The Intolerance to Uncertainty Scale (IUS) was developed to measure a dispositional tendency to react negatively to uncertain events, regardless of the occurrence probability of those events. Recent evidence suggests a 2-factor structure underlying the IUS; 1 factor measuring a prospective aspect (i.e., desire for predictability) and the other assessing an inhibitory aspect (i.e., uncertainty paralysis). The factorial and construct validity of the IUS test scores among undergraduate students in Singapore were examined in the present research using exploratory (n = 565) and confirmatory (n = 898) factor analyses. Results indicated that a 2-factor model was preferred over a unitary-factor model. The construct validity of the IUS (and subscale) scores was examined using a comprehensive nomological network of psychopathology and personality/affectivity variables. Differential relations were observed for the prospective and inhibitory components, providing support that the 2 subscales assessed unique aspects of the intolerance of uncertainty construct. An 18-item modified version of IUS was also proposed and its test scores had stronger validity evidence than scores from the widely used 12-item version.
Past research has identified an event-related potential (ERP) marker for vocal emotional encoding and has highlighted vocal-processing differences between male and female listeners. We further investigated this ERP vocal-encoding effect in order to determine whether it predicts voice-related changes in listeners' memory for verbal interaction content. Additionally, we explored whether sex differences in vocal processing would affect such changes. To these ends, we presented participants with a series of neutral words spoken with a neutral or a sad voice. The participants subsequently encountered these words, together with new words, in a visual word recognition test. In addition to making old/new decisions, the participants rated the emotional valence of each test word. During the encoding of spoken words, sad voices elicited a greater P200 in the ERP than did neutral voices. While the P200 effect was unrelated to a subsequent recognition advantage for test words previously heard with a neutral as compared to a sad voice, the P200 did significantly predict differences between these words in a concurrent late positive ERP component. Additionally, the P200 effect predicted voice-related changes in word valence. As compared to words studied with a neutral voice, words studied with a sad voice were rated more negatively, and this rating difference was larger, the larger the P200 encoding effect was. While some of these results were comparable in male and female participants, the latter group showed a stronger P200 encoding effect and qualitatively different ERP responses during word retrieval. Estrogen measurements suggested the possibility that these sex differences have a genetic basis.
Cognitive theories of psychopathology posit that maladaptive patterns of cognitions confer elevated risks to individuals in the development of psychological disorders. This meta-analysis examined the extent to which six cognitive vulnerabilities associated with depression (i.e., pessimistic inferential style, dysfunctional attitudes, and ruminative style) and anxiety (i.e., anxiety sensitivity, intolerance of uncertainty, and fear of negative evaluation) were related with one another. A total of 159 effect sizes from 73 articles were obtained to estimate the mean correlations among the vulnerabilities. Results indicated that they were moderately to strongly correlated. Meta-analytic structural equation modeling was applied to evaluate two alternative factor analytic models underlying the associations among the vulnerabilities. A one-factor model provided the best fit to the meta-analytic data, suggesting a common etiologic factor shared among the vulnerabilities. This suggests that the vulnerabilities are not distinct at a broad level and their common core presents an avenue for transdiagnostic interventions.
SUMMAR Y The contribution of sleep problems to emotional and behavioral problems among young children within the context of known risk factors for psychopathology was examined. Data on 2-and 3-year-olds, representative of Canadian children without a chronic illness, from three cross-sectional cohorts of the Canadian National Longitudinal Study of Child and Youth were analysed (n = 2996, 2822, and 3050). The person most knowledgeable (PMK), usually the mother, provided information about her child, herself, and her family. Predictors included: child health status and temperament; parenting and PMK depressive symptomatology; family demographics (e.g., marital status, income) and functioning. Child sleep problems included night waking and bedtime resistance. Both internalizing ⁄ emotional (i.e., anxiety) and externalizing ⁄ behavioral problems (i.e., hyperactivity, aggression) were examined. Adjusting for other known risk factors, child sleep problems accounted for a small, but significant, independent proportion of the variance in internalizing and externalizing problems. Structural equation models examining the pathways linking risk factors to sleep problems and emotional and behavioral problems were a good fit of the data. Results were replicated on two additional cross-sectional samples. The relation between sleep problems and emotional and behavioral problems is independent of other commonly identified risk factors. Among young children, sleep problems are as strong a correlate of child emotional and behavioral problems as PMK depressive symptomatology, a well-established risk factor for child psychopathology. Adverse parenting and PMK symptomatology, along with difficult temperament all contribute to both sleep problems and emotional and behavioral problems. ChildrenÕs sleep problems appear to exacerbate emotional and behavioral problems.k e y w o r d s sleep problems, psychopathology, children, risk factors
The relationships between subjective status and perceived legitimacy are important for understanding the extent to which people with low status are complicit in their oppression. We use novel data from 66 samples and 30 countries (
N
= 12,788) and find that people with higher status see the social system as more legitimate than those with lower status, but there is variation across people and countries. The association between subjective status and perceived legitimacy was never negative at any levels of eight moderator variables, although the positive association was sometimes reduced. Although not always consistent with hypotheses, group identification, self‐esteem, and beliefs in social mobility were all associated with perceived legitimacy among people who have low subjective status. These findings enrich our understanding of the relationship between social status and legitimacy.
Statistical methods play an important role in behavioural, medical, and social sciences. Two recent statistical advances are structural equation modelling (SEM) and meta-analysis. SEM is used to test hypothesised models based on substantive theories, which can be path, confirmatory factor analytic, or full structural equation models. Meta-analysis is used to synthesise research findings in a particular topic. This article demonstrates another recent statistical advance - meta-analytic structural equation modelling (MASEM) - that combines meta-analysis and SEM to synthesise research findings for the purpose of testing hypothesised models. Using the theory of planned behaviour as an example, we show how MASEM can be used to address important research questions that cannot be answered by univariate meta-analyses on Pearson correlations. Specifically, MASEM allows researchers to: (1) test whether the proposed models are consistent with the data; (2) estimate partial effects after controlling for other variables; (3) estimate functions of parameter estimates such as indirect effects; and (4) include latent variables in the models. We illustrate the procedures with an example on the theory of planned behaviour. Practical issues in MASEM and suggested solutions are discussed.
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