The priming of word associations: A levels-of-processing approach

Four experiments are reported in which the magnitude of the associative-priming effect is manipulated by varying both the experimental task and the conditions within a given task. The between-task manipulation involved a comparison of priming effects in length categorization on the one hand and lexical decision on the other. The within-task manipulation involved varying the type of letter strings presented as the nonword stimuli in lexical decisions. Pseudowords and two types of orthographically illegal letter strings—namely, consonant strings and random letter strings—served as nonwords. Finally, the effect of varying the proportion of pseudowords to illegal nonwords across four sets of experimental materials was investigated. On the whole, these within-and between-task manipulations turned out to be very effective ways of affecting the size of the associative-priming effect. Also, the size of the lexicality effect (the difference between the RTs to word and nonword stimuli) varied systematically with these within-and between-task manipulations. The results are discussed in relation to both Shulman and Davison's (1977) parallel-processing model and Balota and Chumbley's (1984) account of lexical decision.     

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.

     

The yellow brick road and the emerald city: benefit finding, positive reappraisal coping and posttraumatic growth in women with early-stage breast cancer.

Predictors and outcomes of benefit finding, positive reappraisal coping, and posttraumatic growth were examined using interviews and questionnaires from a longitudinal study of women with early-stage breast cancer followed from primary medical treatment completion to 3 (n=92) and 12 months (n=60) later. Most women (83%) reported at least 1 benefit of their breast cancer experience. Benefit finding (i.e., identification of benefits, number of benefits), positive reappraisal coping, and posttraumatic growth had distinct significant predictors. Positive reappraisal coping at study entry predicted positive mood and perceived health at 3 and 12 months and posttraumatic growth at 12 months, whereas benefit finding did not predict any outcome. Findings suggest that benefit finding, positive reappraisal coping, and posttraumatic growth are related, but distinct, constructs.