ◽  
Vol 7 (3) ◽  
pp. 253-268 ◽  
Author(s):  
Rachel Einwohner
Keyword(s):  
Social Movements ◽  
Collective Action ◽  
Identity Construction ◽  
Symbolic Interactionism ◽  
Animal Rights ◽  
Complete Picture ◽  
Movement Dynamics ◽  
Sense Of Identity ◽  
Using Data

Most research on the role of identity in social movements treats identity as something that is constructed solely by movement participants themselves. However, participants are not the only actors involved in this identity construction. This article uses basic insights from symbolic interactionism to argue that external claims, or claims made about movement participants by those outside the movement, also shape activists' sense of identity. Using data collected during three years of fieldwork with members of a non-violent animal rights organization, I show how the activists made use of their opponents' depictions of them—in particular, charges that the activists were "overly emotional" and "irrational"—when describing themselves. Specifically, I illustrate two processes by which these external claims left their mark on the activists' identity: identity disconfirmation and identity recasting. More broadly, I suggest that "bringing the outsiders in" to examinations of identity and collective action provides a more complete picture not simply of identity construction but of movement dynamics as a whole.

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