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Because variables may be correlated in the social and behavioral sciences, multicollinearity might be problematic. This study investigates the effect of collinearity manipulated in within and between levels of a two-level confirmatory factor analysis by Monte Carlo simulation. Furthermore, the influence of the size of the intraclass correlation coefficient (ICC) and estimation method; maximum likelihood estimation with robust chi-squares and standard errors and Bayesian estimation, on the convergence rate are investigated. The other variables of interest were rate of inadmissible solutions and the relative parameter and standard error bias on the between level. The results showed that inadmissible solutions were obtained when there was between level collinearity and the estimation method was maximum likelihood. In the within level multicollinearity condition, all of the solutions were admissible but the bias values were higher compared with the between level collinearity condition. Bayesian estimation appeared to be robust in obtaining admissible parameters but the relative bias was higher than for maximum likelihood estimation. Finally, as expected, high ICC produced less biased results compared to medium ICC conditions.

Item does not contain fulltext Previous research has shown limited efficacy of nicotine replacement therapy (NRT) among adolescents and generally low compliance rates. As higher compliance rates are associated with improved abstinence rates, the present study examined predictors of NRT compliance. This study aims to test whether different NRT compliance trajectories can be distinguished among adolescents, to test whether these trajectories can be predicted by demographic, smoking-related, and personality factors, and to examine abstinence rates for each trajectory. Data were used from a randomized controlled trial that tested the efficacy of nicotine patches versus placebo patches among 265 Dutch adolescents. During NRT treatment, adolescents filled out six online questionnaires in which they reported on the number of days they used the patches. Predictors (i.e., demographic and smoking-related factors and personality characteristics) and end-of-treatment abstinence were also administered through these self-reports. Latent class growth analysis (LCGA) was used to analyze compliance data by classifying individuals into similar growth trajectories. Three compliance trajectories were found (i.e., "compliers" (n = 89), "moderate decreasers" (n = 41), and "strong decreasers" (n = 127)). The compliers can be characterized by higher levels of conscientiousness and agreeableness and lower levels of extraversion compared with the strong decreasers, and by higher levels of conscientiousness and education compared with the moderate decreasers. Among the compliers, a substantially higher percentage of adolescents achieved abstinence at end-of-treatment (10 %) compared with the moderate decreasers (3 %) and the strong decreasers (6 %). These findings could be the starting point for person-tailored interventions that aim to enhance NRT compliance rates among adolescents. 10 p.

OBJECTIVE: This article reviews available qualitative studies that report young refugees' ways of dealing with adversity to address their sources of resilience. DESIGN: We searched five electronic databases. Twenty-six empirical studies were included in the review. A meta-ethnography approach was used to synthesize these qualitative studies. RESULTS: Six sources of resilience emerged: (1) social support, (2) acculturation strategies, (3) education, (4) religion, (5) avoidance, and (6) hope. These sources indicated social as well as personal factors that confer resilience in young refugees, but most of them also had counterproductive aspects. CONCLUSION: The results, from an ecological developmental perspective, stressed the interplay between protective and risk processes in the mental health of young refugees who had resettled in Western countries, and they emphasized the variability as well as the universality of resilience-promoting processes. Further research is needed to explore the cultural shape of resilience and the long-term consequences of war and migration on young refugees.

In deze studie onderzochten we of er verschillende ontwikkelingstrajecten bestaan in het gebruik van seksueel expliciet internetmateriaal (SEIM) van adolescenten en welke factoren voorspellend zijn voor deze trajecten. Een combinatie van latente klasseanalyse met groeicurves en multinominale regressieanalyse werd toegepast op 4-wave longitudinale gegevens van 441 adolescenten. Onder jongens waren vier ontwikkelingstrajecten in SEIM-gebruik te onderscheiden: ‘Stabiel geen/weinig gebruik’, ‘Sterk toenemend gebruik’, ‘Licht afnemend gebruik’ en ‘Stabiel veel gebruik’. Voor meisjes werd slechts één traject ‘Stabiel geen/weinig gebruik’ gevonden. Jongens in trajecten gekenmerkt door een hogere mate van SEIM-gebruik bleken bij de aanvang van de studie meer seksueel permissief en seksueel geïnteresseerd, zij communiceerden vaker met hun ouders over seks, konden vaker in privacy internetten en hadden een hogere realiteitsperceptie ten aanzien van seksuele media vergeleken met jongens in het traject ‘Stabiel geen/weinig gebruik’.

Household income is difficult to measure, since it requires the collection of information about all potential income sources for each member of a household.Weassess the effects of two types of edit check questions on measurement error and survey estimates: within-wave edit checks use responses to questions earlier in the same interview to query apparent inconsistencies in responses; dependent interviewing uses responses from prior interviews to query apparent inconsistencies over time.Weuse data from three waves of the British Household Panel Survey (BHPS) to assess the effects of edit checks on estimates, and data from an experimental study carried out in the context of the BHPS, where survey responses were linked to individual administrative records, to assess the effects on measurement error. The findings suggest that interviewing methods without edit checks underestimate non-labour household income in the lower tail of the income distribution. The effects on estimates derived from total household income, such as poverty rates or transition rates into and out of poverty, are small.