Development and Validation of an Explicit Aggressive Beliefs and Attitudes Scale

Expression level of myocardial enzymes in patients with schizophrenia: Predictive value in the occurrence of violence

BACKGROUND

Schizophrenic patients are prone to violence, frequent recurrence, and difficult to predict. Emotional and behavioral abnormalities during the onset of the disease, resulting in active myocardial enzyme spectrum.

AIM

To explored the expression level of myocardial enzymes in patients with schizophrenia and its predictive value in the occurrence of violence.

METHODS

A total of 288 patients with schizophrenia in our hospital from February 2023 to January 2024 were selected as the research object, and 100 healthy people were selected as the control group. Participants' information, clinical data, and laboratory examination data were collected. According to Modified Overt Aggression Scale score, patients were further divided into the violent (123 cases) and non-violent group (165 cases).

RESULTS

The comparative analysis revealed significant differences in serum myocardial enzyme levels between patients with schizophrenia and healthy individuals. In the schizophrenia group, the violent and non-violent groups also exhibited different levels of serum myocardial enzymes. The levels of myocardial enzymes in the non-violent group were lower than those in the violent group, and the patients in the latter also displayed aggressive behavior in the past.

CONCLUSION

Previous aggressive behavior and the level of myocardial enzymes are of great significance for the diagnosis and prognosis analysis of violent behavior in patients with schizophrenia. By detecting changes in these indicators, we can gain a more comprehensive understanding of a patient's condition and treatment.

Adaptation of Questionnaire about Aggressive Beliefs and Attitudes in Spanish Adolescents

Aggressive beliefs and attitudes are increasingly present in adolescents, and it can be argued that they are a prevalent feature of adolescence. Michel, Pace, Edun, Sawhney, and Thomas’s (2014) original thirty-item scale was later shortened to a more parsimonious eight-item scale (ABA-SF). This study addresses the adaptation and validation of the brief Aggressive Beliefs and Attitudes Scale to Spanish adolescents. The sample comprised a group of Spanish adolescents (N = 771, M age = 14.01 years). A total of two studies were undertaken: (1) the scale was translated into Spanish and its internal consistency, factorial structure and convergent validity were established; and (2) factorial analysis was undertaken to confirm the questionnaire. The results yielded high scores for internal consistency, reliability (α = 0.82; Ω = 0.83) and convergent validity. The examination of the underlying nomological network revealed links with positive and negative feelings, anxiety and aggression. According to the Exploratory Factorial Analysis (EFA), the aggregate variance of the factors in the scale was 65.814%, indicating that they can explain variations in aggression levels in adolescents. For its part, the Factorial Confirmatory Analysis (FCA) confirmed the match between the translation and the model, leading to a sustainable model composed by the three factors identified and eight items: χ2 (17) = 30.693; p < 0.001; χ2/gL = 1.805; CFI = 0.968; NFI = 0.837; TLI = 0.944; RMSEA = 0.060, IC del 95% (0.048−0.072). The short scale is easy to understand and quick to complete and is thus considered a useful instrument to assess aggression levels in adolescents.

An Examination of Aggressive Beliefs and Attitudes in Relation to Political Affiliation and Candidate Endorsement in the United States

Social cognition provides insight into why Americans are largely divided with strong partisan rifts. The purpose of this set of studies was to examine social cognitive forms of aggression in relation to political party affiliation and political candidate endorsement. In Study 1 (N = 1,657), all forms of aggressive social cognitions (hostile attribution, potency, retribution, victimization by powerful others, derogation of target, and social discounting) were significantly associated with one or more political parties in some respect (Democrat, Republican, Independent). In Study 2 (N = 579), participants who endorsed Bernie Sanders reported higher scores on victimization, while participants who endorsed Donald Trump reported scores high on potency (social cognitive forms of aggression were unrelated to support for Hillary Clinton or Ted Cruz beyond political ideology). Results suggest that current political division goes beyond mere differences in political ideology as fundamental aggression-related individual differences appear to covary with how partisans see political parties and primary candidates. Implications include the potential application of our findings to better managing political interpersonal dynamics. For example, knowing that divergent political beliefs and behaviors are associated with fundamental differences in how people perceive the same stimuli may ease partisan hostility, facilitate dialog, and increase willingness to compromise.

The Thorny Relation Between Measurement Quality and Fit Index Cutoffs in Latent Variable Models

Latent variable modeling is a popular and flexible statistical framework. Concomitant with fitting latent variable models is assessment of how well the theoretical model fits the observed data. Although firm cutoffs for these fit indexes are often cited, recent statistical proofs and simulations have shown that these fit indexes are highly susceptible to measurement quality. For instance, a root mean square error of approximation (RMSEA) value of 0.06 (conventionally thought to indicate good fit) can actually indicate poor fit with poor measurement quality (e.g., standardized factors loadings of around 0.40). Conversely, an RMSEA value of 0.20 (conventionally thought to indicate very poor fit) can indicate acceptable fit with very high measurement quality (standardized factor loadings around 0.90). Despite the wide-ranging effect on applications of latent variable models, the high level of technical detail involved with this phenomenon has curtailed the exposure of these important findings to empirical researchers who are employing these methods. This article briefly reviews these methodological studies in minimal technical detail and provides a demonstration to easily quantify the large influence measurement quality has on fit index values and how greatly the cutoffs would change if they were derived under an alternative level of measurement quality. Recommendations for best practice are also discussed.

Psychometric properties of the Trauma and Distress Scale, TADS, in an adult community sample in Finland

BACKGROUND

There is increasing evidence that a history of childhood abuse and neglect is not uncommon among individuals who experience mental disorder and that childhood trauma experiences are associated with adult psychopathology. Although several interview and self-report instruments for retrospective trauma assessment have been developed, many focus on sexual abuse (SexAb) rather than on multiple types of trauma or adversity.

METHODS

Within the European Prediction of Psychosis Study, the Trauma and Distress Scale (TADS) was developed as a new self-report assessment of multiple types of childhood trauma and distressing experiences. The TADS includes 43 items and, following previous measures including the Childhood Trauma Questionnaire, focuses on five core domains: emotional neglect (EmoNeg), emotional abuse (EmoAb), physical neglect (PhyNeg), physical abuse (PhyAb), and SexAb.This study explores the psychometric properties of the TADS (internal consistency and concurrent validity) in 692 participants drawn from the general population who completed a mailed questionnaire, including the TADS, a depression self-report and questions on help-seeking for mental health problems. Inter-method reliability was examined in a random sample of 100 responders who were reassessed in telephone interviews.

RESULTS

After minor revisions of PhyNeg and PhyAb, internal consistencies were good for TADS totals and the domain raw score sums. Intra-class coefficients for TADS total score and the five revised core domains were all good to excellent when compared to the interviewed TADS as a gold standard. In the concurrent validity analyses, the total TADS and its all core domains were significantly associated with depression and help-seeking for mental problems as proxy measures for traumatisation. In addition, robust cutoffs for the total TADS and its domains were calculated.

CONCLUSIONS

Our results suggest the TADS as a valid, reliable, and clinically useful instrument for assessing retrospectively reported childhood traumatisation.

Aggressive Attitudes in Middle Schools

Student attitudes toward aggression have been linked to individual aggressive behavior, but the relationship between school-wide normative beliefs about aggression and aggressive behavior poses some important measurement challenges that have not been adequately examined. The current study investigated the factor structure, measurement invariance, and criterion-related validity of a six-item Aggressive Attitudes scale using a large sample of seventh- and eighth-grade students ( n = 39,364) from 423 schools. Analytic procedures accounted for the frequently ignored modeling problems of clustered and ordinal data to provide more reliable and accurate model estimates and standard errors. The resulting second-order factor structure of the Aggressive Attitudes scale demonstrated measurement invariance across gender, grade, and race/ethnicity groups. Criterion-related validity was supported with eight student- and school-level indices of aggressive behavior.