Bryn Harris

Academic screener tools are commonly used within the context of multitiered systems of support, and it is expected that they have a high standard of technical adequacy, including reliability and validity evidence. In United States school systems, there are large numbers of students who speak languages other than English with varying levels of proficiency, and it is imperative that well‐developed academic screening tools be accessible to active bilingual users/users of English (ABLE) in languages beyond English. This review evaluated the translation process, norming data, and National Center on Intensive Interventions (NCII) standards of academic screening tools that were available in the fall 2023 in early literacy, reading, and math in languages other than English. Information was coded using a rigorous, double‐coding process. Findings revealed that academic screening tools for ABLE students are available only in English and Spanish. Very few academic screeners met development criteria for translated measures or met convincing evidence standards established by the NCII. Academic screening conducted in languages other than English is severely constrained by limited availability of high‐quality measures. Additional effort should be devoted to developing new measures and appropriately translating and trans‐adapting existing measures for ABLE students.

The evaluation of social communication and interaction (SC/I) behaviors is foundational to the autism identification process. However, this type of evaluation is made difficult by the fact that SC/I is a construct in which perceptions and expectations are largely influenced by norms and attitudes of different sociodemographic groups. While there are many factors that influence differences in SC/I behaviors across sociodemographic groups, one factor that may be especially important is the perceived value of these behaviors. The purpose of this study is to investigate which sociodemographic factors influence the perceived importance of SC/I behaviors among caregivers of children and adolescents. Caregivers (n = 398) living in the United States completed the Social Communication and Interaction Perceptions Scale (SCIPS). Linear mixed-effect models were used to investigate the relationship between the perceived importance of SC/I behaviors and seven sociodemographic factors as well as determine if this relationship was moderated by SC/I behavior type (i.e., foundational vs. advanced behaviors). Several different sociodemographic factors (i.e., caregiver race/ethnicity, caregiver gender, household income, child disability status, child age, child gender) were associated with caregiver ratings of the perceived importance of SC/I behaviors. This relation was, in some instances (i.e., caregiver race/ethnicity, caregiver gender, child disability status), moderated by whether the SC/I behaviors were foundational or advanced. Our findings highlight the importance of considering the values of caregivers regarding perceived SC/I importance during the autism identification process.

Though there is evidence autism identification has been inequitable for populations who are culturally and linguistically minoritized, there is limited research that explains the issue of disproportionality and factors contributing to its occurrence, especially within an educational setting. To explore contributors to racial/ethnic disparities in autism special education eligibility, the current investigation evaluated child and evaluation characteristics as they relate to the absence of autism eligibility. Data were obtained from the Autism and Developmental Disabilities Monitoring (ADDM) Network Study and included children with behavioral characteristics consistent with autism and educational evaluation records. Despite documented characteristics consistent with autism, only 72% of the sample received educational services under autism eligibility. To characterize children without autism eligibility, hierarchical logistic regression was used to evaluate factors documented in evaluation records predicting the absence of autism eligibility. Factors influencing autism eligibility included behavioral characteristics documented, evaluation components completed, intellectual ability, and clinical diagnoses present. There was no unique contribution of race/ethnicity in predicting the absence of autism eligibility when accounting for these previous predictors, but many of these predictors differed by racial/ethnic group. Disproportionality in autism may be the manifestation of inequitable evaluation experiences, including experiencing less comprehensive evaluations, and not receiving an autism specific assessment. Though race/ethnicity did not uniquely contribute to the absence of autism eligibility above and beyond those combined factors, it is important to evaluate and reduce inequities experienced within the autism identification process for populations who are culturally and linguistically minoritized.

The identification of specific learning disabilities (SLD) remains fraught with controversy and uncertainty about professionals’ capacity to appropriately identify special education eligibility. For students from linguistically minoritized backgrounds, the exclusionary clause prohibits the identification of learning difficulties primarily attributable to contextual or linguistic factors. Yet the ambiguity of the federal language may hinder application, making critical states’ interpretation and corresponding guidance for professional practice in eligibility determination. In this archival study, we systematically reviewed state departments’ education policies and related guidance on the identification of multilingual learners with SLD, with a focus on how states have articulated policies and procedures related to the federal exclusionary clause. Our findings demonstrate variability and depth of information across states pertaining to guidance regarding the exclusionary clause. Implications for practice and policy are provided.

Little information regarding the psychometric properties of the most commonly used autism identification measures used in school settings with traditionally racially and ethnically minoritized (REM) groups is available. This analysis of autism identification measures is particularly important due to the demographic increase in the United States among most REM populations in recent decades. In addition, most REM groups are inequitably identified for autism and these measures may contribute to disproportionate identification based on problematic psychometric factors. This study systematically compiles the recommended psychometric properties pertaining to validity and reliability of the common autism identification measures among REM groups that are traditionally underrepresented (i.e., Black and Latinx populations) for autism identification. Conclusions suggest that several of the most common autism identification measures lack sufficient psychometric analyses to evaluate appropriate utilization with REM populations, specifically those who are Black and Latinx. The findings from this study may inform school psychologists' utilization and knowledge of limitations of these measures, as well as assisting with the determination of the appropriateness of these measures for use with REM populations.

Although many disciplines saw increases in manuscript submissions coinciding with lockdown measures, numerous studies have documented widening gender gaps in academic productivity. Chi-squared analyses of gendered trends in first author manuscript submission in three school psychology journals during the initial phase of COVID-19 compared to the same time frame in the preceding 3 years did not reveal any significant associations. There was a significant increase over time in the gender gap, with a trend of more female authors than male authors. Women school psychology researchers may not have experienced similar detriments to productivity as in other disciplines, or such detriments were not reflected in submission patterns during this time frame. Limitations of the study and implications for school psychology are provided.

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School psychologists play a critical role in school-based Autism (AU) evaluations. Evidence-based AU evaluations should be multimodal, include multiple informants, and assess functioning across several domains. In the current era of COVID-19, school-based AU evaluations have become increasingly complex with school psychologists having to significantly adapt face-to-face evaluation procedures and/or conduct evaluations via teleassessment approaches. This poses profound challenges for some families, many of whom are from vulnerable groups. In the current article, we outline school psychologists' traditional role in school-based AU evaluations and review best practice guidelines. We then discuss the impact of COVID-19 on these processes and provide a framework for school psychologists to use when conducting school-based AU evaluations during this unprecedented time. We also provide resources school psychologists may find useful as they conduct school-based AU evaluations during the COVID-19 pandemic. (PsycInfo Database Record (c) 2021 APA, all rights reserved).