Callous-Unemotional Traits and Co-occurring Anxiety in Preschool and School-age Children: Investigation of Associations with Family's Socioeconomic Status and Home Chaos.

While contemporary literature has traditionally viewed youth with Callous-Unemotional (CU) traits as a homogeneous group, there is a growing interest in delineating two variants of CU traits based on high or low levels of anxiety. Extensive attention has been brought in the CU traits literature to the study of relational factors such as maltreatment and parenting practices. However, very few studies have looked at other environmental contexts in which the children within these two variants evolve, such as home chaos or socioeconomic status (SES). In a community sample of children aged 4 to 9, divided into a preschool sample (N = 107; Mage = 4.95, SD = 0.62) and a school-age sample (N = 153; Mage = 7.49, SD = 1.11), the current study investigated whether anxiety moderates the associations of CU traits with SES and home chaos. Hierarchical regression analyses revealed that CU traits were positively associated with home chaos, regardless of anxiety levels. CU traits were negatively associated with SES, but this effect emerged only at high levels of anxiety. Notably, these findings were observed solely in the school-age subsample. Implications for understanding the two variants of CU traits (i.e., primary and secondary) and hypotheses regarding their developmental trajectories are discussed.

Primary and Secondary Variants of Callous-Unemotional Traits in Early and Middle Childhood: Distinction, Evaluation and Empathic Differences.

Current literature demonstrates the relevance of considering two variants of CU traits based on high or low levels of anxiety. However, there is limited information about these variants in young community samples. The current study used cluster analyses to investigate the primary and the secondary variants of CU traits in two samples of children: preschool (N = 107; Mage = 4.95, SD = 0.62) and school-age (N = 153; Mage = 7.49, SD = 1.11). The identified clusters were compared on empathic dimensions, aggressive behavior and criteria from the "with limited prosocial emotions" specifier from the DSM-V. The primary variant was identified as early as preschool age while the secondary variant was only identified in the school-age sample. In this latter sample, the two variants did not differ on assessed variables, except for aggressive behavior. Despite the similarities between the two variants, these results suggest distinct developmental trajectories.

Factorial Structure of the Parent-Reported Version of the Inventory of Callous-Unemotional Traits Among Belgian Children: A Theory-Based Model.

The factorial structure of the Inventory of Callous-Unemotional traits (ICU) is still under debate in the current literature and the published models are predominantly based on the empirical results of the statistical analyses rather than on a strong theoretical background. Aimed at overcoming these limits, the current study examined a factorial structure initiated by a theoretical framework for the parent-version of the ICU, based on a community sample of Belgian children aged 3-9 (N = 437; M age = 5.59; 54.7% boys). Further, the current study investigated measurement invariance across age and gender, and the external validity of this structure. Confirmatory factor analysis (CFA) indicated that empirical factor models from the current literature demonstrated a relatively poor fit to the data. Alternative models were built based on theory, specifically criteria from the DSM-V specifier "with limited prosocial emotions." CFA supported an 18-item second order model with three first order factors (Lack of conscience, Unconcern about performance, Lack of emotional expression), a second order latent factor (General dimension of CU traits) and a methodological factor encompassing negatively worded items. Results supported measurement invariance across child gender, and to a lesser extent across age. As expected, the general dimension correlated with measures of aggressive behavior, attention problems, internalizing behavior and empathy. The Lack of emotional expression subfactor showed a different pattern of associations in comparison to the two other subfactors. The implications of these findings are discussed, specifically in relation to the DSM-V LPE specifier.

Plausible values: how to deal with their limitations.

Rasch modeling and plausible values methodology were used to scale and report the results of the Organization for Economic Cooperation and Development's Programme for International Student Achievement (PISA). This article will describe the scaling approach adopted in PISA. In particular it will focus on the use of plausible values, a multiple imputation approach that is now commonly used in large-scale assessment. As with all imputation models the plausible values must be generated using models that are consistent with those used in subsequent data analysis. In the case of PISA the plausible value generation assumes a flat linear regression with all students' background variables collected through the international student questionnaire included as regressors. Further, like most linear models, homoscedasticity and normality of the conditional variance are assumed. This article will explore some of the implications of this approach. First, we will discuss the conditions under which the secondary analyses on variables not included in the model for generating the plausible values might be biased. Secondly, as plausible values were not drawn from a multi-level model, the article will explore the adequacy of the PISA procedures for estimating variance components when the data have a hierarchical structure.

The computation of equating errors in international surveys in education.

Since the IEA's Third International Mathematics and Science Study, one of the major objectives of international surveys in education has been to report trends in achievement. The names of the two current IEA surveys reflect this growing interest: Trends in International Mathematics and Science Study (TIMSS) and Progress in International Reading Literacy Study (PIRLS). Similarly a central concern of the OECD's PISA is with trends in outcomes over time. To facilitate trend analyses these studies link their tests using common item equating in conjunction with item response modelling methods. IEA and PISA policies differ in terms of reporting the error associated with trends. In IEA surveys, the standard errors of the trend estimates do not include the uncertainty associated with the linking step while PISA does include a linking error component in the standard errors of trend estimates. In other words, PISA implicitly acknowledges that trend estimates partly depend on the selected common items, while the IEA's surveys do not recognise this source of error. Failing to recognise the linking error leads to an underestimation of the standard errors and thus increases the Type I error rate, thereby resulting in reporting of significant changes in achievement when in fact these are not significant. The growing interest of policy makers in trend indicators and the impact of the evaluation of educational reforms appear to be incompatible with such underestimation. However, the procedure implemented by PISA raises a few issues about the underlying assumptions for the computation of the equating error. After a brief introduction, this paper will describe the procedure PISA implemented to compute the linking error. The underlying assumptions of this procedure will then be discussed. Finally an alternative method based on replication techniques will be presented, based on a simulation study and then applied to the PISA 2000 data.