The program code developed by others is appropriately cited in the text and listed in the references section. The raw and processed data on which study conclusions are based are not available. The statistical syntax needed to reproduce analyses in the article is available upon request. The methods section provides references for the materials described therein. We report how we determined our sample size, all data exclusions, all manipulations, and all measures in the study, and we follow APA Style Journal Article Reporting Standards. This study's design, hypotheses, and data analytic plan were not pre-registered. Prior research supports the need for elementary-aged students with reading difficulties (RD) to receive explicit systematic small group evidence-based reading instruction. Yet for many students, simply receiving an evidence-based reading instruction in a small group setting is insufficient to reach the progress milestones needed to meet grade level reading standards. The current study examined whether: (1) elementary school students with RD constitute a homogeneous or heterogeneous groups when considering their basic language and cognitive skills (using a latent profile analysis), and (2) if latent profiles are predictive of response to reading comprehension instruction (using a mixed modeling approach). The sample consisted of 335 students, including students with RD and typical students ( = 57). The results revealed heterogeneity within students with RD - there were two distinct profiles, with one having higher basic language (reading fluency and decoding) and cognitive (verbal domain productivity, cognitive flexibility, working memory) skills and lower attention skills, and the other having stronger attention skills and lower basic language and cognitive skills. The findings also suggested that latent profiles were predictive of response to reading comprehension instruction. Our results provide a convincing argument for leading the field in the direction of developing customized interventions. It is conceivable, but remains to be further examined, that researchers and educators could potentially improve reading outcomes through providing a customized reading intervention to a student based on their cognitive-language profile.

More and more, people are abandoning the active pursuit of news, assuming instead that important information will be pushed to them via their social media networks. This approach to news makes people susceptible to the vast amounts of misinformation online, yet research on the effects of this kind of engagement is mixed. More research is needed on technology incidental learning effects, defined as changes in knowledge, attitudes, beliefs, and behaviors as a result of being exposed to information while pursuing goals other than learning (e.g., entertainment). In this study, we examined how 51 college students responded to incidental exposure to accurate and inaccurate COVID-19 information delivered via a simulated social media environment. Participants' verbalizations during think-aloud protocols indicated numerous mental processes including cognition, metacognition, epistemic cognition, motivation, and emotions. Positively valenced mental processing was more often expressed with accurate COVID-19 information and negatively valenced mental processing was more often verbalized with misinformation. Negatively valenced evaluations of knowledge claims and sources predicted less engagement with COVID-19 misinformation posts. However, in many cases the relations among verbalized mental processing and behavioral responses were complex or non-obvious. For example, participants' positive metacognition and epistemic cognition verbalizations decreased their likelihood of engaging with accurate COVID-19 information, whereas positive interest was associated with an increased likelihood of engaging with misinformation. Our findings have implications for how to accurately infer people's beliefs and intentions from their social media behaviors and how to design interventions to help people be more active and thoughtful consumers of online information.

The 'simple view of reading' is an influential model of reading comprehension which asserts that children's reading comprehension performance can be explained entirely by their decoding and language comprehension skills. Children with ADHD often exhibit difficulty across all three of these reading domains on standardized achievement tests, yet it is unclear whether the simple view of reading is sufficient to explain reading comprehension performance for these children. The current study was the first to use multiple indicators and latent estimates to examine the veracity of key predictions from the simple view of reading in a clinically-evaluated sample of 250 children with and without ADHD (ages 8-13, M=10.29, SD=1.47; 93 girls; 70% White/Non-Hispanic). Results of the full-sample structural equation model revealed that decoding and language comprehension explained all (R=.99) of the variance in reading comprehension for children with and without ADHD. Further, multigroup modeling (ADHD, Non-ADHD) indicated that there was no difference in the quantity of variance explained for children with ADHD versus clinically-evaluated children without ADHD, and that the quantity of explained variance did not differ from 100% for either group. Sensitivity analyses indicated that these effects were generally robust to control for monomethod bias, time sampling error, and IQ. These findings are consistent with 'simple view' predictions that decoding and language comprehension are both and together for explaining children's reading comprehension skills. The findings extend prior work by indicating that the 'simple view' holds for both children with ADHD and clinically-evaluated children without ADHD.

There are consistent correlations between mathematics achievement, attitudes, and anxiety, but the longitudinal relations among these constructs are not well understood nor are sex differences in these relations. To address this gap, mathematics achievement, attitudes, and anxiety were longitudinally assessed for 342 (169 boys) adolescents from 7th to 9th grade, inclusive, and Latent Growth Curve Models were used to assess the relations among these traits and developmental change in them. Spatial abilities (7th, 8th grade) and trait anxiety (8th, 9th grade) were also assessed and used for control for sex differences in these traits. Overall, boys had stronger spatial abilities and more positive mathematics attitudes and were less anxious than girls, but there were no sex differences in mathematics achievement. Across grades, mathematics achievement improved, attitudes became less positive, and anxiety increased for both boys and girls. Higher than average cross-grade growth in mathematics achievement mitigated boys' developmental declines in mathematics attitudes and increases in anxiety. Girls with strong spatial abilities had lower mathematics anxiety, but girls overall maintained higher mathematics anxiety and less positive mathematics attitudes relative to boys, even when they showed strong cross-grade gains in mathematics achievement. The study demonstrated that longitudinal gains in mathematics are associated with cross-grade changes in attitudes and anxiety but with several different developmental patterns for boys and girls.

The study tested the hypothesis that there are sex differences in the pathways to mathematical development. Three hundred forty-two adolescents (169 boys) were assessed in various mathematics areas from arithmetic fluency to algebra across 6 to 9 grade, inclusive, and completed a battery of working memory, spatial, and intelligence measures in middle school. Their middle school and 9 grade teachers reported on their in-class attentive behavior. There were no sex differences in overall mathematics performance, but boys had advantages on all spatial measures (s = .29 to .58) and girls were more attentive in classroom settings (s = -.28 to -.37). A series of structural equation models indicated that 6- to 9-grade mathematical competence was influenced by a combination of general cognitive ability, spatial abilities, and in-class attention. General cognitive ability was important for both sexes but the spatial pathway to mathematical competence was relatively more important for boys and the in-class attention pathway for girls.

While the extraordinary pressures of the COVID-19 pandemic on student mental health have received considerable attention, less attention has been placed on educator well-being. School system employees play a vital role in society, and teacher levels of well-being are associated with the educational outcomes of young people. We extend extant research on the prevalence and correlates of educator distress during the pandemic by reporting on a pragmatic randomized wait-list controlled trial (=662; 64% teachers) of an innovative mental health promotion strategy implemented during the pandemic; a free four-week smartphone-based meditation app designed to train key constituents of well-being (Healthy Minds Program; HMP). Following our preregistered analysis plan and consistent with hypotheses, assignment to the HMP predicted significantly larger reductions in psychological distress, our primary outcome, at post-intervention (Cohen's =-0.52, 95% confidence interval [-0.68, -0.37], <.001) and at the three-month follow-up (=-0.33 [-0.48, -0.18], <.001). Also consistent with hypotheses, we observed similar indications of immediate and sustained benefit following the HMP on all six preregistered secondary outcomes selected to tap skills targeted in the app (e.g., perseverative thinking, social connection, well-being; absolute s=0.19-0.42, all s<.031 corrected except mindful action at follow-up). We found no evidence for elevated adverse events and the HMP was equally effective among participants with elevated baseline anxiety and depressive symptoms. These data suggest that the HMP may be an effective and scalable approach to supporting the mental health and well-being of teachers and other school system employees, with implications for employee retention and performance, and student outcomes.

Bringing effective, research-based literacy interventions into the classroom is challenging, especially given the cultural and linguistic diversity of today's classrooms. We examined the promise of Assessment-to-Instruction (A2i) technology redesigned to be used at scale to support teachers' implementation of the individualized student instruction (ISI) intervention from kindergarten through third grade. In seven randomized controlled trials, A2i and ISI have demonstrated efficacy. However, the research version of A2i was not scalable. In order to bring A2i to scale in schools serving linguistically diverse students, we carried out the current study across two phases. This study represents both an exploration of what it takes to bring an educational intervention to scale (Phase 1) and a quasi-experiment on the literacy outcomes of learners whose teachers used the technology (Phase 2). We integrated assessments of vocabulary, word decoding, and reading comprehension; revised the A2i algorithms to account for the constellation of skills English learners (ELs) bring to the classroom; updated the user interfaces and added new graphic features; and improved bandwidth and stability of the technology. Findings were mixed, including several non-significant results, a marginally significant intent-to-treat effect on word reading in kindergarten and first grade for English monolingual students and ELs, and one significant interaction effect, which suggested ELs and students with less developed reading skills in second and third grade benefitted most from the intervention. With some caution, we conclude that A2i demonstrates potential to be used at scale and promise of effectiveness for improving code-focused skills for diverse learners.

Metacognition is theorized to play a central role in children's mathematics learning. The primary goal of the current study was to provide experimental evidence in support of this role with elementary school students learning about mathematical equivalence. The final sample included 135 children (59 first-graders and 76 second-graders) who participated in the study across three sessions in their classrooms. They completed a pretest during session one, a lesson and posttest during session two, and a two-week delayed retention test during session three. For session two, children were randomly assigned to receive a lesson on mathematical equivalence with or without integrated metacognitive questions. Relative to the control lesson, children who received the metacognitive lesson demonstrated higher accuracy and higher metacognitive monitoring scores on the posttest and retention test. Further, these benefits sometimes extended to uninstructed items targeting arithmetic and place value. No condition effects were observed for children's metacognitive control skills within any of the topics. These findings suggest a brief metacognitive lesson can improve children's mathematics understanding.

Set for variability (SfV) is an oral language task which requires an individual to disambiguate the mismatch between the decoded form of an irregular word and its actual lexical pronunciation. For example, in the task, the word is pronounced to rhyme with (i.e., //) and the individual must recognize the actual pronunciation of the word to be //. SfV has been shown to be a significant predictor of both item-specific and general word reading variance above and beyond that associated with phonemic awareness skill, letter-sound knowledge, and vocabulary skill. However, very little is known about the child characteristics and word features that affect SfV item performance. In this study we explored whether word features and child characteristics that involve phonology only are adequate to explain item-level variance in SfV performance or whether including predictors that involve the connection between phonology and orthography explain additional variance. To accomplish this we administered the SfV task (=75 items) to a sample of grade 2-5 children (=489) along with a battery of reading, reading related, and language measures. Results suggest that variance in SfV performance is uniquely accounted for by measures tapping phonological skill along with those capturing knowledge of phonology to orthography associations, but more so in children with better decoding skill. Additionally, word reading skill was found to moderate the influence of other predictors suggesting that how the task is approached may be impacted by word reading and decoding ability.

Recent work has stressed the importance of considering child-level propensities and environmental opportunities when studying early math achievement; however, few studies investigate the interaction between these factors. This study examined whether children's inhibitory control moderates the association between parental math input and children's math performance. Parental math input via number talk and parent-reported frequencies of math activities were measured in 123 children ( = 3.9 years) and one of their parents. High levels of parent number talk were associated with higher math achievement among children with higher inhibitory control. This association was not seen in children with lower inhibitory control, for children's vocabulary as the outcome measure, or for parents' overall talk or parent-reported math activities as the opportunity measures. Thus, children may differentially benefit from parental math input depending on their cognitive abilities and this association is specific to parental number talk and children's math abilities.

There is now considerable evidence regarding the types of interventions that are effective at remediating reading disabilities on average. It is generally unclear, however, what predicts the magnitude of individual-level change following a given intervention. We examine new predictors of intervention gains that are theoretically grounded in computational models of reading and focus on individual differences in the functional organization of the reading system. Specifically, we estimate the extent to which children with reading disabilities (n=118 3-4 graders) rely on two sources of information during an oral word reading task - print-speech correspondences and semantic imageability - before and after a phonologically-weighted intervention. We show that children who relied more on print-speech regularities and less on imageability pre-intervention had better intervention gains. In parallel, children who over the course of the intervention exhibited greater increases in their reliance on print-speech correspondences and greater decreases in their reliance on imageability had better intervention outcomes. Importantly, these two factors were differentially related to specific reading task outcomes, with greater reliance on print-speech correspondences associated with pseudoword naming, while (lesser) reliance on imageability related to word reading and comprehension. We discuss the implications of these findings for theoretical models of reading acquisition and educational practice.

We examined longitudinal relations between 1-grade cognitive predictors (early nonverbal reasoning, processing speed, listening comprehension, working memory, calculation skill, word-problem solving, word-reading fluency, attentive behavior, and numerical cognition) and 2-grade academic outcomes (calculations, word-problem solving, and word reading) in 370 children ( = 6.55 years, = 0.33 years at the start of the study) who were identified as at-risk or not-at-risk for mathematics disability. Path analysis mediation models revealed that numerical cognition, assessed at an intermediary timepoint, mediated the effects of processing speed, working memory, calculation skill, word-problem solving, and attentive behavior on all 3 outcomes. Findings indicate that multiple early domain-general cognitive abilities are related to later mathematics and reading outcomes and that numerical cognition processes, which may track ease of forming symbol-concept associations, predict later performance across both academic domains.

Within the context of the Direct and Indirect Effects model of Writing, we examined a dynamic relations hypothesis, which contends that the relations of component skills, including reading comprehension, to written composition vary as a function of dimensions of written composition. Specifically, we investigated (a) whether higher order cognitive skills (i.e., inference, perspective taking, and monitoring) are differentially related to three dimensions of written composition-writing quality, writing productivity, and correctness in writing; (b) whether reading comprehension is differentially related to the three dimensions of written composition after accounting for oral language, cognition, and transcription skills; and whether reading comprehension mediates the relations of discourse oral language and lexical literacy to the three dimensions of written composition; and (c) whether total effects of oral language, cognition, transcription, and reading comprehension vary for the three dimensions of written composition. Structural equation model results from 350 English-speaking second graders showed that higher order cognitive skills were differentially related to the three dimensions of written composition. Reading comprehension was related only to writing quality, but not to writing productivity or correctness in writing; and reading comprehension differentially mediated the relations of discourse oral language and lexical literacy to writing quality. Total effects of language, cognition, transcription, and reading comprehension varied largely for the three dimensions of written composition. These results support the dynamic relation hypothesis, role of reading in writing, and the importance of accounting for dimensions of written composition in a theoretical model of writing.

We investigated the dimensionality and relations between L1 and L2 writing skills in narrative and informational genres, and higher order cognitive skills-inference, perspective taking, and comprehension monitoring-for Spanish-English dual language learners in primary grades. Dimensions of written composition and higher order cognitive skills were examined, comparing nine alternative models. Data from 317 dual language learners in Grades 1 and 2 were used in confirmatory factor analysis and structural equation modeling. For the dimensionality of written composition, a unidimensional model, where writing was characterized as a single underlying construct across languages (Spanish and English) and genres (narrative & opinion), fit the data best. With regard to the dimensionality of higher order cognitive skills, data supported a bifactor model with (a) a general factor that captures common variance across languages and across inference, perspective taking, and comprehension monitoring skills and (b) specific factors by language (Spanish and English). The higher order cognition general factor was fairly strongly related to writing quality (.59), and the relation remained even after accounting for sex, poverty status, grade level, English learner status, school, and biliterate status. These relations were similar for students in English immersion program and Spanish-English dual immersion programs. These results indicate potential cross-language transfer of higher order cognitive skills, and the roles of higher order cognitions in written composition for Spanish-English dual language learners.

Mindfulness training (MT) is considered appropriate for school teachers and enhances well-being. Most research has investigated the efficacy of instructor-led MT. However, little is known about the benefits of using self-taught formats, nor what the key mechanisms of change are that contribute to enhanced teacher well-being. This study compared instructor-led and self-taught MT based on a book (Williams & Penman, 2011) in a sample of secondary school teachers. We assessed expectancy, the degree to which participants believed the intervention was effective, their program engagement, well-being and psychological distress, and evaluated whether mindfulness and self-compassion skills acted as mediators of outcomes. In total, 206 teachers from 43 schools were randomized by school to an instructor-led or self-taught course-77% female, mean age 39 years ( = 9.0). Both MT formats showed similar rates of participant expectancy and engagement, but the instructor-led arm was perceived as more credible. Using linear mixed-effects models, we found the self-taught arm showed significant pre-post improvements in self-compassion and well-being, while the instructor-led arm showed such improvements in mindfulness, self-compassion, well-being, perceived stress, anxiety, depression, and burnout. Changes over time significantly differed between the groups in all these outcomes, favoring the instructor-led arm. The instructor-led arm, compared with the self-taught, indirectly improved teacher outcomes by enhancing mindfulness and self-compassion as mediating factors. Mindfulness practice frequency had indirect effects on teacher outcomes through mindfulness in both self-taught and instructor-led arms. Our results suggest both formats are considered reasonable, but the instructor-led is more effective than the self-taught. Trial registration: ISRCTN18013311.

A data-driven, transdiagnostic approach was used to identify the cognitive dimensions linked with learning in a mixed group of 805 children aged 5 to 18 years recognised as having problems in attention, learning and memory by a health or education practitioner. Assessments included phonological processing, information processing speed, short-term and working memory, and executive functions, and attainments in word reading, spelling, and maths. Data reduction methods identified three dimensions of phonological processing, processing speed and executive function for the sample as a whole. This model was comparable for children with and without ADHD. The severity of learning difficulties in literacy was linked with phonological processing skills, and in maths with executive control. Associations between cognition and learning were similar across younger and older children and individuals with and without ADHD, although stronger links between learning-related problems and both executive skills and processing speed were observed in children with ADHD. The results establish clear domain-specific cognitive pathways to learning that distinguish individuals in the heterogeneous population of children struggling to learn.

Academic acceleration of intellectually precocious youth is believed to harm overall psychological well-being even though short-term studies do not support this belief. Here we examine the long-term effects. Study 1 involves three cohorts identified before age 13, then longitudinally tracked for over 35 years: Cohort 1 gifted (top 1% in ability, identified 1972-1974, N = 1,020), Cohort 2 highly gifted (top 0.5% in ability, identified 1976-1979, N = 396), and Cohort 3 profoundly gifted (top 0.01% in ability, identified 1980-1983, N = 220). Two forms of educational acceleration were examined: 1. Age at high school graduation, and 2. Quantity of advanced learning opportunities pursued prior to high school graduation. Participants were evaluated at age 50 on several well-known indicators of psychological well-being. Amount of acceleration did not covary with psychological well-being. Study 2, a constructive replication of Study 1, utilized a different high-potential sample-elite science, technology, engineering, and mathematics graduate students (N = 478) identified in 1992. Their educational histories were assessed at age 25 and they were followed up at age 50 using the same psychological assessments. Again, the amount of educational acceleration did not covary with psychological well-being. Further, the psychological well-being of participants in both studies was above the average of national probability samples. Concerns about long-term social/emotional effects of acceleration for high-potential students appear to be unwarranted, as has been demonstrated for short-term effects.

Identifying meaningful cognitive and non-cognitive predictors of mathematical competence is critical for developing targeted interventions for students struggling with mathematics. Here, 317 students' short-term verbal memory, verbal and visuospatial working memory, complex spatial abilities, intelligence, and mathematics attitudes and anxiety were assessed, and their teachers reported on their attentive-behavior in seventh-grade mathematics classrooms. Bayesian regression models revealed that complex spatial abilities and in-class attention were the most plausible predictors of seventh-grade mathematics, but not word reading, achievement, controlling for prior achievement. These results were confirmed with multilevel models that revealed interactions between these factors and prior achievement. The largest gains were among students with strong mathematical competencies in sixth-grade, and average or better in-class attention in seventh-grade as well as above average spatial abilities. High mathematics anxiety was associated with lower attention and through this indirectly influenced achievement gains. These results have implications for how to best target interventions for students at risk for long-term difficulties with mathematics.

This study investigated developmental trajectories of reading and math using latent-growth-curve analyses across multiple academic skills, measures, and multiple time periods within a single sample. Reading-related growth was marked by significant individual differences during the early elementary-school period and non-significant individual differences during the late elementary-school period. For math-related skills, non-significant individual differences were present for early math growth and significant individual differences were present in late elementary-school. No clear pattern of cumulative, compensatory, or stable development emerged for either reading-related or math skills. These differing growth patterns highlight developmental complexities and suggest domain-specific differences in achievement growth that are potentially associated with contextual factors.

This study examined whether students who left biomedical fields of study during college did so primarily because they became disenchanted with those fields or because they felt attracted to alternative fields of study. We identified 1193 students intending to pursue biomedical fields of study early in college, collected data about their beliefs and performance throughout college, and interviewed them near graduation about their future plans. Descriptively, we examined the topics students discussed as affecting their attrition decisions. Predictive research aims were to determine how academic performance, interest, and demographic factors predicted students' likelihood of overall attrition and likelihood of reporting distinct reasons for attrition. Among the 192 students who left biomedical fields, 62.5% described leaving only in terms of feeling disenchanted, whereas 37.4% expressed that they left at least in part due to feeling attracted towards non-biomedical fields. Most students who left biomedical fields expressed changing plans for reasons related to interest; this was especially prevalent among students who reported leaving due to attraction towards non-biomedical fields. Predictive analyses showed that interest in biology and grades at the end of an introductory biology course predicted the likelihood of overall attrition and likelihood of leaving due to feeling disenchantment, whereas underrepresented ethnic minority status predicted these outcomes positively. Interest and course grades also predicted the likelihood of students leaving due to feeling attraction towards other fields, but interest was a stronger predictor relative to grades. Results highlight distinct types of attrition that may have implications for policies to promote STEM retention.

The main purpose of this study was to test the effects of word-problem intervention, with versus without embedded language comprehension instruction, on at-risk 1 graders' word-problem performance. We also isolated the need for a structured approach to word-problem intervention and tested the efficacy of schema-based instruction at 1 grade. Children (n=391; mean age = 6.53, = 0.32) were randomly assigned to 4 conditions: schema-based word-problem intervention with embedded language instruction, the same word-problem intervention but without language comprehension instruction, structured number knowledge intervention without a structured word-problem component, and a control group. Each intervention included 45 30-min sessions. Multilevel models, accounting for classroom and school effects, revealed the efficacy of schema-based word-problem intervention at 1 grade, with both word-problem conditions outperforming the number knowledge condition and the control group. Yet, word-problem performance was significantly stronger for the schema-based condition with embedded language comprehension instruction compared to the schema-based condition without language comprehension instruction. Number knowledge intervention conveyed no word-problem advantage over the control group, even though all 3 intervention conditions outperformed the control group on arithmetic. Results demonstrate the importance of a structured approach to word-problem intervention; the efficacy of schema-based instruction at 1 grade; and the added value of language comprehension instruction within word-problem intervention. Results also provide causal evidence on the role of language comprehension in word-problem solving.

This study investigated contributors of English reading comprehension outcomes among predominantly U.S.-born first and third grade ( = 73) dual language learners (DLLs) from Spanish-speaking, low-income homes who attend English-only instructional schools in the Southern region of the U.S., which is experiencing historic rates of school-age DLL enrollment. We investigated the utility of various conceptualizations of vocabulary, namely English-only, Spanish-only, and specifically Spanish-English conceptually-scored receptive vocabulary, in understanding DLLs' reading comprehension. We first examined whether a gap was evident between the various conceptualizations of vocabulary and English word reading. Then, using structural equation modeling, we investigated the influence of the various conceptualizations of vocabulary on English reading comprehension, accounting for English word reading skills. Finally, we examined the potential contributions of DLLs' home language environments. Results revealed that the gap between English word reading and vocabulary varied as a function of the conceptualization of vocabulary. Further, English word reading emerged as the robust contributor to children's English reading comprehension, with no significant influence of receptive vocabulary, regardless of how it was conceptualized. Finally, and contributing to a nascent area of research, attention to DLLs' home language use practices suggests that the productive language domain (i.e., children's own home language use) may represent an important contributor to English reading comprehension among DLLs from Spanish-speaking homes. We discuss theoretical and practical implications.

Despite focused efforts, achievement gaps remain a problem in the America's education system, especially those between students from higher and lower income families. Continued work on reducing these gaps benefits from an understanding of students' reading and math growth from typical school instruction and how growth differs based on initial proficiency, grade, and demographic characteristics. Data from 5,900 students in Grades 1-5 tested in math and reading at six points across two years were analyzed using cohort-sequential latent growth curve models to determine longitudinal growth patterns. Results indicated that students with low initial proficiency grew more quickly than students with higher proficiency. However, after two school years their achievement remained below average and well below that of students with higher initial proficiency. Demographic characteristics had small but significant effects on initial score and growth rates.

In this large-scale study of students from Title 1 schools ( = 14,773), we used multiple-group latent change score (LCS) modeling to investigate the developmental relations between vocabulary knowledge and reading comprehension in students with a school-identified learning disability (LD, = 627) and typically developing students ( = 14,146). Students were tested for their vocabulary breadth and passage comprehension skills in Kindergarten through fourth grade. For typically developing students, there were bidirectional influences between their vocabulary knowledge and reading comprehension skills. There were no cross-lagged influences across constructs for students with an LD. We find evidence for a developmental delay, such that students with an LD had similar levels and gains in their vocabulary knowledge relative to typically developing students, but these students started much lower in their reading comprehension skills and did not catch up to their typically developing peers. We discuss the implications for children with learning disabilities and the development of their reading comprehension skills.

Sex differences in the strength of the relations between mathematics anxiety, mathematics attitudes and mathematics achievement were assessed concurrently in sixth grade ( = 1,091, 545 boys) and longitudinally from sixth- to seventh-grade ( = 190, 97 boys). Mathematics anxiety was composed of two facets, one associated with evaluations and the other for learning more generally. Girls had higher mathematics anxiety for evaluations than did boys (s = -.30 to -.52), but not for mathematics learning. In sixth grade, the negative correlation between mathematical competence and mathematics anxiety for evaluations was stronger in girls than in boys. Longitudinally, higher mathematical competence in sixth grade was associated with lower mathematics anxiety for evaluations and better mathematics attitudes in seventh grade for girls but not for boys. The key finding is that adolescent girls' mathematics anxiety and their attitudes toward mathematics are more reflective of their actual mathematical competence than they are for boys. One implication is that relative to boys with low mathematics achievement, girls with low achievement are at higher risk of developing mathematics anxiety and poor attitudes toward mathematics.

Utility-value interventions, in which students complete writing assignments about the personal usefulness of course material, show great promise for promoting interest and performance in introductory college science courses, as well as persistence in STEM fields. As researchers move toward scaling up this intervention, it's important to understand which features are key to its effectiveness. For example, prior studies have used different types of utility-value assignments (i.e., self-focused essays and other-focused letters) and different assignment structures (i.e., over time, researchers provided a variety of tasks or choices between tasks), without comparing them. It is not known whether these assignment features are incidental details or key aspects of the intervention that impact its effectiveness. In the current study, we systematically compared different utility-value assignments, as well as ways of combining them, in a randomized controlled trial in an introductory college biology course ( = 590). Specifically, we compared different versions of the intervention in terms of their relative effectiveness for promoting course performance and the motivational mechanisms through which they operated. The intervention was most effective when students had opportunities to write about utility for both the self and others. Grades were higher in conditions in which students were either assigned a variety of self-focused and other-focused assignments or given the choice between the two. Among students with low performance expectations, grades were higher when students were assigned a specific combination: a self-focused assignment followed by other-focused assignments. Results suggest that different versions of the intervention may work through different mechanisms.

A wide range of occupations require science, technology, engineering, and mathematics (STEM) skills, yet almost half of students who intend to pursue a post-secondary STEM education abandon these plans before graduating from college. This attrition is especially pronounced among underrepresented groups (i.e., racial/ethnic minorities and first-generation college students). We conducted a two-year follow-up of a utility-value intervention that had been implemented in an introductory biology course. This intervention was previously shown to improve performance in the course, on average and especially among underrepresented students, reducing the achievement gap. The goal of the present study was to examine whether the intervention also impacted persistence in the biomedical track throughout college. The intervention had a more positive impact on long-term persistence for students who were more confident that they could succeed at the beginning of the course, and this effect was partially driven by the extent to which students reflected on the personal relevance of biological topics in their essays. This mechanism was distinct from the process that had been found to underlie intervention effects on performance - engagement with course material - suggesting that utility-value interventions may affect different academic outcomes by initiating distinct psychological processes. Although we did not find that the intervention was differentially effective for underrepresented students in terms of persistence, we found that positive effects on performance were associated with increased persistence for these students. Results suggest that utility-value interventions in an introductory course can be an effective strategy to promote persistence in the biomedical sciences throughout college.

Three aspects of cognition (fluid intelligence, executive functioning, and crystallized intelligence) in pre-K were examined as predictors of math and reading achievement in kindergarten among an economically diverse sample of 198 African American children. From a variable-centered perspective, confirmatory factor analysis revealed that the three aspects of cognition can be distinguished. Subsequent regression analyses indicated that only executive functioning and crystallized intelligence predicted math and reading achievement in kindergarten. From a person-centered perspective, three profiles of cognition were identified: low fluid and crystallized intelligence with average executive functioning, average abilities in all three areas, and high abilities in all three areas, but particularly higher in executive functioning. Children with low fluid and crystallized intelligence during pre-K had the lowest math and reading skills in kindergarten, whereas children with the highest cognitive skills had the highest math and reading skills in kindergarten. Together, the variable-centered and person-centered results suggest that perhaps there should be increased focus on crystallized intelligence in early education programs, policies, and interventions in addition to a focus on executive functioning.

In the present study, we compared the extent to which linguistic comprehension (vocabulary and listening comprehension) and word reading explain reading comprehension differentially for English learners (ELs) and non-ELs with reading difficulties, and we investigated whether different mechanisms of reading comprehension failure exist for each group. Using the simple view of reading as our framework, we tested a model in which vocabulary exerts a direct effect on reading comprehension and indirect effects through listening comprehension and word reading. Results from a multigroup structural equation model with a sample of 446 struggling fourth-grade readers ( = 229 for ELs; = 211 for non-ELs) demonstrated both similarities and differences in the sources and mechanisms of reading comprehension difficulties for ELs and non-ELs with reading problems. Word reading was an important source of reading comprehension difficulty for both groups. For non-ELs, the effect of word reading was larger than the effects of linguistic comprehension (vocabulary and listening comprehension combined); however, for ELs, the effects of linguistic comprehension were greater than the effect of word reading. Vocabulary had indirect effects via both listening comprehension and word reading for ELs, but it demonstrated a direct effect on reading comprehension for non-ELs. These results suggest that developing a range of linguistic comprehension skills (e.g., word-level and sentence-level language skills) may be important for ELs with reading comprehension difficulties in the upper-elementary grades.

The goal of the study was to examine whether target children's temperamental negative emotional expressivity (NEE) and effortful control in the fall of kindergarten predicted academic adjustment in the spring and whether a classmate's NEE and effortful control moderated these relations. Target children's NEE and effortful control were measured in the fall via multiple methods, academic adjustment was measured via reading and math standardized tests in the spring, and observations of engagement in the classroom were conducted throughout the year. In the fall, teachers nominated a peer with whom each target child spent the most time and rated that peer's temperament. Target children with high effortful control had high reading and math achievement (s = .04 and < .001, respectively), and children with low NEE increased in engagement during the year ( < .001). Peers' temperament did not have a direct relation to target children's academic adjustment. Peers' negative emotion, however, moderated the relation between target children's effortful control, as well as NEE, and changes in engagement (s = .03 and .05, respectively). Further, peers' effortful control moderated the relations between target children's NEE and reading and changes in engagement (s = .02 and .04, respectively). In each case, target children's temperament predicted the outcome in expected directions more strongly when peers had low NEE or high effortful control. Results are discussed in terms of how children's temperamental qualities relate to academic adjustment, and how the relation between NEE and changes in engagement, in particular, depends on peers' temperament.