Feelings of entrapment-posited to arise when attempts to escape from defeating or humiliating circumstances are blocked-may confer increased risk for psychopathology and suicidal thoughts and behaviors (STB), particularly among minoritized individuals who often have more frequent exposure to such experiences. Including entrapment in empirical models may aid research efforts in further exploring its role in minority mental health. The Entrapment Scale Short-Form (E-SF), a brief version of the 16-item Entrapment Scale, is one tool that may be utilized toward this end; however, to do so meaningfully, its psychometric properties and measurement invariance must be evaluated in diverse samples. This study aimed to examine the factor structure, measurement invariance, and convergent validity of the E-SF across race/ethnicity and sexual orientation in a combined transnational sample of minoritized adults (total N = 1,194). Results supported a one-factor model of the E-SF that was invariant across samples, race/ethnicity, sexual orientation, and history of suicide attempt. Furthermore, significant positive correlations observed between theoretically relevant constructs of anxiety, depression, and posttraumatic stress disorder symptoms supported its convergent validity. Implications include disproportionate levels of entrapment experienced by minoritized individuals-particularly by sexual minorities-which likely reflect the discrimination frequently endured by these individuals.

The Functionality Appreciation Scale (FAS) is increasingly used in diverse national and linguistic contexts. However, limited work has assessed the extent to which the instrument demonstrates measurement invariance and differential item functioning (DIF) across nations and respondent characteristics. Here, we examined measurement invariance and DIF of the FAS using archival data from adults in Colombia (Mebarak et al., 2023) and Spain (Zamora et al., 2024). Participants included 1420 (women n = 804, men n = 616) respondents from Colombia and 838 (women n = 415, men n = 423) respondents from Spain who completed translations of the FAS. Confirmatory factor analysis supported a unidimensional structure of the FAS in both national groups. Additionally, the FAS achieved full measurement invariance (up to latent mean invariance) across both groups. We also found that the FAS lacked DIF as a function of age, body mass index (BMI), and gender identity across both national groups. Older participants (relative to younger participants), men (relative to women), and participants with lower BMIs (relative to those with higher BMIs) had higher FAS scores. These results support the notion that the FAS is measuring a common underlying construct across these national groups and respondent characteristics.

The global COVID-19 pandemic saw marked research and clinical interest in evaluating pandemic-related distress, namely fear and anxiety regarding infection and death. The most widely used and earliest developed measure of COVID-19 distress is Ahorsu et al. (2022) seven-item Fear of COVID-19 Scale (FCV-19S). To investigate the factor structure and measurement equivalence of the FCV-19S, we conducted an item-level meta-analysis synthesizing 1155 effect sizes across k = 55 independent samples comprising N = 71,161 individuals. We found that a two-factor measurement model comprising a four-item Emotional factor and a three-item Psychosomatic factor exhibits better fit than the originally proposed single-factor measurement model. Moreover, the bidimensional FCV-19S exhibits partial scalar/strong invariance across the general population, healthcare workers, schoolteachers, and university students as well as partial metric/weak invariance across samples from Bangladesh, China, Japan, Pakistan, Poland, and Portugal. Despite the theoretical and practical implications of these findings, more primary research across a wider range of sample types and countries is undoubtedly needed for further evaluation of the FCV-19S\'s psychometric properties and generalizability.

UNASSIGNED: The present study aimed to further examine the factor structure and measurement invariance of the UDRQ among a sample of Hungarian university students.
UNASSIGNED: Firstly, the factor structure of the UDRQ was examined among 837 Hungarian university students. Specifically, two measurement models (first-order model and second-order model) were constructed and compared. Secondly, the internal consistency reliability of the UDRQ was examined. Thirdly, measurement invariance of the UDRQ was evaluated across genders. Finally, measurement invariance of the UDRQ was evaluated across two different samples.
UNASSIGNED: It was found that the first-order model outperformed the second-order model and better represented the factor structure of the UDRQ subscales. Results of Cronbach\'s alpha and Composite Reliability suggested that the internal consistency reliabilities of the two UDRQ subscales were satisfactory. Measurement invariance analysis revealed that the UDRQ measurement model was strict invariant across genders and samples.
UNASSIGNED: The findings of the present study indicated that the UDRQ displayed satisfactory reliability and validity and could be used to assess demands and resources of Hungarian university students.

The Revised Sociosexual Orientation Inventory (SOI-R) is a widely used measure in research, yet the invariance of this measure has not been established in English speaking Non-Hispanic White (NHW) and Hispanic/Latine populations. This study examined whether the SOI-R, a measure developed in Germany, was invariant between US Hispanic/Latina (N = 208) and NHW (N = 190) undergraduate women. Confirmatory factor analysis (CFA) was used to assess model fit in the Hispanic/Latina and NHW samples and fit of increasingly restrictive models was used to test configural, metric, scalar, and residual invariance of the models in both samples. CFA results revealed that data from both the Hispanic/Latina and NHW groups fit the model adequately in this sample, which consisted of highly acculturated Hispanic/Latina college women. Tests of measurement invariance found that the SOI-R was invariant across Hispanic/Latina and NHW college women. However, questions about the development of the SOI-R and the underlying assumptions made during the course of its development might be considered prior to the use of the measure in research, and further invariance testing should be conducted in future work with less acculturated Hispanic/Latine populations.

Both the Psychopathy Checklist-Revised (PCL-R) and the Psychopathy Checklist: Youth Version (PCL:YV), respectively, are established instruments for assessment of psychopathy and development of psychopathic propensity. To reliably compare scores from both instruments, measurement invariance must be established. The current study involved a combined sample of 1091 male participants (adults = 813; adolescents = 278) from correctional facilities in New Mexico. An exploratory structural equation modeling (ESEM) framework was used to test for measurement invariance. The four-factor ESEM model demonstrated good fit for the combined and individual samples. Results from the multiple group ESEM provide evidence for generally strong invariance, with equivalent factor loadings and thresholds. Adolescents exhibited decreased latent interpersonal traits but increased latent features on other PCL factors (affective, lifestyle, and antisocial) compared to adults. Findings suggest that the four-factor model and the measurement of psychopathic traits remain consistent across age groups. Implications of the findings within research and clinical contexts are discussed.

Background and Purpose: This study evaluates the Pittsburgh Sleep Quality Index (PSQI) in terms of factor structure and measurement invariance (MI). The sample included postmenopausal breast cancer (BC) survivors (n = 101) and matched healthy controls (n = 60). Methods: Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed on PSQI\'s seven component scores. MI was tested between groups and across time using Bayes factor (BF). Results: Two factors were identified: sleep efficiency and perceived sleep quality. MI is evidenced between groups (BF < 0.007) and over time (BF > 150). Conclusions: PSQI scores with two subscales are comparable between postmenopausal BC survivors and controls over a 1-year period, providing some validation of PSQI for researching sleep quality in this population.

Many studies have found that conservatives show an advantage in mental health and happiness and various causes of this have been debated (e.g., religiousness, ideology, or genetics). However, not much attention has been given to examining whether this advantage is psychometrically real, or whether it is due to test bias. We analyzed data from two large Finnish surveys of adults (Ns = 848 and 4,978) from Lahtinen (2024), that measured general anxiety and depression symptoms, as well as a new wokeness scale. Using differential item functioning tests, we found no evidence for measurement bias in these scales. The correlation between index scores of wokeness and mental health (internalizing) was -0.36, which increased to -0.41 when measurement error was removed. The association between wokeness and anxiety (r = -0.33, adjusted r = 0.37) was stronger than wokeness and depression (r = 0.20, adjusted r = 0.22).

Understanding developmental trajectories and gender differences in depressive symptoms is clinically relevant. Discerning true differences across gender, age groups, and time is based on the often-neglected premise of measurement invariance (MI) of child and adolescent depression scales. In this systematic review, we assessed available evidence for MI across gender, age groups, and time for depression scales validated in children and adolescents, in studies with at least one assessment under age 18. A literature search using Medline, PsychInfo, Scopus, Web of Science, and Google Scholar databases identified 42 studies that examined MI. MI of eleven scales was tested in 1-9 studies per scale. Conclusions are hampered by different factor solutions tested within some scales. All included questionnaires showed preliminary evidence for MI across gender. Across some studies, crying had higher factor loadings in females compared to males, indicating that crying may be differently related to depression across gender. MI evidence was preliminary in just four scales across time, mostly confined to ages 13-17. One study showed developmental conclusions differed when non-invariance is not accounted for in observed scores. Overall, evidence for MI in child and adolescent depression scales is currently limited.

Psychometricians have argued that measurement invariance (MI) testing is needed to know if the same psychological constructs are measured in different groups. Data from five experiments allowed that position to be tested. In the first, participants answered questionnaires on belief in free will and either the meaning of life or the meaning of a nonsense concept called \"gavagai.\" Since the meaning of life and the meaning of gavagai conceptually differ, MI should have been violated when groups were treated like their measurements were identical. MI was severely violated, indicating the questionnaires were interpreted differently. In the second and third experiments, participants were randomized to watch treatment videos explaining figural matrices rules or task-irrelevant control videos. Participants then took intelligence and figural matrices tests. The intervention worked and the experimental group had an additional influence on figural matrix performance in the form of knowing matrix rules, so their performance on the matrices tests violated MI and was anomalously high for their intelligence levels. In both experiments, MI was severely violated. In the fourth and fifth experiments, individuals were exposed to growth mindset interventions that a twin study revealed changed the amount of genetic variance in the target mindset measure without affecting other variables. When comparing treatment and control groups, MI was attainable before but not after treatment. Moreover, the control group showed longitudinal invariance, but the same was untrue for the treatment group. MI testing is likely able to show if the same things are measured in different groups.