Validation of an Extended Violent Ideations Scale to Measure Both 					Non-Sexual and Sexual Violent Ideations (The VIS-X)

Urruela, Carlota; Booth, Tom; Eisner, Manuel; Ribeaud, Denis; Murray, Aja Louise

doi:10.1027/1015-5759/a000698

Cited by 3 publications

(10 citation statements)

References 49 publications

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“…Finally, previous studies (Urruela et al, 2023) have reported the need for evidencebased tools applicable to forensic settings. Although the VIS-ES is still to be tested in Spanish forensic populations, we hope that this tool will enhance the objectivity, transparency, and efficiency of violence risk assessment processes in the future.…”

Section: Discussionmentioning

confidence: 94%

“…Second, the VIS-ES does not include any items related to sexual violent thoughts. A recently published extended version of this scale, the VIS-X (Urruela et al, 2023), confirmed that sexual and non-sexual violent thoughts belonged to two different dimensions. Since the VIS-X was developed in parallel to the VIS-ES, we were not able to test the differences across versions.…”

Section: Limitations and Future Directionsmentioning

confidence: 84%

“…In our study, the fit of the model was worse when including the two items related to sexual VIs, so researchers and practitioners aiming to measure this type of construct should bear in mind that the VIS-ES cannot capture this type of violent thoughts. In a recently published extended version of the instrument, the VIS-X (Urruela et al, 2023), the authors added further violent sexual ideation items to the original VIS (e.g., “stripping someone naked against their will”), which led to two differentiated sub-scales: one encompassing general violent ideations (with the 12 original items) and one including sexual violent ideations (with four items). Thus, it is important to bear in mind that the VIS-ES only measures general violent ideations and future research shall confirm if a translated and adapted version of the VIS-X to the Spanish population provides similar psychometric properties.…”

Section: Discussionmentioning

confidence: 99%

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Validation of the Violent Ideations Scale (VIS) in Spain

Urruela

Greco

Díaz-Faes

et al. 2023

Int J Offender Ther Comp Criminol

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Research has shown that violent ideations (VIs) may play a key role in aggression and violence. However, there is no tool to measure this construct adapted to the Spanish language so far. The current study aims to translate and evaluate the psychometric properties of the Violent Ideations Scale (VIS) in European Spanish. This study counts with a convenience sample of 752 native Spaniards or Spanish speakers residing in Spain, between 18- and 75-years old, 53% identified as female and 47% identified as male. The dimensionality, gender measurement invariance, concurrent validity and reliability of scores were assessed. Initial evidence of external validity was collected. Results confirmed the unidimensionality of the instrument. Measurement invariance held across females and males and reliabilities were high. VIS-ES scores correlated with aggressive behavior during the previous month. The VIS-ES seems suitable for use in non-clinical Spanish speaking samples.

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Section: Discussionmentioning

confidence: 94%

Section: Limitations and Future Directionsmentioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

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Validation of the Violent Ideations Scale (VIS) in Spain

Urruela

Greco

Díaz-Faes

et al. 2023

Int J Offender Ther Comp Criminol

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“…One item captured the use of tobacco, 1 captured alcohol use (beer and alcopops), 1 captured alcohol use (spirits) and 1 captured cannabis use. Violent ideations were measured using the expanded Violent Ideations Scale [ 41 , 42 ], capturing fantasies of committing acts of physical, indirect, and sexual violence across 17 items. Aggression was measured using 19 items from the SBQ, covering physical, indirect, proactive, and reactive aggression.…”

Section: Methodsmentioning

confidence: 99%

“…Of this sample, 979 had complete data on the below-described predictors and outcomes. See Table S1 and Table S2 in Multimedia Appendix 1 [32][33][34][35][36][37][38][39][40][41][42][43][44] for the descriptive statistics for these samples.…”

Section: Participantsmentioning

confidence: 99%

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study

Murray¹,

Ushakova²,

Zhu³

et al. 2023

J Med Internet Res

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Background Ecological momentary assessment (EMA) is widely used in health research to capture individuals’ experiences in the flow of daily life. The majority of EMA studies, however, rely on nonprobability sampling approaches, leaving open the possibility of nonrandom participation concerning the individual characteristics of interest in EMA research. Knowledge of the factors that predict participation in EMA research is required to evaluate this possibility and can also inform optimal recruitment strategies. Objective This study aimed to examine the extent to which being willing to participate in EMA research is related to respondent characteristics and to identify the most critical predictors of participation. Methods We leveraged the availability of comprehensive data on a general young adult population pool of potential EMA participants and used and compared logistic regression, classification and regression trees, and random forest approaches to evaluate respondents’ characteristic predictors of willingness to participate in the Decades-to-Minutes EMA study. Results In unadjusted logistic regression models, gender, migration background, anxiety, attention deficit hyperactivity disorder symptoms, stress, and prosociality were significant predictors of participation willingness; in logistic regression models, mutually adjusting for all predictors, migration background, tobacco use, and social exclusion were significant predictors. Tree-based approaches also identified migration status, tobacco use, and prosociality as prominent predictors. However, overall, willingness to participate in the Decades-to-Minutes EMA study was only weakly predictable from respondent characteristics. Cross-validation areas under the curve for the best models were only in the range of 0.56 to 0.57. Conclusions Results suggest that migration background is the single most promising target for improving EMA participation and sample representativeness; however, more research is needed to improve prediction of participation in EMA studies in health.

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Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study (Preprint)

Murray¹,

Ushakova²,

Zhu³

et al. 2022

Preprint

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BACKGROUND Ecological momentary assessment (EMA) is widely used in health research to capture individuals’ experiences in the flow of daily life. The majority of EMA studies; however, rely on non-probability sampling approaches, leaving open the possibility of non-random participation with respect to the individual characteristics of interest in EMA research. Knowledge of the factors that predict participation in EMA research is required to evaluate this possibility and can also inform optimal recruitment strategies. OBJECTIVE The present study aimed to examine the extent to which being willing to participate in EMA research is related to respondent characteristics and to identify the most critical predictors of participation. METHODS We leveraged the availability of comprehensive data on a general young adult population pool of potential EMA participants and used and compared logistic regression, classification and regression trees (CART), and random forest approaches to evaluate respondent characteristic predictors of willingness to participate in the Decades-to-Minutes (D2M) EMA study . RESULTS In unadjusted logistic regression models, gender, migration background, anxiety, ADHD symptoms, stress, and prosociality were significant predictors of participation willingness and in logistic regression models mutually adjusting for all predictors, migration background, tobacco use, and social exclusion were significant predictors. Tree-based approaches also identified migration status, tobacco use, and prosociality as prominent predictors. However, overall, willingness to participate in the D2M EMA study was only weakly predictable from respondent characteristics. Cross-validation areas under the curve (AUCs) for the best models were in the range of .56-.57. CONCLUSIONS Results suggest that migration background is the single most promising target for improving EMA participation and sample representativeness; however, more research is needed to improve prediction of participation in EMA studies in health.

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Validation of an Extended Violent Ideations Scale to Measure Both Non-Sexual and Sexual Violent Ideations (The VIS-X)

Cited by 3 publications

References 49 publications

Validation of the Violent Ideations Scale (VIS) in Spain

Validation of the Violent Ideations Scale (VIS) in Spain

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study

Predicting Participation Willingness in Ecological Momentary Assessment of General Population Health and Behavior: Machine Learning Study (Preprint)

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