UPDATING AND BROADENING THE USE OF SINGLE SUBJECT DESIGNS IN READING

Single subject designs, developed in clinical settings, are currently being used for diagnosis and instruction in schools. Three of these designs are useful in diagnosing student problems and in measuring the effectiveness of specific interventions. The designs can be used to graph individual or small group progress. Moreover, each is selected on the basis of the type of learning task that the teacher deems appropriate. If the rules of each design are followed, the teacher can obtain instructionally relevant information and keep precise records. These designs present substantial evidence that can be used in assessment, instruction, and evaluation of individual students, intervention strategies, and curricula.     

Side Streets and U-Turns: Effects of Context Switching,Direction Switching,and Factor Switching on Interitem Correlations and Misresponse Rates

This study tested implications of the context switching perspective proposed by Hamby, Ickes, and Babcock (2016 Hamby, T., Ickes, W., &; Babcock, M. (2016). Evidence for context switching in the effects of average item length and item-length variability on internal consistency. Journal of Personality Assessment, 98, 491–502. doi:10.1080/00223891.2016.1147044[Taylor &; Francis Online], [Web of Science ®] , [Google Scholar]). Using trained raters to assess the amount of reframing required to interpret the meaning of the subsequent (second) item within all adjacent item pairs, we first established that this process variable could be measured reliably. Then, in the data for 18 personality measures drawn from 3 individual-difference domains, we found that the amount of reframing (i.e., context switching) needed to interpret successive items predicted both lower interitem correlations and a greater percentage of misresponders. Similarly, item pairs that were mismatched in “directional” wording also predicted both lower interitem correlations and more misresponders. Finally, item pairs representing different factors predicted lower interitem correlations. Although the effects of direction switching and factor switching were partially mediated by the amount of reframing required, they remained significant even when the mediating effect of reframing was statistically controlled. These results indicate that interpreting the meaning of test items is a task for which the level of difficulty can vary with each successive item, as a function of how the current item compares to the previous item in aspects such as its context generality or specificity, directional wording, and content domain.     

Follow Your Heart: Could Psychophysiology Be Associated with Political Discussion Network Homogeneity?

Most Americans are sorted into social networks that are largely politically homogeneous. A large body of political science research has explored the behavioral implications of being embedded in a politically homogeneous or heterogeneous network, but substantially less attention has been given to explaining why some people find themselves in politically homogeneous or heterogeneous social networks. In this article, we explore the psychological and physiological underpinnings of political network homogeneity. We use social network data from an original survey of 129 undergraduates paired with lab experimental evidence that measures individuals' physiological reactivity to an anticipated political discussion. Using our original survey and a separate nationally representative survey, we find suggestive evidence that individuals who are more socially anxious are more likely to share partisanship with their social network ties. Moreover, we find that individuals who experienced a greater increase in heart rate when anticipating a political discussion were more likely to be in homogeneous discussion networks, but we do not find a relationship between electrodermal activity and network homogeneity. Aversion to psychological and physiological discomfort induced by political discussions could contribute to social polarization in the American public.     

Quantifying latent social motivation and its associations with joint attention and language in infants at high and low likelihood for autism spectrum disorder

Social motivation—the psychobiological predisposition for social orienting, seeking social contact, and maintaining social interaction—manifests in early infancy and is hypothesized to be foundational for social communication development in typical and atypical populations. However, the lack of infant social-motivation measures has hindered delineation of associations between infant social motivation, other early-arising social abilities such as joint attention, and language outcomes. To investigate how infant social motivation contributes to joint attention and language, this study utilizes a mixed longitudinal sample of 741 infants at high (HL = 515) and low (LL = 226) likelihood for ASD. Using moderated nonlinear factor analysis (MNLFA), we incorporated items from parent-report measures to establish a novel latent factor model of infant social motivation that exhibits measurement invariance by age, sex, and familial ASD likelihood. We then examined developmental associations between 6- and 12-month social motivation, joint attention at 12–15 months, and language at 24 months of age. On average, greater social-motivation growth from 6–12 months was associated with greater initiating joint attention (IJA) and trend-level increases in sophistication of responding to joint attention (RJA). IJA and RJA were both positively associated with 24-month language abilities. There were no additional associations between social motivation and future language in our path model. These findings substantiate a novel, theoretically driven approach to modeling social motivation and suggest a developmental cascade through which social motivation impacts other foundational skills. These findings have implications for the timing and nature of intervention targets to support social communication development in infancy.

Highlights

• We describe a novel, theoretically based model of infant social motivation wherein multiple parent-reported indicators contribute to a unitary latent social-motivation factor.
• Analyses revealed social-motivation factor scores exhibited measurement invariance for a longitudinal sample of infants at high and low familial ASD likelihood.
• Social-motivation growth from ages 6–12 months is associated with better 12−15-month joint attention abilities, which in turn are associated with greater 24-month language skills.
• Findings inform timing and targets of potential interventions to support healthy social communication in the first year of life.