The study proceeded in two phases. Sixteen experts from six Francophone countries—Belgium, Cameroon, Canada, France, Senegal and Switzerland—were invited to a Delphi process based on a 33-item French-language adaptation of the original tool. Thirteen panellists responded in Round 1, an 81% response rate, and 12 responded in Round 2, a 92% response rate. Three consensus rounds examined cross-context comprehension of the French wording, the necessity of each item and its direct observability in a recorded obstetric simulation. An item was considered absolutely necessary when at least 50% of respondents selected that option, while direct observability required at least 60% agreement among the 12 Round 2 respondents.

Nine of the 33 items were reworded during the phrasing round, and none were deleted. The necessity round excluded 15 items, merged three into one leadership item and retained 15 unchanged, producing a 16-item grid across the original tool’s five sections. All items met the direct-observability threshold except the Two-Challenge Rule, which was retained by a documented coordination-team decision. The investigators therefore described the saT-TPOT as a consensus-based Francophone obstetric adaptation whose items were filtered for direct observability in simulation.

In the preliminary evaluation, seven simulation experts independently rated recordings of two postpartum-haemorrhage simulations. They were blinded to instructors’ classifications of the recordings as below expectations or at or above expectations. Ratings used a five-point scale ranging from 1, “far below,” to 5, “far above” expectations, with 0 indicating that an item was not applicable. Rating distributions differed between the two recordings for 11 of the 16 items, in the expected direction for 10, while five items had identical distributions. These findings provide preliminary evidence of discriminant capacity, but the abstract states that the study established content validity only; formal inter-rater reliability estimation and convergent validity against an established obstetric instrument remain necessary next steps.

Subject of Research: Development and preliminary evaluation of a Francophone obstetric simulation team-performance observation tool

Article Title: Obstetric, Francophone adaptation of the TeamSTEPPS team performance observation tool for simulation (saT-TPOT): a Delphi consensus study with a preliminary rater-based evaluation

Article References: Desseauve, D., Daelemans, C., Farin, A., & Ceccaldi, P.-F. (2026). Obstetric, Francophone adaptation of the TeamSTEPPS team performance observation tool for simulation (saT-TPOT): a Delphi consensus study with a preliminary rater-based evaluation. BMC Medical Education. https://doi.org/10.1186/s12909-026-10466-6

Image Credits: AI Generated

DOI: 10.1186/s12909-026-10466-6

Keywords: Francophone obstetric simulation, TeamSTEPPS, saT-TPOT, Delphi consensus, content validity, discriminant capacity, inter-rater reliability, postpartum haemorrhage, simulation assessment, Obstetric, Francophone, adaptation

The cross-sectional survey was conducted from February to March 2026. Participants included 358 boys, or 55.9% of the sample, and 282 girls, or 44.1%. Researchers translated and culturally adapted the scale through translation, back-translation, expert review and content-validity evaluation. The abstract reports analyses of item discrimination, exploratory and confirmatory factor structures, measurement invariance across gender, reliability, convergent validity and criterion-related validity with academic engagement and academic burnout.

The Chinese scale had good item discrimination and satisfactory content validity. Exploratory factor analysis indicated a five-factor pattern, with some overlap between the quality instruction and postgraduation programming dimensions. However, confirmatory factor analysis showed that the original 18-item, six-factor model fitted the data better than the alternative five-factor model. The six-factor structure demonstrated configural, metric and scalar invariance across gender, indicating that its measurement properties were consistent between boys and girls in this sample.

The total scale had excellent internal consistency, with a Cronbach’s alpha of 0.964. The six subscales had Cronbach’s alpha values from 0.878 to 0.959, split-half reliability values from 0.826 to 0.867 and composite reliability values from 0.887 to 0.960. Average variance extracted for the subscales ranged from 0.724 to 0.889, supporting the reported convergent validity. Decent Education Scale scores were positively associated with academic engagement and negatively associated with academic burnout; these cross-sectional associations do not establish causal relationships. The findings are bounded by the sample’s location in three Zhejiang schools, its cross-sectional design and the specific students surveyed. The authors concluded that the Chinese version may support future research on perceived educational experiences, school adjustment and mental health, but those wider uses were not evaluated in the reported study.

Subject of Research: Psychometric validation of a Chinese adolescent version of the Decent Education Scale

Article Title: Validation of the Chinese version of the decent education scale in a school-based sample of Chinese adolescents

Article References: Xue, B., Wang, L., Zhu, S., Zheng, J., Li, X., & Luo, H. (2026). Validation of the Chinese version of the decent education scale in a school-based sample of Chinese adolescents. BMC Psychology. https://doi.org/10.1186/s40359-026-05655-3

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05655-3

Keywords: Chinese adolescents, Decent Education Scale, psychometric validation, school-based survey, factor analysis, measurement invariance, reliability, convergent validity, academic engagement, academic burnout, Validation, Chinese

The research team, led by Theophilus Ehidiamen Oamen of Obafemi Awolowo University together with colleagues at the University of Benin and the University of Ibadan, recruited 688 undergraduate pharmacy students across the three public universities. The sample was nearly gender balanced, comprising 354 males and 334 females with a mean age of 22.33 years and a standard deviation of 3.31 years. Participants completed an online cross-sectional survey containing the Smartphone Addiction Scale Short Version and the Bergen Social Media Addiction Scale, a well-established six-item measure of problematic social media use built around components of addiction such as salience, tolerance, mood modification, and conflict.

What makes this investigation stand out is its methodological design. Rather than fitting a single model and declaring victory, the researchers split their dataset into two equal halves of 344 participants each. The first half was subjected to exploratory factor analysis, a data-driven technique that lets the underlying structure of the items emerge without preconceptions. The second half was reserved for confirmatory factor analysis, which tests whether theoretically specified models reproduce the observed patterns of responses. This split-sample strategy guards against the common pitfall of overfitting, in which a model looks impressive on the same data used to build it but fails on fresh observations.

The team then pitted four competing structural architectures against one another. The simplest was a general one-factor model, which assumes all ten items tap a single latent trait of smartphone addiction. The correlated-factors model instead treats the scale’s subdomains as distinct but related dimensions. The second-order model proposes that several first-order factors converge on a higher-order general factor. Finally, the bifactor model, the most statistically demanding of the four, allows every item to load simultaneously on a general factor and on its own specific subdomain factor, thereby quantifying how much of the scale’s signal is genuinely global.

The bifactor model emerged as the clear winner on fit statistics. It achieved a chi-square to degrees-of-freedom ratio of 3.67, a comparative fit index of 0.949, a Tucker-Lewis index of 0.911, and a standardized root mean residual of 0.043, all indicating strong model-data correspondence. The root mean square error of approximation was elevated at 0.088 with a ninety percent confidence interval spanning 0.070 to 0.108, a caveat the authors acknowledge, but the overall pattern of indices favored the bifactor solution over its rivals.

Fit indices alone, however, can be misleading in bifactor modeling, which is why the researchers computed a battery of ancillary indices that scrutinize whether the general factor is substantive enough to justify a total score. The explained common variance reached 0.697, meaning nearly seventy percent of the reliable common variance among the items was attributable to the general factor. Hierarchical omega stood at 0.752, indicating that the general factor alone accounts for a substantial share of total score reliability. Construct replicability was 0.862, comfortably above the threshold conventionally associated with a well-defined latent variable, and factor determinacy reached 0.891, signifying that the general factor can be predicted with high fidelity from observed item scores. Together these indices strongly support the predominance of a single general smartphone addiction factor.

Equally important for real-world application is the question of measurement invariance: does the scale function identically across different groups? If not, apparent gender or institutional differences in scores might reflect measurement artifacts rather than genuine behavioral disparities. The study tested configural, metric, and scalar invariance across gender and across the three universities. Configural invariance confirms the same factor structure holds in each group, metric invariance establishes that items relate to the latent construct with equivalent strength, and scalar invariance ensures that individuals with identical levels of the underlying trait receive identical observed scores regardless of group membership. The Smartphone Addiction Scale Short Version passed all three levels in both comparisons, meaning researchers can meaningfully compare total scores between men and women and across the participating institutions.

The scale also demonstrated strong convergent validity, the degree to which it correlates with a theoretically related measure as expected. Scores correlated at 0.781 with the Bergen Social Media Addiction Scale, with a p-value below 0.001 and a ninety-five percent confidence interval from 0.743 to 0.813. This large association makes conceptual sense, since smartphone use and social media use are deeply intertwined behaviors, and it aligns the Nigerian findings with an international literature linking problematic smartphone use to problematic social media engagement. For a scale whose construct validity has been debated across sociocultural contexts, such convergence in a West African student population is a meaningful endorsement.

The practical upshot is that although the bifactor solution reveals multidimensional subthemes within the instrument, these specific factors are not strong enough to warrant separate interpretation or subscore use. The authors conclude that the scale functions primarily as a robust unidimensional measure in this population, and that researchers and clinicians can confidently rely on the total composite score to assess problematic smartphone use, provided they remain aware of the underlying subscale variance that the bifactor decomposition exposed. This recommendation carries weight for screening programs, epidemiological surveys, and intervention studies that depend on a single interpretable index of smartphone-related risk.

Beyond its immediate psychometric contribution, the study speaks to a broader scientific concern: behavioral addiction measures developed in one cultural context do not automatically transfer to others. By combining split-sample validation, competing-model comparison, bifactor diagnostics, invariance testing, and convergent validation in a single design, the researchers have produced a template for how scale evaluation should proceed in underrepresented populations. As smartphone penetration accelerates across Africa and young professionals in health disciplines face distinctive pressures of connectivity and study demands, having measurement tools whose structure, comparability, and validity have been verified locally becomes not a statistical nicety but a prerequisite for sound research and effective clinical practice.

Subject of Research: Psychometric validation of the Smartphone Addiction Scale Short Version among Nigerian pharmacy students

Article Title: Dimensionality and measurement invariance of the smartphone addiction scale among pharmacy students using general, correlated, second-order, and bifactor models; association with the bergen social media addiction scale: a multi-university study

Article References: OAMEN, T. E., Jegede, A. O., Idiake, J. O., & Irenitemi, E. O. (2026). Dimensionality and measurement invariance of the smartphone addiction scale among pharmacy students using general, correlated, second-order, and bifactor models; association with the bergen social media addiction scale: a multi-university study. BMC Psychology. https://doi.org/10.1186/s40359-026-05809-3

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05809-3

Keywords: smartphone addiction, psychometrics, bifactor model, measurement invariance, confirmatory factor analysis, Bergen Social Media Addiction Scale, pharmacy students, Nigeria, scale validation, problematic smartphone use, convergent validity, BMC Psychology

The conceptual heart of IDBEL is a decades-old idea from educational psychology: the affective domain. Drawing on the classic taxonomy of Krathwohl, Bloom, and Masia, the researchers treat digital citizenship attitudes as a process of progressive value internalisation with five levels. Receiving captures a student’s initial awareness and acceptance of digital norms. Responding reflects active engagement with those norms. Valuing indicates genuine appreciation of responsible digital behaviour. Organization describes the integration of digital values into a coherent personal value system, and characterization represents consistent, value-driven conduct online. Each of the five dimensions was translated into five Likert-scale statements, producing a 25-item questionnaire delivered entirely through a digital application, so that the mode of assessment mirrors the digital construct being measured.

The technical groundwork began before any student saw the instrument. Five experts in educational assessment, language, civic education, and information technology rated the relevance of each of the 25 initial items on a five-point scale, and the researchers quantified agreement using Aiken’s V, a content-validity coefficient. The scores ranged from 0.70 to 0.95, with a mean of 0.83, and the team applied an operational threshold of 0.80. Twenty items cleared the bar; five, specifically Items 3, 5, 10, 13, and 20, fell short and were revised in response to expert feedback. Notably, the researchers acknowledge that the revised versions were never re-rated, so the content-validity evidence describes the initial drafts rather than a guarantee that every final item meets the criterion. That kind of candour is rare in instrument-development papers and sets the tone for the entire study.

Data collection ran from October 2025 to February 2026 through the IDBEL application, drawing Grade X and XI students from seven public senior secondary schools in Banjarmasin, selected purposively to span urban and peri-urban contexts. Grade XII students were excluded because of final examinations. The final analytical matrix contained 661 students, with school contributions ranging from 34 to 142 participants. The descriptive results told a familiar story with an uncomfortable twist: students overwhelmingly reported positive digital citizenship attitudes, with combined high and very high responses ranging from 66.0 percent to 97.4 percent across items. One item, Item 12, drew a maximum-category endorsement from 61.4 percent of respondents, while another, Item 23, drew only 14.5 percent. That spread matters, because when responses pile up at the top of a scale, the instrument loses its ability to distinguish between students who are good and students who are exceptional.

Before any structural modelling, the team tested whether the data were even suitable for factor analysis, and the answer was emphatically yes. The Kaiser-Meyer-Olkin measure of sampling adequacy reached 0.963, a value considered excellent, and item-level adequacy statistics ranged from 0.930 to 0.980. Bartlett’s test of sphericity was overwhelmingly significant, χ²(300) = 9,751.236, p < 0.001, confirming that the correlation matrix contained enough shared variance to justify extracting factors. In plain terms, the items were related to one another in exactly the way a coherent attitude construct should be. The question then became whether the relationships followed the five-dimensional architecture the theorists had prescribed.

The answer, delivered through a prespecified second-order confirmatory factor analysis, was a qualified no. Standardized item loadings were respectable, ranging from 0.567 to 0.776, and the second-order loadings linking the five dimensions to the overarching attitude construct were extremely high, between 0.929 and 0.971. But the overall model fit fell short of accepted standards: the chi-square ratio of 5.567 was high, RMSEA came in at 0.083, just above the conventional 0.08 guideline, and the incremental fit indices CFI, TLI, and IFI all landed below 0.90, at 0.871, 0.857, and 0.872 respectively. Only SRMR, at 0.054, was comfortably within target. The researchers also flagged a methodological caveat: they used normal-theory maximum likelihood on Pearson correlations, which is suboptimal for ordinal items concentrated in upper response categories, and they call for an ordinal CFA using polychoric correlations and a weighted estimator in future work.

Perhaps the most intriguing technical finding concerns what those very high second-order loadings imply. Together with a McDonald’s omega hierarchical of 0.940, they suggest that a single dominant general factor accounts for most of the reliable variance in scores. In other words, the five affective dimensions may be so conceptually intertwined, progressive stages of the same internalisation process, that they cannot yet be interpreted as distinct subscales. Modification diagnostics reinforced this concern, identifying strong local dependencies between Items 1 and 2 and between Items 23 and 24, with additional cross-dimensional overlap for pairs such as Items 4 and 8 and Items 15 and 25. Crucially, the team refused the temptation to patch the model post hoc by correlating error terms or deleting items, arguing that such changes require content justification and independent-sample cross-validation.

Reliability, by contrast, was stellar. Cronbach’s alpha reached 0.953 for the total scale, McDonald’s omega total was 0.958, and corrected item-total correlations ranged from 0.489 to 0.727, with no single item’s removal materially improving consistency. Domain-level alpha coefficients ranged from 0.792 to 0.854 and composite reliability from 0.806 to 0.854, all comfortably above the 0.70 threshold. Yet the convergent validity picture was murkier. Average variance extracted, a measure of how much variance a latent dimension explains in its own indicators, ranged from 0.456 to 0.540 and crossed the conventional 0.50 criterion only for the Organization dimension, with Characterization sitting essentially at the threshold. The lesson the authors draw is an important one for anyone who reads assessment research: very high internal consistency does not by itself establish that an instrument measures what it claims, and it may partly reflect item similarity and response concentration rather than construct strength.

So where does IDBEL stand? The researchers position it deliberately as initial psychometric evidence, not a finished, validated scale. The study’s limitations are laid out with unusual precision: the sample covers one Indonesian city and excludes vocational schools and Grade XII students; the data are entirely self-reported and vulnerable to social desirability bias, since digital citizenship items describe morally desirable behaviour; and the validity argument remains incomplete, lacking evidence on relations to external variables, measurement invariance, test-retest reliability, and the consequences of test use. Future refinements they propose include scenario-based items presenting realistic digital dilemmas, carefully constructed reverse-coded items to counter acquiescence, and Item Response Theory or Rasch analysis to map item difficulty and discrimination, particularly at the upper end of the attitude continuum where current items blur together.

For educators, the practical message is twofold. First, digital citizenship can indeed be measured as an affective construct, not merely as technical skill, and a digital platform is a natural home for such assessment in civic education classrooms. Second, caution is warranted: IDBEL is suitable as a formative, low-stakes tool and a foundation for further development, but it should be paired with teacher observations, student reflections, and scenario-based tasks rather than used for high-stakes judgements. In an era when schools everywhere are being asked to certify not just what students know but who they are online, this study offers both a promising template and a sobering reminder that building a trustworthy measure of character is harder, and more honest, work than it looks.

Subject of Research: Psychometric validation of a digital instrument assessing students' digital citizenship attitudes

Article Title: Initial psychometric evidence of an innovative digital-based learning evaluation instrument for assessing students’ digital citizenship attitudes

Article References: Adawiah, R., Ruchliyadi, D. A., & Nugroho, D. A. (2026). Initial psychometric evidence of an innovative digital-based learning evaluation instrument for assessing students’ digital citizenship attitudes. Discover Education, 5(1), Article 997. https://doi.org/10.1007/s44217-026-02201-6

Image Credits: AI Generated

DOI: 10.1007/s44217-026-02201-6

Keywords: digital citizenship, psychometrics, affective assessment, instrument validation, confirmatory factor analysis, digital assessment, civic education, reliability, convergent validity, Likert scale, Indonesia, educational measurement

Spinocerebellar ataxias are caused by toxic expansions of CAG repeats in the DNA, a molecular stutter that produces abnormally long stretches of the amino acid glutamine in disease proteins. Larger expansions typically trigger earlier and more severe disease, but even among carriers of the same mutation, the clinical picture varies enormously. What unites all subtypes is progressive ataxia, the loss of coordination that makes walking, speaking, and fine hand movements increasingly difficult. Yet the disease does not stop at the motor system. Many patients develop cognitive changes, mood disturbances, and difficulties with everyday tasks that no single clinician-rated scale fully captures. With no disease-modifying treatments currently available but nucleotide-based gene silencing therapies now advancing through development pipelines, the race is on to find outcome measures that can detect meaningful change within the compressed timeframe of a clinical trial.

The instrument of choice for decades has been the Scale for the Assessment and Rating of Ataxia, or SARA, a bedside examination in which a neurologist scores gait, stance, sitting, speech, and limb coordination on a scale from 0 to 40. It is quick, well validated, and widely used, but it has blind spots. It reflects only what the clinician observes during a brief examination, ignores non-ataxia symptoms entirely, and some of its items may have questionable relevance to patients’ daily lives. The PROM-Ataxia was developed to fill this gap through a multi-phase process that actively involved ataxia patients themselves. It spans three domains, physical, activities of daily living, and mental health, with each of its 70 items rated on a five-point scale, yielding a total score from 0 to 280 points. A condensed 10-item short form also exists for settings where brevity matters.

The Dutch team, led by Kristofoor Leeuwenberg and senior authors Roderick Maas and Bart van de Warrenburg, pooled data from three single-center observational cohorts at Radboud University Medical Center. The 76 mutation carriers, 20 with SCA1, 40 with SCA3, and 16 with SCA7, spanned all four stages of disease severity defined by Klockgether and colleagues, from people with no walking difficulties to those confined to a wheelchair. Seventeen of the participants were classified as pre-ataxic, meaning their SARA score was below 3 despite carrying the mutation. Sixteen healthy adults served as controls, and 68 of the carriers returned for a one-year follow-up visit. Alongside the PROM-Ataxia, participants completed or underwent eight additional assessments, including the SARA, the Inventory of Non-Ataxia Signs, the SCA Functional Index, the Cerebellar Cognitive Affective Syndrome Scale, depression and quality-of-life questionnaires, and the activities of daily living subscale of the Friedreich Ataxia Rating Scale.

The first major finding concerned convergent validity, the degree to which scores on the new instrument track scores on established measures of the same underlying construct. The results were striking. The PROM-Ataxia total score correlated moderately to strongly with all eight comparison measures, with Spearman correlation coefficients ranging from 0.46 to 0.89, all statistically significant. The strongest associations appeared with the SARA, the functional subscale of the Unified Huntington’s Disease Rating Scale, and the Friedreich Ataxia Rating Scale daily living subscore, coefficients between 0.84 and 0.89, indicating that the questionnaire rises in lockstep with worsening clinical ataxia and growing disability as judged by both clinicians and patients. Equally telling was the pattern among the domains: the psychosocial section of the mental domain correlated strongly with the depression questionnaire PHQ-9 at 0.71, confirming that each domain captures a distinct facet of the disease rather than a single undifferentiated burden.

Perhaps the most clinically consequential result emerged from the comparison between pre-ataxic carriers and healthy controls. Even before any measurable gait ataxia appeared, the questionnaire distinguished the two groups clearly. Total scores averaged 34.1 points in pre-ataxic carriers versus just 10.4 in controls, a highly significant difference, and the physical domain, activities of daily living domain, cognitive section of the mental domain, and short form all showed significant separations as well. Only the psychosocial section of the mental domain failed to reach statistical significance. This matters because earlier studies using generic patient-reported measures of quality of life, depression, and sleep quality have repeatedly struggled to detect differences between pre-ataxic individuals and healthy people. The PROM-Ataxia, by contrast, appears sensitive enough to register the subtle, pre-clinical burden that mutation carriers already experience, a property that could prove invaluable in prevention trials aimed at people who are still years away from overt symptoms.

The longitudinal picture was more complicated. Over one year, the average PROM-Ataxia total score rose by 3.9 points, a statistically significant increase consistent with the degenerative course of the disease, and the activities of daily living domain rose by 1.7 points. But the variability between individuals was enormous, with a standard deviation of 22.0 points for the total score change. This heterogeneity dragged down the standardized response mean, a measure of responsiveness calculated as the mean change divided by the standard deviation of that change, to just 0.17, far below the values of 0.82 for the SARA and 0.47 for the daily living scale. Notably, the variability was consistent across all disease stages and unrelated to baseline severity, age, sex, or subtype. It was not entirely random, however: in the SCA3 cohort, patients’ self-rated global impression of change in quality of life emerged as a significant predictor of questionnaire change, suggesting that fluctuations in subjective well-being, rather than disease progression alone, partly drive the scatter.

An illustrative case from the study captures this tension. The largest outlier in the cohort improved by 60 points on the questionnaire after adopting a new balance-focused physical therapy regimen, even though the objective SARA score worsened by a single point over the same period. The questionnaire, in other words, registers more than cerebellar degeneration; it registers the lived experience of the disease, including the benefits of rehabilitation, adaptation, and life circumstances. For a researcher designing a drug trial with one or two years of follow-up, that sensitivity to external influences is a double-edged sword. It makes the instrument richly informative about what matters to patients, but it also inflates the noise against which a treatment effect must be detected, potentially requiring larger sample sizes in a field where patient populations are inherently small.

To help interpret individual scores, the team estimated the minimal clinically important difference, the smallest change a patient would consider meaningful, using two complementary approaches. In the anchor-based method, participants in the SCA3 cohort rated their perceived change over the past year on seven-point scales tailored to gait, daily activities, mental health, cognition, and quality of life, and these ratings were linked to corresponding questionnaire domains. The anchor-based estimate for the total score came out at 9.8 to 12.7 points per year, with domain-specific values of 3.8 points for the physical domain, 3.2 for daily living, 1.8 to 2.9 for psychosocial symptoms, 1.8 for cognition, and 1.6 to 3.7 for the short form. A distribution-based method, defined as half the standard deviation of change, produced closely matching values, and the estimates aligned well with those recently reported by an American research group studying a mixed polyglutamine ataxia cohort, lending the numbers considerable robustness.

The study’s authors are candid about its limitations: some outcome measures were missing in certain cohorts because the three protocols were not identical, the anchor-based analysis was confined to the SCA3 subgroup, and the findings cover only three of the many known SCA subtypes. Even so, the overall message for the field is clear. The PROM-Ataxia is a valid, patient-centered companion to the SARA rather than a replacement for it, capable of revealing disease burden even in the pre-ataxic stage where other patient-reported measures fall silent. The authors recommend that its results be interpreted alongside objective clinical assessments, the patient’s global impression of change, and systematic documentation of contextual factors that shape well-being. As gene-silencing therapies edge closer to the clinic, tools that measure what patients actually feel, not just what neurologists observe, may become the difference between a trial that succeeds and one that misses the benefit it was designed to find.

Subject of Research: Validation of the PROM-Ataxia patient-reported outcome measure in spinocerebellar ataxia

Article Title: Convergent validity, responsiveness, and meaningful within-subject change of the PROM-Ataxia in spinocerebellar ataxias

Article References: Leeuwenberg, K. E., van Prooije, T. H., Reniers, C., Kapteijns, K. C. J., Maas, R. P. P. W. M., & van de Warrenburg, B. P. (2026). Convergent validity, responsiveness, and meaningful within-subject change of the PROM-Ataxia in spinocerebellar ataxias. Journal of Neurology, 273(10), Article 583. https://doi.org/10.1007/s00415-026-14108-1

Image Credits: AI Generated

DOI: 10.1007/s00415-026-14108-1

Keywords: spinocerebellar ataxia, PROM-Ataxia, patient-reported outcomes, SARA, minimal clinically important difference, convergent validity, responsiveness, pre-ataxic, clinical trials, cerebellar degeneration, gene silencing, trial readiness

The SATA scale was originally developed by Flood, Bulgrin, and Morgan in 2013 as a tool to capture public perceptions of autism spectrum disorder (ASD), a prevalent neurodevelopmental condition characterized by differences in social communication and restricted or repetitive patterns of behavior and interest. Unlike instruments aimed at clinicians or teachers, the SATA was designed to probe the attitudes of ordinary members of society, making it uniquely suited to studying the stigma that surrounds autism in everyday life. Stigma is not a cosmetic problem. Decades of research, including work summarized in the grand challenges of global mental health published in Nature, have documented that social stigma attached to mental and neurodevelopmental conditions delays diagnosis, discourages families from seeking services, and degrades the mental health of affected individuals and their caregivers.

For autistic people and their families, the consequences of negative societal attitudes are concrete and measurable. Systematic reviews have catalogued experiences of bullying, exclusion, concealment, and camouflaging among autistic adults, along with affiliate stigma, the internalized shame that family members absorb from their communities. In Iran specifically, prior studies have found gaps in public awareness of autism and documented stigma-related barriers within the mental health system itself. Yet measuring attitudes accurately requires more than goodwill; it requires an instrument that behaves statistically the same way in Persian as it does in the language and culture where it was born. That is precisely the problem the new study set out to solve.

The research team, led by Maryam Salamat with Parviz Fadakar Gabalou and Mohammad Rostami, conducted a cross-sectional psychometric study in which participants completed both the translated SATA scale and the Compassion Scale, a validated measure of compassion for others. The translation and adaptation followed established cross-cultural procedures, and content validity was evaluated using quantitative methods rooted in Lawshe’s classic approach to content validity assessment. Data were analyzed with SPSS 25 and R 4.3.3, combining classical statistical software with the modern open-source environment favored for structural equation modeling.

The centerpiece of the analysis was confirmatory factor analysis, a technique that tests whether the pattern of correlations among questionnaire items matches the structure predicted by theory. In the original English SATA, a defined set of items captures societal attitudes toward autism as a coherent construct. The Persian data told a slightly different story: three items, specifically items 5, 11, and 12, did not cohere with the rest and were removed. What remained was a 13-item Persian version whose confirmatory factor model demonstrated excellent fit to the data. In practical terms, excellent fit means the observed responses can be described by the hypothesized attitude structure without substantial residual mismatch, giving researchers confidence that the scale measures the same underlying construct in Iranian samples.

Reliability, the second pillar of psychometric soundness, was also confirmed. The researchers reported good internal consistency, meaning the items of the scale correlate with one another strongly enough that the total score provides a dependable summary of a respondent’s attitude. The team paid attention to modern methodological debates in reliability estimation, drawing on the literature arguing for omega coefficients over the traditional Cronbach’s alpha where appropriate, a detail that reflects the increasing statistical sophistication of cross-cultural validation studies. A scale that is unreliable cannot detect real differences between groups, no matter how elegant its theory, so this result is foundational for every future use of the Persian SATA.

Convergent validity was established through a positive correlation with the Compassion Scale. This is a theoretically meaningful link: compassion, defined as the sensitivity to suffering combined with the motivation to alleviate it, has been shown in prior research to relate to reduced negative outgroup attitudes. Studies of compassion-focused interventions and of compassion-based approaches to reducing mental illness stigma suggested that people higher in trait compassion should hold more accepting views of autistic people, and the positive association observed in the Iranian sample confirms that the SATA is capturing genuine attitude variance rather than statistical noise. The correlation also hints at a possible intervention pathway, since compassion can be cultivated through training.

The demographic findings are where the study becomes genuinely striking for a general audience. Women reported significantly more positive attitudes toward autism than men. This pattern echoes a broad body of research on gender and empathy, including neuroscience reviews documenting reliable sex-related differences in empathic responding, as well as studies of gendered stereotypes showing that socialization into caregiving norms shapes how people respond to vulnerability. Meanwhile, attitudes also varied systematically by the level of contact participants had with autistic individuals. This result is a direct real-world confirmation of the contact hypothesis, the intergroup theory first articulated by Gordon Allport in 1954 and confirmed in a landmark meta-analysis by Pettigrew and Tropp: under appropriate conditions, direct contact with members of a stigmatized group reduces prejudice.

The implications for Iran and for other low- and middle-income countries are substantial. Autism prevalence estimates worldwide have risen with broadened diagnostic criteria and improved recognition, and the World Health Organization now emphasizes autism as a global public health priority. Yet diagnostic and support infrastructure lags far behind in many regions, and stigma compounds the shortfall by deterring families from early screening and intervention. Iranian studies have documented late diagnoses, limited public knowledge, and caregiver stigma, including among parents who report reduced quality of life linked to affiliate stigma. A validated Persian SATA gives Iranian researchers, universities, and health planners a dependable yardstick for the first time to measure where attitudes stand, to identify which populations hold the most stigmatizing views, and to evaluate whether campaigns and curricula actually change minds.

The authors’ conclusion points squarely at targeted educational and experiential interventions, and the international evidence supports that direction. Online training programs for college students have been shown to increase knowledge of autism and decrease stigma, and brief educational interventions have improved children’s behavioral intentions toward autistic peers. Because the new study found that both gender and contact predict attitudes, the most efficient programs may combine factual education with structured opportunities for meaningful interaction with autistic people, rather than relying on information alone. University campuses, where future teachers, nurses, psychologists, and engineers form their lifelong social attitudes, are an ideal setting for such work. With a psychometrically sound 13-item Persian SATA now available, Iranian institutions can finally measure their progress with confidence, and researchers across the Persian-speaking world gain a tool whose statistical credentials have been tested against the demanding standards of modern confirmatory factor analysis.

Subject of Research: Validation of the Persian Societal Attitudes Towards Autism scale and its associations with gender, contact, and compassion among Iranian university students

Article Title: Properties of the Persian Version of the Societal Attitudes Towards Autism (SATA) Scale Among Iranian University Students

Article References: Salamat, M., Gabalou, P. F., & Rostami, M. (2026). Properties of the Persian Version of the Societal Attitudes Towards Autism (SATA) Scale Among Iranian University Students. Journal of Autism and Developmental Disorders. https://doi.org/10.1007/s10803-026-07473-3

Image Credits: AI Generated

DOI: 10.1007/s10803-026-07473-3

Keywords: autism spectrum disorder, SATA scale, psychometric validation, social stigma, Iranian university students, confirmatory factor analysis, compassion, gender differences, intergroup contact, cross-cultural adaptation, internal consistency, convergent validity

The tool, known as the CNC3 Caregiver Report Questionnaire or CNC3-CRQ, was developed by the Clinical Neuropsychology Collaborative for Childhood Cancers, a multi-institutional group of board-certified neuropsychologists working at leading pediatric cancer centers across North America. Their goal was deceptively simple: to give survivorship clinics a standardized, caregiver-driven screening instrument that could flag children who should be referred for formal neuropsychological services. In the new study, researchers led by Rachel S. Werk of Ann and Robert H. Lurie Children’s Hospital of Chicago and Northwestern University Feinberg School of Medicine put the questionnaire to the test in a real-world clinical setting, comparing its results directly against the referral recommendations made by the survivorship providers who cared for the children.

The study enrolled 173 childhood cancer survivors seen at a pediatric oncology survivorship clinic, a population that reflected the typical composition of long-term follow-up programs. Roughly 41 percent of the participants had a history of hematologic malignancy, such as leukemia or lymphoma, while 20 percent had survived a central nervous system tumor, the group at highest known risk for cognitive impairment. Parents completed the CNC3-CRQ, answering items that probe multiple neurocognitive domains, and the questionnaire generated both a cumulative screening result and domain-specific scores. Positive scores on the instrument were designed to indicate a need for referral to neuropsychology. Independently, and without knowledge of the questionnaire results, each child’s survivorship provider made a clinical recommendation about whether neuropsychological referral was warranted, creating a natural head-to-head comparison between structured screening and clinical gestalt.

The headline finding was the sheer scale of need the questionnaire uncovered. The CNC3-CRQ recommended neuropsychological referral for 68.2 percent of the survivors screened, a figure that underscores just how common cognitive concerns are in this population and how much unmet demand may be hiding beneath the surface of routine follow-up care. Prior research has documented that even survivors treated with chemotherapy alone, without any radiation to the brain, can show measurable deficits in attention, executive function, and processing speed years after treatment ends. Systematic reviews and meta-analyses have linked these deficits to lower educational attainment, reduced employment, and financial hardship in adulthood, making early identification not merely a clinical nicety but a matter of lifelong equity and opportunity.

Statistically, the convergence between the questionnaire and the clinicians was compelling. Survivors whose providers recommended neuropsychological referral had dramatically higher odds of a positive cumulative screen on the CNC3-CRQ, with an odds ratio of 13.2 and a 95 percent confidence interval spanning 3.76 to 52.1, a result significant at p less than 0.001. In plain terms, when an experienced oncology provider felt a child needed neuropsychological evaluation, the parent questionnaire very often agreed. The relationship held across every neurocognitive domain the instrument measures: parental level of concern and the percentage of symptoms endorsed were significantly and positively associated with provider recommendations in each domain. This domain-by-domain agreement matters because neuropsychological referral decisions are rarely about a single global score; clinicians weigh specific patterns, such as whether a child struggles primarily with working memory, language, or behavioral regulation.

One of the study’s most revealing analyses examined what actually drove providers’ referral decisions. When the researchers asked providers to state their specific reasons for recommending neuropsychology, reported parent or caregiver concern emerged as a key factor, and it was significantly associated with a positive score in the questionnaire’s Executive Functions: Behavior domain, with an odds ratio of 2.45, a 95 percent confidence interval of 1.06 to 5.95, and p less than 0.05. This finding highlights a subtle but important truth about pediatric survivorship care: parents are often the first to notice that something has changed in their child’s ability to organize homework, control impulses, or navigate social situations. A well-designed caregiver-report instrument effectively formalizes and quantifies that parental radar, converting it into data that can trigger timely evaluation rather than waiting for problems to escalate.

The convergence observed in this study is what psychometricians call convergent validity, the degree to which a new instrument agrees with an established criterion. Here the criterion was the accumulated clinical judgment of oncology providers who specialize in the care of childhood cancer survivors, providers who see the late effects of therapy every day. Achieving an odds ratio above 13 for the cumulative screen suggests the questionnaire is not merely duplicating generic developmental checklists but is genuinely tuned to the neurocognitive signature of pediatric cancer treatment. The instrument’s lineage reflects this specificity: it builds on earlier work by Jin-Shei Lai and colleagues, who developed parent-report cognitive function item banks using item response theory and explored their utility in computerized adaptive testing, a modern psychometric approach that allows brief assessments to remain precise across a wide range of ability levels.

Why does a screening tool like this matter so much? Comprehensive neuropsychological assessment is the gold standard for characterizing cognitive late effects, but it is a scarce resource. Board-certified pediatric neuropsychologists are concentrated in major academic centers, and studies have documented demographic, medical, and neighborhood barriers that prevent many children, particularly those from underserved communities, from ever reaching these services. Professional guidelines, including the Children’s Oncology Group’s long-term follow-up guidelines and standards of care articulated in pediatric oncology literature, call for monitoring of neuropsychological outcomes, yet surveys show that delivery of psychosocial and cognitive screening remains inconsistent across institutions. A brief parent-report questionnaire requires no specialized equipment, no dedicated testing sessions, and no neuropsychologist to administer, which means it can be embedded into routine survivorship visits even at community-based clinics far from academic hubs.

The study’s authors are careful about what the tool is and is not. The CNC3-CRQ is a screening and decision-support instrument, not a diagnostic test; a positive screen signals the need for comprehensive evaluation, it does not itself establish impairment. And because the comparison criterion was provider recommendation rather than formal neuropsychological testing, the study cannot yet say how the questionnaire performs against full assessment batteries. The researchers also note that the tool may be particularly valuable for providers with less experience identifying neurocognitive late effects, which is precisely the gap that exists in many treatment centers. In this sense, the questionnaire functions less as a replacement for clinical expertise and more as a democratizing force, packaging the pattern-recognition of specialist centers into a form any survivorship program can deploy.

The implications reach well beyond a single clinic. If validated in broader and more diverse populations, caregiver-report screening could become a standard element of long-term follow-up, ensuring that children treated for leukemia in a community hospital receive the same cognitive surveillance as those treated at a comprehensive cancer center. It could also help standardize research, giving multi-site studies a common metric for identifying survivors at risk and measuring the benefits of cognitive rehabilitation interventions. For the families of the roughly 68 percent of survivors the questionnaire flagged in this cohort, the message is equally direct: the concerns they carry home from clinic visits are real, measurable, and now, increasingly, something the health system can act upon systematically. As survival rates for childhood cancer continue to climb past 85 percent, the frontier of pediatric oncology is shifting from curing the disease to protecting the decades of life that follow, and tools like the CNC3-CRQ represent an elegant, low-cost step in that direction.

Subject of Research: Validation of a caregiver-report neuropsychological screening tool for identifying childhood cancer survivors needing neuropsychology referral

Article Title: A comparison of a novel neuropsychological screening tool with provider recommendations among pediatric cancer survivors

Article References: Werk, R. S., Haldipurkar, S. K., Reichek, J. L., Waanders, A. J., Paek, S., Baptiste, S., Lai, J.-S., & Powell, S. K. (2026). A comparison of a novel neuropsychological screening tool with provider recommendations among pediatric cancer survivors. Journal of Cancer Survivorship. https://doi.org/10.1007/s11764-026-02136-9

Image Credits: AI Generated

DOI: 10.1007/s11764-026-02136-9

Keywords: childhood cancer survivors, neuropsychological screening, CNC3-CRQ, neurocognitive late effects, cancer survivorship, caregiver report, executive function, pediatric oncology, convergent validity, referral decision support, cognitive impairment, Journal of Cancer Survivorship

The original Self-Compassion Scale, developed by Kristin Neff, measures the tendency to treat oneself with kindness during moments of failure or suffering rather than with harsh criticism. It captures six facets: self-kindness, common humanity, and mindfulness on the positive side, and self-judgment, isolation, and over-identification on the negative side. Translating such an instrument is far more delicate than swapping words between languages. Emotional concepts do not map neatly across cultures, and a phrase that sounds natural in English can become stilted, ambiguous, or subtly different in meaning in Hindi. The research team therefore followed a structured adaptation process that combined forward and backward translation with expert review, checking not only whether the translated statements were accurate but whether they were appropriate and comprehensible in the Indian cultural context.

Content validity was assessed at the expert-review stage using formal content validity indices, and the panel’s ratings of the translated items showed satisfactory inter-rater reliability, meaning the experts broadly agreed that the Hindi statements preserved the intended meaning and read naturally. This step matters because a scale can be statistically elegant yet culturally tone-deaf; if respondents misread an item, every downstream statistic becomes unreliable. By documenting that qualified judges endorsed the appropriateness and clarity of each translated statement, the authors established that the SCS-H is not merely a linguistic conversion but a culturally grounded measurement device.

The heart of the study was its examination of the scale’s internal structure, tested on a large sample of 843 university students aged 18 to 26, with a mean age of 19.54 years. The sample included 138 males, 695 females, and 10 participants who did not disclose their gender. With data in hand, the researchers compared five competing models of how self-compassion is organized: a single-factor model treating self-compassion as one unified trait, a two-correlated-factor model, a six-correlated-factor model reflecting the original subscales, a single-bifactor model, and a correlated two-bifactor model. This kind of head-to-head model comparison is the modern gold standard in psychometrics, because the question of whether self-compassion is best understood as one general disposition or as a set of related but distinct facets has been contested in the literature for years.

Two analytical engines drove the model testing: confirmatory factor analysis, or CFA, and a newer technique called exploratory structural equation modelling, or ESEM. CFA forces each item to load only on its designated factor, which is a strict test but one that can penalize items that legitimately relate to more than one facet. ESEM relaxes that constraint, allowing items to show small secondary loadings across factors, which often reveals the true complexity of psychological data. The results were clear: the single-bifactor model and the six-correlated-factor models fit best, and the ESEM version of the six-factor structure was especially strong. In plain terms, the Hindi scale behaves like its English ancestor, with a general self-compassion dimension running through all items alongside meaningful six-facet differentiation, and ESEM proved particularly well suited to capturing that multidimensional texture.

Reliability testing added further confidence. The scale showed good test-retest reliability over a four-week interval, meaning that students who scored high at the first administration tended to score high again a month later. This temporal stability is essential for any instrument intended for longitudinal research, since a measure that fluctuates randomly cannot track genuine change in self-compassion over time, whether that change is produced by a mindfulness intervention, a therapy program, or the natural course of a semester. Combined with the structural findings, the stability results indicate that the SCS-H measures something durable in the people who complete it.

Validity evidence came from two directions. For convergent validity, the researchers predicted that self-compassion scores should correlate with established well-being indicators, and the data confirmed moderate to strong relationships with satisfaction with life, subjective happiness, self-esteem, and positive affect. People who reported being kinder to themselves in difficult moments also reported being happier and more satisfied, exactly the pattern theory predicts. For discriminant validity, the team examined constructs that self-compassion should not substantially overlap with, namely career adaptability and social desirability. The relations were insignificant, demonstrating that the SCS-H occupies its own specific measurement domain rather than acting as a vague proxy for general positivity or for the tendency to give socially flattering answers. Together, these convergent and discriminant findings sketch a measure that is both meaningfully connected to the well-being network and cleanly bounded within it.

The study was not without caveats, and the authors are candid about them. The Self-Judgment and Over-Identification subscales showed comparatively weak convergent validity, and the researchers explicitly advise that scores on these two subscales be interpreted with caution. This echoes a broader international debate about the negative facets of the Self-Compassion Scale, which some researchers argue may function differently from the positive facets and may not always behave as clean reverse-scored indicators. The recommendation matters for practitioners: while total and general scores from the SCS-H appear robust, anyone planning to use the negative subscales in isolation, for example as outcome measures in a self-criticism intervention, should do so with awareness of their weaker psychometric standing in this Hindi adaptation.

The practical significance of the work extends well beyond the laboratory. Hindi is spoken by hundreds of millions of people across India and the diaspora, and mental health research in Hindi-speaking populations has often relied on unvalidated translations or on instruments in English, a language many respondents do not command fluently. A validated Hindi scale opens the door to large-scale surveys of self-compassion in schools, universities, and workplaces, to evaluating mindfulness and compassion-based interventions in local languages, and to cross-cultural comparisons that can reveal whether self-compassion operates similarly across societies. The sample itself, drawn from university students, also suggests immediate applications in student mental health services, where screening and program evaluation demand instruments that respondents genuinely understand.

Methodologically, the study is a showcase of contemporary scale validation. By combining rigorous translation procedures with expert content validity indices, by testing five structural models rather than settling for the first adequate fit, by deploying ESEM alongside conventional CFA, and by gathering both convergent and discriminant validity evidence plus longitudinal reliability, Singh, Mohan, and Hasan have produced a template that other adaptation teams in India and beyond can follow. The SCS-H now stands as a psychometrically defensible instrument for assessing the effects of self-compassion on well-being among Hindi-speaking adults, and its open-access publication means researchers worldwide can examine the full evidence base. As interest in self-compassion continues to surge globally, this work ensures that Hindi speakers are no longer spectators to that science but full participants in it.

Subject of Research: Psychometric adaptation and validation of the Hindi version of the Self-Compassion Scale

Article Title: Adaptation and psychometric validation of the Hindi version of the self-compassion scale

Article References: Singh, P., Mohan, A., & Hasan, Z. (2026). Adaptation and psychometric validation of the Hindi version of the self-compassion scale. BMC Psychology. https://doi.org/10.1186/s40359-026-05689-7

Image Credits: AI Generated

DOI: 10.1186/s40359-026-05689-7

Keywords: self-compassion, psychometrics, Hindi scale adaptation, confirmatory factor analysis, exploratory structural equation modelling, bifactor model, convergent validity, discriminant validity, test-retest reliability, well-being, Indian university students, BMC Psychology

Mary Jo Hedrick of the Center of Excellence in Early Childhood Learning and Development at East Tennessee State University, together with Jessica Templeton, Andrei Sigunov, and Andrea D. Clements of the university’s Department of Psychology, has developed and preliminarily validated the Variability in Adverse Childhood Experiences Scale, or VACE. Rather than asking whether a person experienced a given adversity, the VACE asks how often. The instrument keeps the familiar ACE domains as its backbone, preserving compatibility with the original scoring scheme, but replaces each dichotomous item with a frequency-based rating. The result is a measure that can distinguish a single incident of household substance abuse from a chronic, years-long pattern of exposure—a distinction the original scale, by design, cannot make.

The rationale for the change rests on a substantial body of developmental science. Decades of work on stress neurobiology suggest that the duration, timing, and frequency of adversity matter enormously for how the developing brain and body respond. Chronic, unpredictable stress can alter the architecture of brain regions involved in emotion regulation and self-processing, dysregulate endocrine and cardiovascular reactivity, and sensitize stress-response systems in ways that a one-off event may not. Researchers such as McLaughlin and Sheridan have argued for dimensional approaches that move beyond cumulative risk counts, and a 2022 review of adversity measurement tools by Oh and colleagues documented how many existing instruments fail to capture intensity, frequency, or timing. Reviews of ACE measures and methods by Karatekin and colleagues have similarly highlighted the field’s overreliance on crude binary indicators.

The binary scoring approach carries other costs as well. A person who endured repeated, severe sexual abuse and a person who experienced one episode of parental separation can theoretically arrive at the same ACE score, yet their clinical needs and biological burdens may differ profoundly. Prior work by Dolson and colleagues, published as “Pocket ACE,” documented child sexual abuse survivors whose experiences were missed entirely by the standard ACEs Study Questionnaire, underscoring how much nuance the traditional instrument can lose. Scholars such as McLennan, MacMillan, and Afifi have openly questioned whether ACE questionnaires in their current form should be used at all for individual-level decision-making. The VACE authors position their scale not as a replacement but as a complement: a frequency-sensitive overlay on the established framework that clinicians and researchers already know how to interpret.

To evaluate the new measure, the research team recruited 370 participants drawn from undergraduate and community samples. Each participant completed the VACE along with the Childhood Trauma Questionnaire–Short Form, a widely used and well-validated retrospective measure of abuse and neglect, and standardized instruments assessing depressive symptoms, perceived stress, and substance use. A subset of participants completed the VACE a second time two weeks later, allowing the researchers to estimate short-term test–retest stability. The analytic plan was comprehensive for a preliminary validation study: internal consistency analysis, intraclass correlation for retest reliability, exploratory factor analysis to uncover the scale’s underlying structure, convergent validity correlations, and hierarchical regression models testing whether the VACE added predictive value beyond traditional binary ACE scoring.

The psychometric results were encouraging. Internal consistency, measured by Cronbach’s alpha, came in at 0.79, a level conventionally regarded as acceptable for a multidimensional self-report instrument. Test–retest reliability over the two-week interval, quantified with an intraclass correlation coefficient, was 0.66 with a 95 percent confidence interval of 0.40 to 0.84, which the authors characterize as good; confidence intervals that wide are not unusual for initial reliability estimates in modest subsamples, and the authors acknowledge that firmer stability estimates will require larger retest cohorts.

Perhaps the most conceptually interesting finding came from the exploratory factor analysis. Rather than collapsing into a single unidimensional index of adversity, the VACE items sorted into two correlated factors. The first, labeled Direct and Interpersonal Adversity, captures harms inflicted directly on the child, such as abuse and household maltreatment. The second, labeled Community and Contextual Adversity, reflects adversity embedded in the child’s broader environment, such as neighborhood disadvantage and community-level dysfunction. The two factors correlated at 0.56, indicating meaningful overlap but clearly separable dimensions. This two-factor structure echoes the ecological model of human development articulated by Bronfenbrenner and aligns with recent scoping reviews, including work by Krinner and colleagues, showing that childhood adversity is best understood as multidimensional rather than as a simple running total.

Convergent validity was strong. VACE scores correlated 0.76 with the Childhood Trauma Questionnaire–Short Form, a relationship robust enough to suggest the two instruments are tapping substantially the same underlying construct while leaving room for the VACE to capture additional variability that the CTQ-SF does not. But the study’s headline result concerns incremental predictive validity. In hierarchical regression analyses, the researchers entered traditional binary ACE scores first and then added VACE frequency scores to see whether the new measure explained any additional variance in downstream outcomes. It did. VACE frequency scores accounted for significant incremental variance in depressive symptoms (a change in R-squared of 0.042, p < .001), perceived stress (change in R-squared of 0.056, p < .001), and substance use (change in R-squared of 0.021, p = .004) beyond what binary ACE scoring alone provided.

Those incremental variance figures may look modest at first glance, but in psychological research they represent a meaningful gain. Roughly two to six percent of additional explained variance in outcomes as heterogeneous as depression, stress perception, and substance use—achieved purely by changing how exposure is quantified—suggests that frequency information carries real signal about the dose–response relationship between adversity and health. The finding is consistent with longitudinal work by Farooq and colleagues linking the duration and timing of ACE exposure to adolescent depression and self-harm, and with Schroeder and colleagues’ demonstration that the accumulation, timing, and duration of early adversity independently predict behavior problems. If frequency matters as much as these results imply, then measures that ignore it may systematically underestimate the burden carried by the most chronically exposed children.

The authors are careful to frame the VACE as preliminary. The sample of 370 undergraduates and community members is not representative of the full diversity of populations in which ACE measurement matters, and retrospective self-report introduces well-known recall limitations that no questionnaire can fully escape. Longitudinal validation—tracking frequency scores forward to predict health outcomes as they unfold—remains the critical next step, as does replication across more diverse racial, socioeconomic, and cultural groups. The authors also note that the data supporting the findings are not publicly available but can be requested from the corresponding author. Still, the initial evidence suggests the VACE occupies a useful middle ground in a contested field: it retains backward compatibility with the ACE scoring framework that two decades of research and clinical practice have been built upon, while adding the dimensional precision that critics of binary scoring have long demanded. For a field increasingly focused on tailoring prevention and intervention to the actual texture of childhood adversity rather than its mere presence, a measure that can say how often—not just whether—may prove to be a valuable new instrument in the toolkit.

Subject of Research: Development and preliminary psychometric validation of the frequency-based Variability in Adverse Childhood Experiences Scale (VACE)

Article Title: Item Development and Preliminary Validation of the Variability in Adverse Childhood Experiences Scale (VACE)

Article References: Hedrick, M. J., Templeton, J., Sigunov, A., & Clements, A. D. (2026). Item Development and Preliminary Validation of the Variability in Adverse Childhood Experiences Scale (VACE). Journal of Child &amp; Adolescent Trauma. https://doi.org/10.1007/s40653-026-00978-0

Image Credits: AI Generated

DOI: 10.1007/s40653-026-00978-0

Keywords: adverse childhood experiences, ACE scale, childhood adversity, psychometrics, scale development, trauma, frequency-based measurement, depression, perceived stress, substance use, convergent validity, factor analysis