Situational predictors of violent intentions: Results from a factorial survey

Willits, Dale

doi:10.1016/j.soscij.2014.10.004

Cited by 9 publications

(7 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The fact that the same respondent rates several vignettes provides a potential source of intraindividual variation, which must be controlled for to adjust standard errors. Therefore, multilevel random coefficient models have been suggested as an appropriate estimation procedure (Jasso, ; Hox, Kreft, and Hermkens, ; Lyons, ; Willits, ). Within this framework, the vignettes are considered the level 1 units nested within respondents, who become the level 2 units of analysis.…”

Section: Methodsmentioning

confidence: 99%

Deserving a Just Pension: A Factorial Survey Approach*

Castillo

Olivos

Azar

2018

Social Science Quarterly

View full text Add to dashboard Cite

Objective. This study analyzes which characteristics of pension recipients are taken into account when evaluating the fairness of pensions. Furthermore, it identifies some respondents' characteristics and preferences that could be related to the justice evaluation of different pension amounts. Methods. A factorial survey was designed to simultaneously analyze the association of respondents' and recipients' characteristics with the pensions' justice evaluation. Results. Findings indicate that although there is a consensual demand for larger pensions, it is still believed that pensions should be allocated primarily based on individual achievement. Conclusions. Although in general, larger pensions are on average considered as more just, the justice criteria rely heavily on individual achievement over redistributive considerations, showing willingness to accept very low pensions for those considered not deserving them.

show abstract

Section: Methodsmentioning

confidence: 99%

Deserving a Just Pension: A Factorial Survey Approach*

Castillo

Olivos

Azar

2018

Social Science Quarterly

View full text Add to dashboard Cite

show abstract

“…Similarly, deviant peers (differential associations) and low self-control have been found to predict criminal intentions (Skrzypiec, 2017). Willits (2015) found that anger, low self-control, prior violence and peer violence were all risk factors for violent intentions.…”

Section: The Risk-protective Factor Approachmentioning

confidence: 95%

“…Nevertheless, the majority of those who engage in criminal behaviors are likely to hold criminal attitudes. In recognition of this fact, while most of the research on risk factors has focused on behavioral outcomes, scholars have increasingly been interested in examining risk and protective factors for antecedent cognitive outcomes, including both criminal attitudes and intentions (e.g., Mazerolle & Piquero, 1997 ; Walters, 2017 ; Willits, 2015 , 2019 ).…”

Section: Introductionmentioning

confidence: 99%

Cognitive and behavioral radicalization: A systematic review of the putative risk and protective factors

Wolfowicz

Litmanovitz

Weisburd

et al. 2021

Campbell Systematic Reviews

View full text Add to dashboard Cite

Background Two of the most central questions in radicalization research are, (1) why do some individuals radicalize when most of those from the same groups or exposed to similar conditions do not? and (2) why do radicalized individuals turn to radical violence while the majority remain inert? It has been suggested that the answer to both questions lie in the cumulative and interactive effects of a range of risk factors. While risk assessment and counter‐radicalization take a risk‐protective factor approach, there is widespread debate as to what these factors are and which are most important. Objectives This review has two primary objectives. 1) To identify what the putative risk and protective factors for different radicalization outcomes are, without any predeterminations. 2) To synthesize the evidence and identify the relative magnitude of the effects of different factors. The review's secondary objectives are to: 1) Identify consistencies in the estimates of factors across different radicalization outcomes. 2) Identify whether any significant heterogeneity exists within factors between (a) geographic regions, and (b) strains of radicalizing ideologies. Search Methods Over 20 databases were searched for both published and gray literature. In order to provide a more comprehensive review, supplementary searches were conducted in two German and one Dutch database. Reference harvesting was conducted from previous reviews and contact was made with leading researchers to identify and acquire missing or unpublished studies. Selection Criteria The review included observational studies assessing the outcomes of radical attitudes, intentions, and/or radical behaviors in OECD countries and which provided sufficient data to calculate effect sizes for individual‐level risk and protective factors. Data Collection and Analysis One‐hundred and twenty‐seven studies, containing 206 samples met the inclusion criteria and provided 1302 effect sizes pertaining to over 100 different factors. Random effects meta‐analyses were carried out for each factor, and meta‐regression and moderator analysis were used to explore differences across studies. Results Studies were primarily cross‐sectional, with samples representing 20 countries OECD countries. Most studies examined no specific radicalizing ideology, while others focussed on specific ideologies (e.g., Islamist, right‐wing, and left‐wing ideologies). The studies generally demonstrated low risk of bias and utilized validated or widely acceptable measures for both indicators and outcomes. With some exceptions, sociodemographic factors tend to have the smallest estimates, with larger estimates for experiential and attitudinal factors, followed by traditional criminogenic and psychological factors. Authors' Conclusions While sociodemographic factors are the most commonly examined factors (selective availability), they also tend to have the smallest estimates. So too, attitudinal and even experiential factors, do not have effect sizes of the magnitude that could lead to significa...

show abstract

“…Finally, there is also evidence that the environment also affects emotional responses. According to Zajonc’s (1965) drive theory of social facilitation, the presence of other individuals in the environment increases arousal, and research suggests that onlookers can exacerbate a given conflict (Collins, 2009; D. Willits, 2015).…”

Section: Predictors Of Emotionality In Police–citizen Interactionsmentioning

confidence: 99%

Contextual Determinants of Observed Negative Emotional States in Police–Community Interactions

Makin¹,

Willits

Koslicki

et al. 2018

Criminal Justice and Behavior

View full text Add to dashboard Cite

Researchers universally agree that interactions between police and community members have the propensity to be emotionally charged. However, to date, there is limited research investigating situational and dynamic factors that make an interaction between a police officer and citizen more or less emotionally charged. Analyzing unedited police body-worn camera footage, associated with 287 criminal code violations, this research explores the individual, behavioral, and environmental factors that affect police officers’ and citizens’ emotional states during a police–citizen interaction. Results show clear variations at the situational, organizational, and environmental levels influencing the observed emotional state of the suspect and police officer.

show abstract

Situational predictors of violent intentions: Results from a factorial survey

Cited by 9 publications

References 62 publications

Deserving a Just Pension: A Factorial Survey Approach*

Deserving a Just Pension: A Factorial Survey Approach*

Cognitive and behavioral radicalization: A systematic review of the putative risk and protective factors

Contextual Determinants of Observed Negative Emotional States in Police–Community Interactions

Contact Info

Product

Resources

About