Factor structure of the Friends and Family interview

The aim of this study was to specify the latent construct structure of the Friends and Family Interview (FFI: Steele & Steele, 2005) based on its dimensional scale coding protocol. The FFI is a semi-structured interview measuring attachment in middle childhood. We analyzed data from 341 FFI interviews with children aged 7–12 years, recruited in the Scandinavian Öresund Region. Exploratory Factor Analysis revealed a three-component model as best fitting the data. The first component, denoting attachment security, gathered all dimensional scales for evidence of secure base/safe haven regarding mother/father and coherence in the child’s narrative style, along with scales regarding reflective functioning, self-perception, and social functioning. The second component comprised preoccupying feelings of anger, but also derogation. The third component gathered all scales coding idealization. Inter-relations among the components were consistent with attachment theory, and respondents’ scores for all three components differed significantly across the four categorical attachment classifications. Affect regulation of negative emotion through anger and through derogation co-occurred, and was distinct from regulation through maintaining a belief that things are better than they appear (idealization). These two affect regulation strategies appeared commonly when reflective functioning, and an organized self-perception, and positive peer relations were less in evidence. The multi-dimensional FFI coding system appears to measure successfully these diverse features of the child’s narrative provided in response to the interview. Overall, our findings support the construct validity of the FFI and provide further evidence of its usefulness for assessing attachment in middle childhood and early adolescence.     

Relationship between Family Functioning and Possible Selves in Adolescents from Argentina

Abstract

The goal of this study was to analyze the relationship between different family functioning types and the content, valence, and structure of adolescents’ possible selves (PSs). Participants were adolescents (n?=?392) of both genders (female = 54.9%) from private and catholic high schools in the city of Buenos Aires, Argentina (age, M?=?14.92, SD?=?1.52). We performed a cluster analysis to explore family functioning profiles in terms of communication with parents, promotion of challenges, family cohesion, and flexibility. In order to study family functioning type and PSs content association, we performed a chi-squared test. To study family functioning type differences in PSs valence and structure we conducted a one-way MANOVA. The chi-squared test indicated that there was no significant association between family functioning type and adolescents’ PSs spontaneous content. On the other hand, the MANOVA revealed the existence of significant differences in PSs valence between each type of family functioning group. In regard to the structure of PSs, there were no significant differences between family functioning types. In conclusion, adolescents who perceived positive family functioning have more positive PSs. Family functioning type was not related to PSs content and structure.     

The relationship between executive functioning and self-regulated learning in Australian children

Executive functioning (EF) and self-regulated learning (SRL) are established predictors of academic achievement, both concurrent and future. Although it has been theorized that EF development enables SRL in early childhood, this directional model remains empirically untested against plausible alternatives. Thus, this study investigated the longitudinal relations between children’s EF and SRL during the transition from kindergarten to Year 1 in an Australian sample to determine the direction and strength of the association between EF and SRL. We compared four directional models and also tested whether EF and SRL can be construed as manifestations of a common factor. Children’s EF was assessed using a battery of tasks tapping working memory, inhibition, and shifting, and their SRL was assessed by teachers using the Checklist of Independent Learning Development. Cross-lagged structural equation modelling analyses were conducted on a longitudinal dataset of 176 children at the end of kindergarten (age M = 5 years, 8 months; SD = 4.02 months), and 1 year later (age M = 6 years, 5 months; SD = 3.65 months). EF predicted SRL longitudinally (β= .58, controlling for kindergarten SRL), consistent with common assumptions, whereas SRL did not predict EF. However, the common factor model also fit the data very well. We concluded that EF and SRL are indeed related concurrently and longitudinally but that further evidence is needed to disambiguate whether EF is best understood as a necessary antecedent of SRL development in early childhood, or whether they reflect the same general construct.     

Testing Differential Item Functioning in Small Samples

Abstract

Differential item functioning (DIF) is a pernicious statistical issue that can mask true group differences on a target latent construct. A considerable amount of research has focused on evaluating methods for testing DIF, such as using likelihood ratio tests in item response theory (IRT). Most of this research has focused on the asymptotic properties of DIF testing, in part because many latent variable methods require large samples to obtain stable parameter estimates. Much less research has evaluated these methods in small sample sizes despite the fact that many social and behavioral scientists frequently encounter small samples in practice. In this article, we examine the extent to which model complexity—the number of model parameters estimated simultaneously—affects the recovery of DIF in small samples. We compare three models that vary in complexity: logistic regression with sum scores, the 1-parameter logistic IRT model, and the 2-parameter logistic IRT model. We expected that logistic regression with sum scores and the 1-parameter logistic IRT model would more accurately estimate DIF because these models yielded more stable estimates despite being misspecified. Indeed, a simulation study and empirical example of adolescent substance use show that, even when data are generated from / assumed to be a 2-parameter logistic IRT, using parsimonious models in small samples leads to more powerful tests of DIF while adequately controlling for Type I error. We also provide evidence for minimum sample sizes needed to detect DIF, and we evaluate whether applying corrections for multiple testing is advisable. Finally, we provide recommendations for applied researchers who conduct DIF analyses in small samples.     

Sad mood,emotion regulation,and response inhibition

ABSTRACT

Affect-as-information models, resource allocation models, and arousal biased competition theory predict different effects of mood on cognition. To test these theories, this study examines the effect of sad mood on response inhibition (RI) and whether emotion dysregulation impacts this potential relationship. Participants were 273 undergraduates who wrote about either a typical day or a sad event from their life. They self-reported mood and emotion regulation difficulties, and RI was a composite score of Colour-Word Stroop, Stop-Signal, and go/no-go computerised tasks. The intensity of self-reported sad mood did not affect RI as predicted, but those who wrote about sad events had worse RI. Worse emotion regulation also predicted worse RI. Cognitive loads, rumination, and mind-wandering are discussed as possible mechanisms. Findings are extended from well-established areas such as working memory to the less-established area of RI.     

Association between the arginine vasopressin receptor 1A (AVPR1A) gene and preschoolers’ executive functioning

Recent evidence implicates the arginine vasopressin (AVP) system in complex neuropsychological disorders which are characterized by deficits in executive functioning (EF). Despite the genetic contribution to EF, little is currently known about its molecular genetic basis. Drawing on research from social neuroscience and the role of related physiological systems in psychopathology, the current study hypothesized that variability in the AVP receptor 1a gene (AVPR1A) would be associated with EF in an epidemiological sample of 323 normally developing preschool-aged children. Using a family-based association design, the current study found that variability in the rs7298346 marker, located in the 5′-flanking region, was significantly related to a composite measure of EF in 4-year-old children after controlling for a variety of covariates and children’s theory of mind. The converse association between AVPR1A and theory of mind (after controlling for EF) was not significant, suggesting a level of specificity in this relationship. The results are discussed in terms of the difficulties faced by genetic association studies in teasing apart the behavioral phenotypes that characterize complex psychological diseases and the involvement of multiple physiological systems in human behavior.     

Mother-Blaming and Clinical Theory

No abstract available for this article.