Computerized adaptive testing for cognitive diagnosis (CD-CAT) needs to be efficient and responsive in real time to meet practical applications' requirements. For high-dimensional data, the number of categories to be recognized in a test grows exponentially as the number of attributes increases, which can easily cause system reaction time to be too long such that it adversely affects the examinees and thus seriously impacts the measurement efficiency. More importantly, the long-time CPU operations and memory usage of item selection in CD-CAT due to intensive computation are impractical and cannot wholly meet practice needs. This paper proposed two new efficient selection strategies (HIA and CEL) for high-dimensional CD-CAT to address this issue by incorporating the max-marginals from the maximum a posteriori query and integrating the ensemble learning approach into the previous efficient selection methods, respectively. The performance of the proposed selection method was compared with the conventional selection method using simulated and real item pools. The results showed that the proposed methods could significantly improve the measurement efficiency with about 1/2–1/200 of the conventional methods' computation time while retaining similar measurement accuracy. With increasing number of attributes and size of the item pool, the computation time advantage of the proposed methods becomes more significant. 相似文献
Given the conceptual differences between different types of job insecurity, it is important to distinguish qualitative job insecurity from quantitative job insecurity when examining their motivational consequences. Building on the approach and avoidance framework, we expect that quantitative job insecurity influences avoid-performance goal orientation (avoidance form of motivation) via psychological safety, whereas qualitative job insecurity influences learning goal orientation (approach form of motivation) via psychological meaningfulness. We also examine the moderating role of organizational justice in such effects. Using two-wave data collected from 281 employees in China, we found that quantitative job insecurity had a positive indirect effect on employee avoid-performance goal orientation via decreased psychological safety, whereas qualitative job insecurity had a negative indirect effect on employee learning goal orientation via decreased psychological meaningfulness. In addition, organizational justice buffered the direct effect of quantitative job insecurity on employee psychological safety and the subsequent indirect effect on employee avoid-performance goal orientation. However, organizational justice did not moderate the influence of qualitative job insecurity on employee outcomes. Our findings provide new insights into the motivational implications of job insecurity.
Campaigns have become popular in public health approaches to suicide prevention; however, limited empirical investigation of their impact on behavior has been conducted. To address this gap, utilization patterns of crisis support services associated with the Department of Veterans Affairs' Veterans Crisis Line (VCL) suicide prevention campaign were examined. Daily call data for the National Suicide Prevention Lifeline, VCL, and 1‐800‐SUICIDE were modeled using a novel semi‐varying coefficient method. Analyses reveal significant increases in call volume to both targeted and broad resources during the campaign. Findings underscore the need for further research to refine measurement of the effects of these suicide prevention efforts. 相似文献
IntroductionChronic pain is difficult to treat and often precedes or exacerbates sleep disturbances such as insomnia. Insomnia, in turn, can amplify the pain experience. Both conditions are associated with inflammatory processes, which may be involved in the bi-directional relationship between pain and sleep. Cognitive behavioral therapy (CBT) for pain and CBT for insomnia are evidence based interventions for, respectively, chronic pain and insomnia. The study objectives were to determine the feasibility of combining CBT for pain and for insomnia and to assess the effects of the combined intervention and the stand alone interventions on pain, sleep, and mood outcomes compared to a control condition.MethodsTwenty-one adults with co-occurring chronic pain and chronic insomnia were randomized to either CBT for pain, CBT for insomnia, combined CBT for pain and insomnia, or a wait-list control condition.ResultsThe combined CBT intervention was feasible to deliver and produced significant improvements in sleep, disability from pain, depression and fatigue compared to the control condition. Overall, the combined intervention appeared to have a strong advantage over CBT for pain on most outcomes, modest advantage over both CBT for insomnia in reducing insomnia severity in chronic pain patients.DiscussionCBT for pain and CBT for insomnia may be combined with good results for patients with co-occurring chronic pain and insomnia. 相似文献
We examined independent and interactive associations linking preadolescents' socially anxious feelings and peer victimization experiences with their social behaviors (rated by parents and teachers) and psychophysiological arousal during lab simulations of salient peer stress situations in preadolescence (peer evaluation and peer rebuff). Sixty-three preadolescents and one parent per preadolescent participated. Respiratory sinus arrhythmia (RSA), skin conductance level (SCL), and heart rate (HR) were assessed during peer stress situations. Preadolescents provided reports of social anxiety; preadolescents and parents reported on peer victimization; and parents and teachers rated prosocial and aggressive behaviors. Peer victimization moderated associations between social anxiety and both physiological arousal and social-behavior problems. As hypothesized, social anxiety was more strongly associated with lower RSA, higher HR, and higher aggressive behavior among preadolescents who experienced higher levels of peer victimization, compared to preadolescents who experienced lower levels of peer victimization. 相似文献
Mediation analysis constitutes an important part of treatment study to identify the mechanisms by which an intervention achieves its effect. Structural equation model (SEM) is a popular framework for modeling such causal relationship. However, current methods impose various restrictions on the study designs and data distributions, limiting the utility of the information they provide in real study applications. In particular, in longitudinal studies missing data is commonly addressed under the assumption of missing at random (MAR), where current methods are unable to handle such missing data if parametric assumptions are violated. In this paper, we propose a new, robust approach to address the limitations of current SEM within the context of longitudinal mediation analysis by utilizing a class of functional response models (FRM). Being distribution-free, the FRM-based approach does not impose any parametric assumption on data distributions. In addition, by extending the inverse probability weighted (IPW) estimates to the current context, the FRM-based SEM provides valid inference for longitudinal mediation analysis under the two most popular missing data mechanisms; missing completely at random (MCAR) and missing at random (MAR). We illustrate the approach with both real and simulated data. 相似文献