Although specific learning disabilities (SLD) represent the largest category for which school-age children receive special education services, the science and practice of SLD identification continues to evade consensus. Our goal is to bring together trainers and researchers with different perspectives on SLD identification to help spur a move toward a potential consensus, discuss agreements and disagreements on SLD identification in the field including amongst ourselves, and work toward productive discussion that may help move the field forward. We review essential conceptual questions that require greater scrutiny and thought to build a stronger understanding of SLD. We then discuss current assessment and identification practices, focusing on the not-so-controversial and the controversial issues in the field. Finally, we conclude with questions and considerations that challenge many of the established assumptions and systems currently in place. The aim of this article is to support constructive discussion on the topic of SLD that may have profound effects on the perennial issues the field continues to face.

Cognitive-achievement relations research suggests that cognitive abilities are instrumental for academic skill development. This study examined cognitive-achievement relations with the newly revised Woodcock–Johnson V (WJ V) standardization sample across the lifespan (ages 6–90+) for reading, writing, and mathematics using multi-group structural equation modeling. Integrated models of achievement were used, where cognitive abilities were predictors of all academic skills, and basic academic skills were predictors of advanced academic skills. Many results were consistent with previous research, such as general intelligence ( g ) having strong indirect effects on academic skills, basic academic skills were strong predictors of advanced academic skills, Auditory Processing was a strong predictor of Basic Reading Skills and Spelling, and Fluid Reasoning was a strong predictor of Math Calculation and Math Problem Solving. Some differences that have not been observed in previous research were that Auditory Processing was a stronger predictor of Basic Reading Skills and Spelling than has been found in previous research, and Visual Processing was a consistent predictor of Math Calculation across the lifespan. Results suggest that cognitive abilities measured using the WJ V are important predictors of academic skills, and cognitive ability scores may provide insights for evaluations conducted for academic difficulties.

This study experimentally examined whether specific learning disability (SLD) identification model (i.e., ability-achievement discrepancy [Ab-Ach], response-to-intervention [RtI], and patterns of strengths and weaknesses [PSW]) was associated with SLD identification decisions, the confidence in the decision, and the perceived importance of different assessment data sources in identifying SLD. Participants (N = 264) reviewed a psychoeducational evaluation vignette and determined whether the student should be identified with SLD based on the identification criteria for their randomly assigned condition (i.e., Ab-Ach, RtI, or PSW). Results indicated that type of SLD identification model used did not predict SLD identification decision or the confidence in the decision. However, participant race was related to SLD identification decisions, and participant race, national certification, and years of experience were related to decision confidence. School psychologists rated progress monitoring data, standardized tests, and educational record reviews as the most salient assessment data sources in identifying SLD.

Spearman’s Law of Diminishing Returns (SLODR) suggests general intelligence would be a stronger predictor of academic skills at lower general ability levels, and broad cognitive abilities would be stronger predictors of academic skills at higher general ability levels. Few studies have examined how cognitive–mathematics relations may vary for people with different levels of general cognitive ability. Multi-group structural equation modeling tested whether cognitive–mathematics relations differed by general ability levels for school-aged children (grades 1–5 and grades 6–12) using the Woodcock-Johnson Third Edition (n = 4470) and Fourth Edition (n = 3891) standardization samples. Results suggested that relationships between cognitive abilities and mathematics varied across general ability groups. General intelligence showed a stronger relative effect on mathematics for those with lower general ability compared to those with average or high general ability, and broad cognitive abilities showed a stronger relative effect on mathematics for those with average or high general ability compared to those with lower general ability. These findings provide a more nuanced understanding of cognitive–mathematics relations.

Few studies have examined how cognitive-reading relations vary for children and adolescents with different levels of general cognitive ability. This may be instrumental in understanding the development of academic skills and learning difficulties. Research suggests reading development should emphasize the influence of contextual factors that have been featured in prominent theories on cognitive-academic development (e.g., mutualism, Spearman’s law of diminishing returns), which can provide new ways of understanding how cognitive processes influence reading. Moderated nonlinear factor analysis tested whether cognitive-reading relations differed by general ability levels and age using children and adolescents aged 5–18 from the Woodcock–Johnson V standardization sample ( N = 3384). Results suggested evidence of general ability level and age moderation of general intelligence and broad ability effects on reading skills. These findings provide a more granular perspective on understanding the cognitive processes that influence reading development and can inform psychoeducational assessment practices.

Cognitive tests measure psychological constructs that predict the development of academic skills. Research on cognitive–reading achievement relations has primarily been completed with single-test batteries and samples, resulting in inconsistencies across studies. The current study developed a consensus model of cognitive–reading achievement relations using meta-structural equation modeling (meta-SEM) through a cross-sectional analysis of subtest correlations from English-language norm-referenced tests. The full dataset used for this study included 49,959 correlations across 599 distinct correlation matrices. These included correlations among 1112 subtests extracted from 137 different cognitive and achievement test batteries. The meta-SEM approach allowed for increased sampling of cognitive and academic reading skills measured by various test batteries to better inform the validity of construct relations. The findings were generally consistent with previous research, suggesting that cognitive abilities are important predictors of reading skills and generalize across different test batteries and samples. The findings are also consistent with integrated cognitive–reading models and have implications for assessment and intervention frameworks.

Practitioners are encouraged to apply theories of reading development to psychoeducational test interpretation. Orthographic mapping provides an explanation of the acquisition of sight words. Although many test batteries provide tasks for practitioners to assess reading components associated with orthographic mapping, the relationship among components will vary across batteries and specific task demands that can impact their interpretation by practitioners. This study evaluated the effects of phonemic awareness and oral language skills on various indicators of orthographic mapping competence while controlling for word decoding skills in the standardization samples of the Kaufman Tests of Educational Achievement, 3rd Edition (KTEA-3) and the Wechsler Individual Achievement Test, Fourth Edition (WIAT-4). The WIAT-4 phonemic awareness subtest's task demands and relationships between it and some measures of word reading conform to the phonemic proficiency hypothesis. We discuss implications for comprehensive psychoeducational assessment when evaluating student reading development.

Although the trajectories of children's social skills have been examined across biological sexes, less research has examined these patterns for racially and ethnically diverse children in the United States. The purpose of this study was to estimate the longitudinal growth trajectories of social skills, while examining the influence of biological sex, race, and ethnic identities using an adaptation of the commonly used Social Skills Rating Scale. A large nationally representative sample of elementary school children in the United States were assessed annually from kindergarten through fifth grade (N = 11,792). Structural equation modeling was used to examine latent growth curve models of teacher-rated interpersonal skills and self-control. After finding evidence of longitudinal invariance, results suggested a quadratic growth pattern best represented the trajectories of social skills ratings. Teacher ratings for African American children demonstrated a moderate declining linear trajectory throughout elementary school when compared with White children (reference group) and their Asian and Hispanic peers. Children from families with higher socioeconomic status and girls showed moderate to large differences in social skills ratings in kindergarten and stronger growth across time. Implications of the findings with future directions for research are discussed. Teacher ratings of children's social skills differ by child demographics.Teacher ratings for African American children show a decline throughout elementary school compared to peers.Children from families with higher socioeconomic status and girls showed larger differences and stronger growth.

Background Prior studies have shown that marijuana use is often associated with physical teen dating violence. However, few studies have examined the longitudinal mediating effects of associating with antisocial peers and impulsivity on this relationship. Also, few studies have estimated the cascading developmental impact of marijuana use and antisocial peer association, predicting the continued marijuana use and antisocial peer associations while considering the risk of impulsivity in physical teen dating violence. Thus, the current study utilized the problem behavior theory and an alternative path to physical dating violence to address these limitations. Objective The current study tested the longitudinal effects of marijuana use on physical teen dating violence and the indirect effects of antisocial peer association and impulsivity on this relationship (M = 12.29); 52.1 % of males and 47.9 % of females participated. Methods Adolescents completed questionnaires at baseline and were assessed six months later (n = 836). Generalized structural equation modeling (GSEM) and cross-lagged mediation models were used first to analyze the direct effect of lifetime marijuana use on physical dating violence and antisocial peer association and impulsivity as potential mediators of this relationship. Then, the cross-lagged mediation models were used to estimate the alternative path to physical teen dating violence using lifetime marijuana use and antisocial peer association as predictors at baseline and continued antisocial peer association, marijuana use, and impulsivity at the subsequent wave as mediators. Results Results suggested that marijuana use at baseline was not positively associated with physical teen dating violence over time. The association with antisocial peers but not impulsivity mediated the relationship between marijuana use and physical dating violence. Cross-lagged mediation results suggested that marijuana use at baseline positively predicted antisocial peer association in the subsequent wave, which led to an increase in physical teen dating violence. Further, antisocial peer association at baseline is positively associated with continued antisocial peer association at the subsequent wave; thus, antisocial peer association is positively related to physical teen dating violence when controlling for depressive symptoms, family support, number of dates, and parental monitoring. Conclusion These results suggest though marijuana use alone is not statistically associated with physical teen dating violence, it does increase the risk of antisocial social peer associations that could increase adolescents' likelihood to engage in physical teen dating violence. Further, the onset of antisocial peer association could persist over time, thus serving as a risk factor for physical teen dating violence over time.

Teacher-student relationships (TSR) have been a key focus of study for developmental and educational psychology researchers interested in improving proximal and distal academic outcomes for children and youth. Although prior empirical work suggests some degree of association between TSR and achievement, the co-development of TSR and achievement during elementary grades remains unclear with most findings limited to reading and mathematics achievement. The current study used parallel process growth curve models (PPGCMs) to examine the longitudinal growth trajectories of teacher-student closeness and conflict, and science, reading, and mathematics achievement simultaneously for children followed from kindergarten to third grade in the Early Childhood Longitudinal Study, Kindergarten Class of 2010-2011 (N = 13,490). Findings from the final PPGCM showed teacher-student closeness in kindergarten was positively associated with science, reading and mathematics achievement in kindergarten (r = 0.234 to 0.277) and the linear growth of achievement through third grade (r = 0.068 to 0.156). Teacher-student conflict in kindergarten was negatively associated with science, reading, and mathematics achievement in kindergarten (r = -0.099 to -0.203) and the linear growth of achievement through third grade (r = -0.081 to -0.135). Child biological sex, family socioeconomic status, and child racial and ethnic identity predicted TSR and achievement developmental trends. Implications of the findings and future directions for research are discussed.

There is a compendium of research to support the premise that positive teacher-student relationships (TSR) set the stage for children's success via classroom engagement, social functioning, and academic skills development. Although studies have demonstrated reciprocal associations between TSR and academic achievement, inferences that stem from prior study results are limited due to methodological designs that fall short in capturing directionality in developmental change processes. To address gaps in the literature and improve our understanding of the complex associations between TSR and academic achievement, we analyzed the codevelopment of TSR and achievement in reading and mathematics using dual change score models (DCSM), a type of latent change score model, focusing on the associations between longitudinal trajectories of TSR-achievement pairs and on the reciprocal prediction of latent changes between each wave of measurement. We examined data from a large-scale, nationally representative study (Early Childhood Longitudinal Study Kindergarten Cohort of 2010-2011). Results of our DCSM, contrary to prior findings, demonstrate that variability in the ratings of TSR did not predict subsequent latent changes in reading or mathematics achievement. Likewise, the variability in achievement scores did not predict subsequent latent changes in ratings of TSR. Limitations and future directions for research are discussed. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Although phonemic awareness is an essential skill in learning to decode written words, practitioners may question which phonemic awareness tasks best operationalize their relationship with orthographic mapping, the process that converts a decoded word into one instantly recognized on sight. Tests from the Woodcock– Johnson IV were used to evaluate the effects of phonemic awareness tasks and vocabulary on measures of pseudoword decoding, word reading, and spelling in three age groups (ages 6 to 8, 9 to 13, and 14 to 19 years) within the WJ IV normative sample ( N = 4082). Results from path analysis indicated the effects of phonemic awareness tasks and vocabulary varied depending on age and reading task type with mixed results based on theoretical expectations. Results from the 9 to 13 age group appeared closest to conforming to hypotheses. We discuss implications of measuring phonemic awareness, reading, and spelling in the context of comprehensive psychoeducational assessment.

Cognitive–achievement relations research has been instrumental in understanding the development of academic skills and learning difficulties. Most cognitive–achievement relations research has been conducted with large samples and represent average relations across the ability spectrum. A notable gap in the literature is whether these relations vary by cognitive ability levels (IQ). This study examined cognitive–achievement relations across different general ability levels (Low, Average, and High) to fill this gap. Based on Spearman’s Law of Diminishing Returns, it would be expected that general intelligence would be a stronger predictor of academic skills at lower levels of IQ, and more specific abilities would be stronger predictors of academic skills at higher levels of IQ. To test this, multi-group path analysis and structural equation modeling were used to examine whether integrated models of cognitive–reading relations are differentiated by IQ levels in the Woodcock–Johnson III and Woodcock–Johnson IV standardization samples. Global and broad cognitive abilities were used as predictors of basic reading skills and reading comprehension for elementary and secondary school students. The magnitude of prediction differed across ability groups in some cases, but not all. Importantly, the variance explained in basic reading skills and reading comprehension tended to be larger for the Low group compared to the Average and High groups. When variance accounted for by general intelligence was removed from the broad abilities, the effects of the broad abilities were similar across ability groups, but the indirect effects of g were higher for the Low group. Additionally, g had stronger relative effects on reading in the Low group, and broad abilities had stronger relative effects on reading in the Average and High groups. The implications and limitations of this study are discussed.

There has been little research investigating the predictive validity of modern intelligence tests for racially and ethnically diverse students. The validity of test score interpretation within educational and psychological assessment assumes that test scores predict educationally relevant phenomena equally well for individuals, regardless of group membership (American Educational Research Association et al., 2014; Messick, 1995; Warne et al., 2014). We used multiple group latent variable structural equation modeling (SEM) to investigate Cattell-Horn-Carroll general (g) and broad cognitive abilities on reading and mathematics achievement and whether these differed between racial (African American, Asian, and Caucasian) and ethnic (Hispanic, non -Hispanic) children and adolescents within the Woodcock-Johnson IV norming sample (N = 3127). After establishing construct equivalence across racial and ethnic groups, supporting the consistent calculation of composite scores regardless of group membership, we then examined the predictive validity of intelligence on achievement. After controlling for parent education, findings suggested two instances of differential predictive relations: (a) general intelligence had larger influences on basic reading skills for Caucasians when compared to Asian peers, and (b) comprehension-knowledge had larger influences on basic reading skills for Asians when compared to Caucasian peers. The overall pattern of findings suggests there is little to no predictive bias with the WJ IV. However, the findings indicate that when latent mean differences exist (after establishing strong factorial invariance), then bias will be introduced into the estimation of regression parameters used to identify differential predictive validity. Thus, even when measurement invariance is supported, differential prediction bias is inevitable when there are mean differences in the scores used as predictors. Future test bias research should consider latent ability differences and how that may impact findings of bias, and possibly, socioeconomic status -related indicators when assessing for measurement or prediction bias in intelligence and achievement tests.

Despite decades of research, much is still unknown regarding how specific learning disability (SLD) identification decisions are made, particularly how language related to sociodemographic and psychosocial factors may impact decision-making. This study employed the Linguistic Inquiry and Word Count (LIWC) method to examine the language used in school psychological reports to better understand how sociodemographic (i.e., race, socioeconomic background, and gender) and psychosocial factors (e.g., positive and negative emotion, student effort, and student social processes) related to SLD identification within a Response to Intervention (RtI) identification method. The reports of students identified as SLD contained significantly more achievement-related language (e.g., hardworking, motivated, exerting effort) compared to students who were not identified as SLD, and achievement-related language was associated with SLD identification above and beyond RtI evaluation data (i.e., academic achievement and slope). Implications for research and practice are discussed. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

This study examined the extent to which cognitive ability index scores predicted multidisciplinary teams' (MDT) SLD identification within a response-to-intervention (RtI) method after accounting for RtI slope and norm-referenced achievement scores. Results showed that four achievement composite scores (i.e., basic reading, reading comprehension, math computation, and math problem solving) and two cognitive ability index scores (i.e., crystallized ability, working memory) predicted MDT-determined SLD, explaining 81% of the variance. The inclusion of academic achievement and cognitive ability index scores predicted MDT-determined SLD with 90% accuracy; cognitive ability index scores only increased specificity (sensitivity = 95%; specificity = 79%). RtI slope did not predict MDT-determined SLD, which was a required component of the evaluation.

The purpose of this study was to estimate the longitudinal and reciprocal predictive relations between children’s social skills, measured by an adaptation of the frequently used Social Skills Rating Scale, and their standardized academic achievement. A large nationally representative sample of elementary school students were assessed at least annually from kindergarten through fifth grade in the Early Childhood Longitudinal Study, Kindergarten Class of 2010–2011 ( n = 7963). Structural equation modeling was used to test a panel model of teacher-rated interpersonal and self-control skills and children’s scores on standardized reading, math, and science achievement tests. Reciprocal relations between children’s social skills and achievement were supported throughout elementary school, with achievement showing a stronger and consistent pattern of influence on children’s subsequent social skills.

At school entry, girls are rated by teachers as more competent on measures of social skills than boys. It is less clear if this higher rating is stable or grows over time. To address this question, multiple group curve of factors models investigated gender-specific growth trajectories across seven waves of measurement in a large, longitudinal sample (N = 1024, NICHD SECCYD). Results showed that girls’ social skills were consistently rated higher from kindergarten to sixth grade, and the effect size was moderate (latent Cohen’s d = .37 to .62). Boys demonstrated greater heterogeneity in social skills at nearly every grade with the gender difference in variability stable after second grade. An examination of gender differences in growth trajectories showed that boys demonstrated a linear decrease over time, whereas girls’ social skills did not significantly change over time after accounting for initial level of social skills in kindergarten.

Reliable and meaningful sex differences exist in specific cognitive abilities despite no reliable or meaningful sex difference in general intelligence. Here we use Cattell-Horn-Carroll (CHC) theory to highlight research findings related to sex differences in intelligence, with a focus on studies of test scores from comprehensive intelligence measures that were obtained from large and representative samples of children and adolescents. Female advantages in latent processing speed and male advantages in latent visual processing are the most meaningful and consistently reported sex differences regarding CHC broad cognitive abilities. Differences have been reported in narrow and specific ability constructs such as mental rotation and object memory location. In academic achievement, the largest and most consistent findings are female advantages in writing, whereas male advantages at higher math ability levels are also found. Empirical descriptions of sex differences should consider the breadth of the construct under study and incorporate analysis beyond simple mean differences. Score analysis methods that utilize multiple-group confirmatory factor models and multiple-indicator multiple cause models are useful to address the former, and analysis methods such as quantile regression and male-female ratio calculations along score distributions are useful to address the latter. An understanding of why specific ability differences exist in combination and in the presence of similarities will improve researchers' understanding of human cognition and educational achievements.

The current study aimed to develop a measure of anticipated teacher–student relationship quality to be used with preservice teacher populations that is operationally similar to a measure commonly used with inservice teachers (i.e., short-form of the Student–Teacher Relationship Scale). To date, teacher–student relationship quality has been a construct studied solely with inservice teacher populations. Two hundred and thirteen preservice teachers participated in the current study. Results suggest that the developed measure of anticipated teacher–student relationship with preservice teachers demonstrated response trends similar to the measure used with inservice teachers except that preservice teachers anticipate more conflict with future students than inservice teachers report with current students. Additionally, results show the developed measure fits the two factor structure of the original scale and exhibits concurrent validity via associations with teacher self-efficacy beliefs. Implications for measuring anticipated teacher–student relationship quality within teacher education programs and future directions for research are discussed.