A Parallel Process Growth Curve Analysis of Teacher-Student Relationships and Academic Achievement.

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.

Do Cognitive-Achievement Relations Vary by General Ability Level?

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.

A longitudinal examination of parallel growth and reciprocal changes in teacher-student relationships and academic achievement.

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).

Examination of differential effects of cognitive abilities on reading and mathematics achievement across race and ethnicity: Evidence with the WJ IV.

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.

Language used in school psychological evaluation reports as predictors of SLD identification within a response to intervention model.

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).

Neurodiversity and Intelligence: Evaluating the Flynn Effect in Children with Autism Spectrum Disorder.

The Flynn Effect (FE) among child and adolescent populations indicates that intelligence scores improve by about three points per decade. Using nine years of data from the National Database for Autism Research, this study examined whether general intelligence changed significantly for nine cohorts with autism spectrum disorder (ASD; N = 671). Analyses demonstrated a downward trend such that Cohen's d from 1998 to 2006 was - 0.27. The mean IQ is 92.74 for years 1-3, 91.54 for years 4-6, and 87.34 for years 7-9, indicating a reverse FE of 5.4 points per decade. A linear regression revealed a significant negative FE comparable to the positive effect of age on IQ among those with ASD. Implications for research, practice, and law are discussed.

The role of teachers' self-efficacy beliefs in the development of teacher-student relationships.

Prior literature has suggested that teachers who are confident in their abilities to teach, assess, and manage classroom behavior may be more likely to engage in practices that lead to supportive and secure relationships with students. The current study investigated the trajectories of teacher-student relationships, examining the extent that teacher self-efficacy beliefs predicted ratings of conflict and closeness for 885 students from second to sixth grade. The trends of teacher-student closeness and conflict were modeled using a parallel curve of factors approach, controlling for student demographics and teacher-student racial and gender alignment prior to examining the extent that teacher self-efficacy beliefs influenced closeness and conflict across grades. Results from the parallel trajectories suggested that teacher-student conflict was stable from second to sixth grade, whereas teacher-student closeness demonstrated a declining curvilinear trend. The relationship between teacher-student conflict and closeness suggests that students with relatively high levels of conflict in second grade were likely to exhibit sharper declines in closeness over time. Across grades, teachers rated closer and less conflictual relationships with females but after controlling for gender and race (ß = 0.083-0.328 for closeness; ß = -0.118 to -0.238 for conflict), teacher-student racial and gender alignment associations with teacher-student relationship quality were less consistent. Teachers who reported higher self-efficacy beliefs were more likely to report higher ratings of closeness and lower ratings of conflict with students across all grades (ß = 0.195-0.280 for closeness; ß = -0.053 to -0.097 for conflict). These findings contribute to the literature regarding the role of teacher self-efficacy in teacher-student relationships. We discuss how teacher self-efficacy beliefs can be developed and leveraged to improve relationship quality in the classroom from a social cognitive perspective.

An examination of the relationships between specific learning disabilities identification and growth rate, achievement, cognitive ability, and student demographics.

Students with specific learning disabilities (SLDs) represent a large proportion of those receiving special education services in U.S. schools, but the relationship between student-level variables and SLD identification is still not well understood. The purpose of this study was to examine the extent to which data collected as part of a comprehensive psychoeducational evaluation were associated with SLD identification status. Logistic regression analyses were used to examine how response to intervention (RtI) slope (i.e., growth rate), academic achievement, global cognitive ability, and demographic variables (i.e., race/ethnicity, gender, and free/reduced-price lunch [FRL] status) were related to SLD identification. Academic achievement (B = -0.13, OR = 0.88), race/ethnicity (B = -1.35, OR = 0.26; 0 = white student, 1 = student of color), and FRL (B = 0.94, OR = 2.57) were related to SLD status, but global cognitive ability and RtI slope were not, even though the RtI method was reported to be used during the special education decision-making process. Implications for practice, particularly related to the use of RtI, are discussed. (PsycInfo Database Record (c) 2020 APA, all rights reserved).

Cognitive ability and math computation developmental relations with math problem solving: An integrated, multigroup approach.

Individual differences in Cattell-Horn-Carroll (CHC) cognitive abilities are related to individual differences in math problem solving. However, it is less clear whether cognitive abilities are associated with math problem solving directly or indirectly via math component skills and whether these relations differ across grade levels. We used multigroup structural equation models to examine direct and indirect CHC-based cognitive ability relations with math problem solving across six grade-level groups using the Kaufman Assessment Battery for Children, Second Edition and the Kaufman Tests of Educational Achievement, Second Edition co-normed standardization sample data (N = 2,117). After testing factorial invariance of the cognitive constructs across grade levels, we assessed whether the main findings were similar across higher-order and bifactor models. In the higher-order model, the Crystallized Ability, Visual Processing, and Short-Term Memory constucts had direct and indirect relations with math problem solving, whereas the Learning Efficiency and Retrieval Fluency constructs had only indirect relations with math problem solving via math computation. The integrated cognitive ability and math achievement relations were generally consistent across the CHC models of intelligence. In the higher-order model, the g factor operated indirectly on math computation and math problem solving, whereas in the bifactor model, the first-order G factor had direct relations with math computation and math problem solving. In both models, g/G was the most consistent and largest cognitive predictor of math skills. Last, the relation of math computation with math problem solving increased as grade level increased. Theoretical implications for math development and considerations for school psychologists are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Cognitive ability influences on written expression: Evidence for developmental and sex-based differences in school-age children.

Some studies have demonstrated that the Cattell-Horn-Carroll (CHC) cognitive abilities influence writing; however, little research has investigated whether CHC cognitive abilities influence writing the same way for males and females across grades. We used multiple group structural equation models to investigate whether CHC cognitive ability influences on written expression differed between grades or sex using the Kaufman Assessment Battery for Children, Second Edition and the Kaufman Tests of Educational Achievement, Second Edition co-normed standardization sample data (N=2117). After testing for consistent measurement of cognitive abilities across grades and sex, we tested whether the cognitive ability influences on written expression were moderated by grade level or sex. An important developmental shift was observed equally across sex groups: Learning Efficiency (Gl) influences decreased whereas Crystallized Ability (Gc) influences increased after fourth grade. Further, Short-Term Memory (Gsm) and Retrieval Fluency (Gr) influences on written expression depended on sex at grades 1-4, with larger Gr influences for females and larger Gsm influences for males. We internally replicated our main findings using two different cognitive explanatory models, adding further support for the developmental and sex-based differential cognitive ability influences on writing. Explanatory cognitive models of writing need to incorporate development, and possibly, sex to provide an expanded understanding of writing development and guard against potential generalizability issues characteristic of special population (i.e., male-female) studies.

Teacher-student relationship quality and academic achievement in elementary school: A longitudinal examination of gender differences.

Multiple group longitudinal cross-lagged panel models were implemented to understand the directional influences between teacher-student closeness and conflict and measured math and reading achievement across elementary grades and gender groups using the National Institute of Child Health and Human Development longitudinal sample (N=1133). Specifically, after testing multiple group longitudinal measurement invariance to ensure consistent measurement across genders and time, and tests of equivalence of the latent parameters, we were interested in whether longitudinal changes in teacher-rated closeness and conflict explained longitudinal changes in achievement, and vice versa, and whether those longitudinal influences varied by gender. Latent teacher-student closeness decreased for both genders over time (Cohen's d=-0.15 to -0.32), but latent conflict increased for males (Cohen's d=0.16). There was also increased heterogeneity in teacher-student relationship quality for males relative to females. Math and reading achievement had medium reciprocal effects (ß=0.12 to 0.23), and previous math achievement had small to medium effects on subsequent teacher-student closeness (ß=0.08 to 0.11) and conflict (ß=-0.07 to -0.09). Teacher-student conflict and closeness did not influence subsequent levels of math or reading achievement once previous levels were controlled. Further, these influences were consistent across gender groups despite latent differences in teacher-student closeness and conflict with teachers reporting closer relationships with female students and more conflictual relationships with male students.

What Does the Shipley-2 Measure for Children and Adolescents? Integrated and Conjoint Confirmatory Factor Analysis With the WISC-IV.

We used integrated and conjoint confirmatory factor analysis of Shipley-2 and Wechsler Intelligence Scale for Children-Fourth Edition (WISC-IV) data to investigate constructs measured in the Shipley-2 for children and adolescents. We also estimated Shipley-2 composite reliability at the subtest level rather than the item level. The three Shipley-2 subtests for the most part measured what was described in the manual, although Block Patterns measured visual spatial ability in addition to fluid ability and Abstraction was best considered a measure of psychometric g. The g factors derived from the WISC-IV and Shipley-2 were similar but not identical. Internal reliability estimates for Shipley-2 composites that were based on correlations between the subtests were substantially lower than those based on the items. Last, based on WISC-IV derived g factors, 37% to 53% of the variance in Shipley-2 composites was explained by g. Some of the reliable variance in the Shipley-2 composites was due to something specific that the subtests had in common not explained by psychometric g.

Gender Differences in Academic Achievement: Is Writing an Exception to the Gender Similarities Hypothesis?

The gender similarities hypothesis by J. S. Hyde ( 2005 ), based on large-scale reviews of studies, concludes that boys and girls are more alike than different on most psychological variables, including academic skills such as reading and math (J. S. Hyde, 2005 ). Writing is an academic skill that may be an exception. The authors investigated gender differences in academic achievement using a large, nationally stratified sample of children and adolescents ranging from ages 7-19 years (N = 2,027). Achievement data were from the conormed sample for the Kaufman intelligence and achievement tests. Multiple-indicator, multiple-cause, and multigroup mean and covariance structure models were used to test for mean differences. Girls had higher latent reading ability and higher scores on a test of math computation, but the effect sizes were consistent with the gender similarities hypothesis. Conversely, girls scored higher on spelling and written expression, with effect sizes inconsistent with the gender similarities hypothesis. The findings remained the same after controlling for cognitive ability. Girls outperform boys on tasks of writing.