Intergenerational transmission of adaptive functioning: a test of the interactionist model of SES and human development

The interactionist model (IM) of human development (R. D. Conger & M. B. Donellan, 2007) proposes that the association between socioeconomic status (SES) and human development involves a dynamic interplay that includes both social causation (SES influences human development) and social selection (individual characteristics affect SES). Using a multigenerational data set involving 271 families, the current study finds empirical support for the IM. Adolescent personality characteristics indicative of social competence, goal-setting, hard work, and emotional stability predicted later SES, parenting, and family characteristics that were related to the positive development of a third-generation child. Processes of both social selection and social causation appear to account for the association between SES and dimensions of human development indicative of healthy functioning across multiple generations.     

A longitudinal examination of African American adolescents' attributions about achievement outcomes

Developmental, gender, and academic domain differences in causal attributions and the influence of attributions on classroom engagement were explored longitudinally in 115 African American adolescents. In Grades 8 and 11, adolescents reported attributions for success and failure in math, English and writing, and science. In Grade 11, English and mathematics teachers rated students' classroom engagement. Boys were more likely than girls to attribute math successes to high ability and to attribute English failures to low ability. Both genders' ability attributions for math became more negative from eighth to eleventh grades. Grade 8 attributions of math failure to lack of ability were negatively related to Grade 11 math classroom engagement. Results illustrate the gendered nature of motivational beliefs among Black youth.     

Can Children With Autism Spectrum Disorders “Hear” a Speaking Face?

This study used eye-tracking methodology to assess audiovisual speech perception in 26 children ranging in age from 5 to 15 years, half with autism spectrum disorders (ASD) and half with typical development. Given the characteristic reduction in gaze to the faces of others in children with ASD, it was hypothesized that they would show reduced influence of visual information on heard speech. Responses were compared on a set of auditory, visual, and audiovisual speech perception tasks. Even when fixated on the face of the speaker, children with ASD were less visually influenced than typical development controls. This indicates fundamental differences in the processing of audiovisual speech in children with ASD, which may contribute to their language and communication impairments.     

Examining the accuracy of teachers' judgments of DIBELS performance

The purpose of this investigation was to examine the accuracy of teachers' judgments of students' early literacy skills and to determine if students' achievement levels influenced teachers' judgments. Typical and lower‐achieving kindergarten and first‐grade students' scores on the Nonsense Word Fluency and Phoneme Segmentation Fluency measures of the Dynamic Indicators of Basic Early Literacy Skills (DIBELS) were compared to the predicted performance by their teachers. Results showed a moderately strong correlation between teachers' judgments and students' performance across all of the students, which is consistent with past research. Teachers' judgments, however, consistently and significantly overestimated the actual performance of students, particularly those who were typically performing students. The findings of the investigation suggest that relying on teachers' judgments of students' early literacy skills alone may be insufficient to accurately identify students at risk for reading difficulties. © 2011 Wiley Periodicals, Inc.     

The impact of a peer-tutoring program on quality standards in higher education

The purposes of this study were, on one had, to determine the impact of a peer tutoring program on preventing academic failure and dropouts among first-year students (N = 100), from Civil Engineering, Economics, Pharmacy, and Chemical Engineering careers; while, on the other hand, to identify the potential benefits of such tutoring program on the cognitive and metacognitive learning strategies and social skills of student mentors in their last year of studies or already in a postgraduate program (N = 41) at the University of Granada (Spain). After building and selecting the measurement instruments necessary to gather demographic and academic relevant information on both samples, and assigning first-year students to either an experimental or control group, the intervention consisted of ten 90-min tutoring sessions during the first semester lead by student tutors who, in turn, had undergone four 3-h training sessions on tutoring contents like planning and time management, cognitive and metacognitive learning strategies, motivational strategies and the use of materials designed ad hoc for this program. The results show differences in favour of the treatment group on grade point average, performance rate, success rate and learning strategies and, also, statistically significant pre-post differences for the tutors on learning strategies and social skills.     

Problem-based learning and argumentation: testing a scaffolding framework to support middle school students’ creation of evidence-based arguments

Students engaged in problem-based learning (PBL) units solve ill-structured problems in small groups, and then present arguments in support of their solution. However, middle school students often struggle developing evidence-based arguments (Krajcik et al., J Learn Sci 7:313–350, 1998). Using a mixed method design, the researchers examined the use of computer-based argumentation scaffolds, called the Connection Log, to help middle school students build evidence-based arguments. Specifically we investigated (a) the impact of computer-based argumentation scaffolds on middle school students’ construction of evidence-based arguments during a PBL unit, and (b) scaffold use among members of two small groups purposefully chosen for case studies. Data sources included a test of argument evaluation ability, persuasive presentation rating scores, informal observations, videotaped class sessions, and retrospective interviews. Findings included a significant simple main effect on argument evaluation ability among lower-achieving students, and use of the scaffolds by the small groups to communicate and keep organized.     

Neurocognitive predictors of reading outcomes for children with reading disabilities

This study reports on several specific neurocognitive process predictors of reading outcomes for a sample of 278 children with reading disabilities. Three categories of response (i.e., poor, average, and good) were formed via growth curve models of six reading outcomes. Two nested discriminant function analyses were conducted to evaluate the predictive capability of the following models: (a) an intervention and phonological processing model that included intervention group, phonological awareness, and rapid naming and (b) an additive cognitive neuropsychological model that included measures of memory, visual processes, and cognitive or intellectual functioning. Over and above the substantial explanatory power of the base model, the additive model improved classification of poor and good responders. Several of the cognitive and neuropsychological variables predicted degree of reading outcomes, even after controlling for type of intervention, phonological awareness, and rapid naming.     

Forensic child sexual abuse evaluations: assessing subjectivity and bias in professional judgements

Objectives

Evaluators examining the same evidence often arrive at substantially different conclusions in forensic assessments of child sexual abuse (CSA). This study attempts to identify and quantify subjective factors that contribute to such disagreements so that interventions can be devised to improve the reliability of case decisions.

Methods

Participants included 1106 professionals in the field of child maltreatment representing a range of professional positions or job titles and years of experience. Each completed the Child Forensic Attitude Scale (CFAS), a 28-item survey assessing 3 forensic attitudes believed to influence professional judgments about CSA allegations: emphasis-on-sensitivity (i.e., a focus on minimizing false negatives or errors of undercalling abuse); emphasis-on-specificity (i.e., a focus on minimizing false positives or errors of overcalling abuse); and skepticism toward child and adolescent reports of CSA. A subset of 605 professionals also participated in 1 of 3 diverse decision exercises to assess the influence of the 3 forensic attitudes on ratings of case credibility.

Results

Exploratory factor analysis identified 4 factors or attitude subscales that corresponded closely with the original CFAS scales: 2 subscales for emphasis-on-sensitivity and 1 each for emphasis-on-specificity and skepticism. Attitude subscale scores differed significantly by sample source (in-state trainings vs. national conferences), gender, years of experience, and professional position, with Child Protective Service workers unexpectedly more concerned about overcalling abuse and more skeptical of child disclosures than other professionals—a pattern of scores associated with an increased probability of disbelieving CSA allegations. The 3 decision exercises offered validation of the attitude subscales as predictors of professional ratings of case credibility, with adjusted R²s for the three exercises ranging from .06 to .24, suggesting highly variable effect sizes.

Conclusions

Evaluator disagreements about CSA allegations can be explained, in part, by individual differences in 3 attitudes related to forensic decision-making: emphasis-on-sensitivity, emphasis-on-specificity, and skepticism toward child reports of abuse. These attitudes operate as predispositions or biases toward viewing CSA allegations as likely true or likely false. Several strategies for curbing the influence of subjective factors are highlighted including self-awareness of personal biases and team approaches to assessment.