Is spoken duration a sufficient explanation of the word length effect?

The word length effect is one of the cornerstones of trace decay plus rehearsal models (TDR) of memory. Words of long spoken duration take longer to rehearse than words of short spoken duration and as such suffer more decay and are thus less well recalled. The current experiment manipulates both syllable length and spoken duration within words of fixed syllable length in an aim to test the assumptions of the TDR model. Our procedures produced robust effects of both syllable length and spoken duration in four measures of the time it takes to pronounce the different types of words. Serial recall for the same materials produced robust syllable effects, but no duration effects.     

In search of average growth: Describing within-year oral reading fluency growth across Grades 1–8

Measures of oral reading fluency (ORF) are perhaps the most often used assessment to monitor student progress as part of a response to intervention (RTI) model. Rates of growth in research and aim lines in practice are used to characterize student growth; in either case, growth is generally defined as linear, increasing at a constant rate. Recent research suggests ORF growth follows a nonlinear trajectory, but limitations related to the datasets used in such studies, composed of only three testing occasions, curtails their ability to examine the true functional form of ORF growth. The purpose of this study was to model within-year ORF growth using up to eight testing occasions for 1448 students in Grades 1 to 8 to assess (a) the average growth trajectory for within-year ORF growth, (b) whether students vary significantly in within-year ORF growth, and (c) the extent to which findings are consistent across grades. Results demonstrated that for Grades 1 to 7, a quadratic growth model fit better than either linear or cubic growth models, and for Grade 8, there was no substantial, stable growth. Findings suggest that the expectation for linear growth currently used in practice may be unrealistic.     

Emotional intelligence, personality, and task-induced stress

Emotional intelligence (EI) may predict stress responses and coping strategies in a variety of applied settings. This study compares EI and the personality factors of the Five Factor Model (FFM) as predictors of task-induced stress responses. Participants (N = 200) were randomly assigned to 1 of 4 task conditions, 3 of which were designed to be stressful. Results confirmed that low EI was related to worry states and avoidance coping, even with the FFM statistically controlled. However, EI was not specifically related to task-induced changes in stress state. Results also confirmed that Neuroticism related to distress, worry, and emotion-focused coping, and Conscientiousness predicted use of task-focused coping. The applied utility of EI and personality measures is discussed.     

The cycle of schizoaffective disorder, cognitive ability, alcoholism, and suicidality

In this study we investigated the putative role of cognitive dysfunction, diagnosis (schizoaffective versus schizophrenia disorder), and alcoholism as risk factors for suicidal behavior among individuals with DSM-TV schizophrenia or schizoaffective disorders. Subjects received cognitive tests and medical records were reviewed for evidence of a history of suicide attempts or suicidal ideation. Discriminant analysis was used to identify cognitive test performance measures that distinguished those with versus those without suicidal behavior. None of the cognitive measures discriminated between the two groups. The rates of suicidal behavior (suicidal ideation and suicide attempts) did not differ between participants with versus those without comorbid alcohol use. An association was found between suicidal behavior and the diagnosis of schizoaffective disorder. It was concluded that the history of prominent mood syndromes characteristic of schizoaffective disorder contributes to increased risk of suicidal behaviors. Cognitive dysfunction and/or alcoholism did not contribute additionally to risk in this study.     

Toward a comprehensive model of antisocial development: a dynamic systems approach

The purpose of this article is to develop a preliminary comprehensive model of antisocial development based on dynamic systems principles. The model is built on the foundations of behavioral research on coercion theory. First, the authors focus on the principles of multistability, feedback, and nonlinear causality to reconceptualize real-time parent-child and peer processes. Second, they model the mechanisms by which these real-time processes give rise to negative developmental outcomes, which in turn feed back to determine real-time interactions. Third, they examine mechanisms of change and stability in early- and late-onset antisocial trajectories. Finally, novel clinical designs and predictions are introduced. The authors highlight new predictions and present studies that have tested aspects of the model