A two-step, test-guided Mokken scale analysis, for nonclustered and clustered data.

PURPOSE: Mokken scale analysis (MSA) is an attractive scaling procedure for ordinal data. MSA is frequently used in health-related quality of life research. Two of MSA's prime features are the scalability coefficients and the automated item selection procedure (AISP). The AISP partitions a (large) set of items into scales based on the observed item scores; the resulting scales can be used as measurement instruments. There exist two issues in MSA: First, point estimates, standard errors, and test statistics for scalability coefficients are inappropriate for clustered item scores, which are omnipresent in quality of life research data. Second, the AISP insufficiently takes sampling fluctuation of Mokken's scalability coefficients into account. METHODS: We solved both issues by providing point estimates and standard errors for the scalability coefficients for clustered data and by implementing a Wald-based significance test in the AISP algorithm, resulting in a test-guided AISP (T-AISP), that is available for both nonclustered and clustered test scores. RESULTS: We integrated the T-AISP into a two-step, test-guided MSA for scale construction, to guide the analysis for nonclustered and clustered data. The first step is performing a T-AISP and select the final scale(s). For clustered data, within-group dependency is investigated on the final scale(s). In the second step, the strength of the scale(s) is determined and further analyses are performed. The procedure was demonstrated on clustered item scores obtained from administering a questionnaire on quality of life in schools to 639 students nested in 30 classrooms. CONCLUSIONS: We developed a two-step, test-guided MSA for scale construction that takes into account sample fluctuation of all scalability coefficients and that can be applied to item scores obtained by a nonclustered or clustered sampling design.

Promoting physical distancing during COVID-19: a systematic approach to compare behavioral interventions.

In the wake of the COVID-19 pandemic, physical distancing behavior turned out to be key to mitigating the virus spread. Therefore, it is crucial that we understand how we can successfully alter our behavior and promote physical distancing. We present a framework to systematically assess the effectiveness of behavioral interventions to stimulate physical distancing. In addition, we demonstrate the feasibility of this framework in a large-scale natural experiment (N = 639) conducted during an art fair. In an experimental design, we varied interventions to evaluate the effect of face masks, walking directions, and immediate feedback on visitors' contacts. We represent visitors as nodes, and their contacts as links in a contact network. Subsequently, we used network modelling to test for differences in these contact networks. We find no evidence that face masks influence physical distancing, while unidirectional walking directions and buzzer feedback do positively impact physical distancing. This study offers a feasible way to optimize physical distancing interventions through scientific research. As such, the presented framework provides society with the means to directly evaluate interventions, so that policy can be based on evidence rather than conjecture.

Is the "Brainwork Intervention" effective in reducing sick leave for non-permanent workers with psychological problems? Results of a controlled clinical trial.

BACKGROUND: Both the presence of psychological problems and the absence of an employment contract are related to long-term sickness absence, prolonged work disability and unemployment. Studies researching the effectiveness of return-to-work interventions on these non-permanent workers, including unemployed and temporary agency workers and workers with an expired fixed-term contract, are lagging behind. Therefore, a return-to-work intervention called "Brainwork" was developed. The aim of this study was to assess the effectiveness of the 'Brainwork Intervention' in reducing the duration of sick leave compared to usual care over a 12-month follow-up. METHODS: In a multicenter controlled clinical trial, using a quasi-randomization procedure, we compared the Brainwork Intervention (n = 164) to usual care (n = 156). The primary outcome was the duration of sick leave. Secondary outcomes were the duration of sick leave starting from Social Security Agency transfer; the proportion of workers returned to work; the number of hours of paid employment during the follow-up period; the degree of worker participation; the level of psychological complaints; and the self-efficacy for return to work. Protocol adherence (Brainwork Intervention) was considered sufficient when at least three of the five protocol steps were followed. Cox regressions, linear and ordinal regression, and Mixed Model analyses were performed. RESULTS: All 320 participants were analyzed. The Brainwork Intervention resulted in a non-significant reduction of the duration of sick leave compared to usual care (269 days versus 296 days; HR = 1.29; 95% CI 0.94-1.76; p = 0.11). For those working (46%) during the 12-month follow-up, the mean number of hours of paid employment was non-significantly higher in the usual care group (682 h versus 493 h; p = 0.053). No significant differences were found for other secondary outcomes. Protocol adherence was 10%. CONCLUSIONS: The Brainwork Intervention as performed with a low protocol adherence did not result in a significant reduction of the duration of sick leave compared to usual care. It remains unclear what the results would have been if the Brainwork Intervention had been executed according to protocol. TRIAL REGISTRATION: The Netherlands Trial Register (NTR); NTR3976 (old registration number NTR4190). Registered September 27th 2013.

Bias of Two-Level Scalability Coefficients and Their Standard Errors.

Two-level Mokken scale analysis is a generalization of Mokken scale analysis for multi-rater data. The bias of estimated scalability coefficients for two-level Mokken scale analysis, the bias of their estimated standard errors, and the coverage of the confidence intervals has been investigated, under various testing conditions. It was found that the estimated scalability coefficients were unbiased in all tested conditions. For estimating standard errors, the delta method and the cluster bootstrap were compared. The cluster bootstrap structurally underestimated the standard errors of the scalability coefficients, with low coverage values. Except for unequal numbers of raters across subjects and small sets of items, the delta method standard error estimates had negligible bias and good coverage. Post hoc simulations showed that the cluster bootstrap does not correctly reproduce the sampling distribution of the scalability coefficients, and an adapted procedure was suggested. In addition, the delta method standard errors can be slightly improved if the harmonic mean is used for unequal numbers of raters per subject rather than the arithmetic mean.

Standard errors of two-level scalability coefficients.

For the construction of tests and questionnaires that require multiple raters (e.g., a child behaviour checklist completed by both parents) a novel ordinal scaling technique is currently being further developed, called two-level Mokken scale analysis. The technique uses within-rater and between-rater coefficients to assess the scalability of the test. These coefficients are generalizations of Mokken's scalability coefficients. In this paper we derived standard errors for the two-level coefficients and for their ratios. The coefficients, the estimates, the estimated standard errors and the software implementation are discussed and illustrated using a real-data example, and a small-scale simulation study demonstrates the accuracy of the estimates.

Chronic sleep reduction in adolescents-clinical cut-off scores for the Chronic Sleep Reduction Questionnaire (CSRQ).

The Chronic Sleep Reduction Questionnaire is a validated questionnaire that measures symptoms of prolonged insufficient and/or poor sleep and therefore accounts for individuals' sleep need and sleep debt. This study extends its psychometric properties by providing cut-off scores, using a matched sample of 298 healthy adolescents (15.38 ± 1.63 years, 37.9% male, mean Chronic Sleep Reduction Questionnaire score: 32.98 ± 6.51) and 298 adolescents with insomnia/delayed sleep-wake phase disorder (15.48 ± 1.62 years; 37.9% male, mean Chronic Sleep Reduction Questionnaire score: 42.59 ± 7.06). We found an area under the curve of 0.84 (95% confidence interval: 0.81-0.87). Cut-off scores for optimal sensitivity, optimal specificity and based on Youden's criterion are provided. These cut-off scores are highly relevant for use of the Chronic Sleep Reduction Questionnaire in future studies and clinical practice.

Exposure to virtual social interactions in the treatment of social anxiety disorder: A randomized controlled trial.

This randomized controlled trial investigated the efficacy of a stand-alone virtual reality exposure intervention comprising verbal interaction with virtual humans to target heterogeneous social fears in participants with social anxiety disorder. Sixty participants (Mage = 36.9 years; 63.3% women) diagnosed with social anxiety disorder were randomly assigned to individual virtual reality exposure therapy (VRET), individual in vivo exposure therapy (iVET), or waiting-list. Multilevel regression analyses revealed that both treatment groups improved from pre-to postassessment on social anxiety symptoms, speech duration, perceived stress, and avoidant personality disorder related beliefs when compared to the waiting-list. Participants receiving iVET, but not VRET, improved on fear of negative evaluation, speech performance, general anxiety, depression, and quality of life relative to those on waiting-list. The iVET condition was further superior to the VRET condition regarding decreases in social anxiety symptoms at post- and follow-up assessments, and avoidant personality disorder related beliefs at follow-up. At follow-up, all improvements were significant for iVET. For VRET, only the effect for perceived stress was significant. VRET containing extensive verbal interaction without any cognitive components can effectively reduce complaints of generalized social anxiety disorder. Future technological and psychological improvements of virtual social interactions might further enhance the efficacy of VRET for social anxiety disorder.

Pediatric epilepsy and comorbid reading disorders, math disorders, or autism spectrum disorders: Impact of epilepsy on cognitive patterns.

INTRODUCTION: In pediatric epilepsy, comorbidities are reported to be frequent. The present study focusedon the cognitive patterns of children with isolated epilepsy, children with isolated neurodevelopmental disorders (reading disorders, math disorders, autism spectrum disorders), and children with epilepsy and these neurodevelopmental disorders as comorbidities. METHODS: Based on two samples of referred children, one with epilepsy, reading disorders, math disorders, or ASDs occurring in "isolation" (n=117) and one with reading disorders, math disorders, and ASDs occurring comorbid with epilepsy (n=171), cognitive patterns were compared. The patterns displayed by verbal and nonverbal abilities from the WISC series were studied with repeated measures ANOVA. Thereafter, an exploratory 2∗3∗2 factorial analysis was done to study the independent contribution of the type of comorbidity and of the presence or absence of epilepsy to the VIQ-PIQ pattern. RESULTS: In isolated epilepsy, a VIQ>PIQ pattern was found, which was not seen in the other disorders. When epilepsy and another disorder co-occurred, patterns were altered. They resembled partly the pattern seen in isolated epilepsy and partly the pattern seen in the isolated neurodevelopmental disorder. In comorbid reading disorders, the VIQ>PIQ pattern was mitigated; in comorbid math disorders, it was exacerbated. In comorbid ASDs, no clear pattern emerged. In the presence of epilepsy, patterns characteristic of isolated disorders appeared systematically shifted toward relatively lowered performance abilities or relatively spared verbal abilities. The similar "impact" exerted by epilepsy on the patterns of the various conditions suggested shared mechanisms.

Mindful Parenting Assessed Further: Psychometric Properties of the Dutch Version of the Interpersonal Mindfulness in Parenting Scale (IM-P).

Psychometric properties of the Dutch version of the Interpersonal Mindfulness in Parenting Scale (IM-P) were studied in a general population sample of mothers of adolescents (n=866) (study 1). A six-factor structure (29 items) emerged using exploratory factor analysis. A main difference from the original IM-P was that aspects of compassion and emotional awareness were separated into different factors for the self and the child, instead of combined into one factor. In a second general population sample of mothers of adolescents (n=.99), the six-factor structure was confirmed using confirmatory factor analysis (study 2). The proposed 29-item version of the IM-P and its subscales were shown to have good internal consistencies, apart from the sixth factor. As expected, a high correlation was found with general mindfulness questionnaires (FFMQ and FMI). Furthermore, the IM-P correlated positively as expected with quality of life and optimism and negatively with depression and dysfunctional parenting styles. These expected indications of construct validity were found in study 2, as well as in mothers (n=112) of adolescents with type 1 diabetes mellitus (study 3) which was added to examine whether the Dutch version of the IM-P was also valid in a pediatric population. Overall, these three studies present good psychometric properties of the Dutch translation of the first measure of mindful parenting.

Moral orientation and relationships in school and adolescent pro- and antisocial behaviors: a multilevel study.

This multilevel study examined the relationships between moral climate factors and prosocial as well as antisocial behaviors inside and outside the school (school misconduct, delinquent behavior, and vandalism). The moral climate factors were punishment- and victim-based moral orientation, relationships among students, and teacher-student relationships. The analyses of data from 670 students in 69 classes showed that the classroom-level variables only had a significant impact on misconduct at school of students aged 12 to 20. For the other outcome variables, the student-level variables (student and teacher-student relationships, but especially students' moral orientation) were significant. A novel finding was that a positive teacher-student relationship not only proved to be related to less misconduct inside the school but also to less delinquent behavior and vandalism outside the school. This indicates that the teacher is an important socializing agent for adolescent behavior in general.

The impact of education and globalization on sexual and reproductive health: retrospective evidence from eastern and southern Africa.

The objective of this study is to qualify the relationship between sexual and reproductive health (SRH) and educational attainment in eastern and southern Africa (ESA). We hypothesize that the regional level of globalization is a moderating factor in the relationship between SRH and educational attainment. Using retrospective data from Kenya, Malawi, Tanzania, and Zambia, the associations between SRH (eight indicators), educational attainment, and globalization were examined using multilevel logistic regression analysis. It was found that the model fit for every SRH outcome indicator increased significantly after including the interaction between globalization and educational attainment, supporting the hypothesis. Depending on the level of globalization, three types of relationships between education and SRH were found: (1) for the indicators "more than four children," "intercourse before 17 years," "first child before 20 years," and "one or more child died" education is risk-decreasing, and the reduction is stronger in more globalized regions; (2) for the indicators "condom use at last intercourse" and "current contraceptive use" education is risk-decreasing, and the reduction is stronger in less globalized regions; (3) for the indicators "HIV positive" and "more than four lifetime sexual partners" education is risk increasing, but only in less globalized regions. In conclusion, these effects are related to three types of access: (1) access to services, (2) access to information, and (3) access to sexual networks. The findings highlight the relevance of globalization when analyzing the association between SRH and education, and the importance of structural factors in the development of effective SRH promotion interventions.

Duration of epilepsy and cognitive development in children: a longitudinal study.

OBJECTIVE: To study the pattern of cognitive development in relation to duration of epilepsy. METHODS: Participants were 113 children with epilepsy referred because of concerns about their cognitive development and tested at least twice at tertiary epilepsy settings. Verbal, Performance, and Full Scale IQ were measured with Wechsler Intelligence Scales. Various epilepsy and demographic variables were included. Change over time was modeled with multilevel analysis for longitudinal data with variable measurement occasion. RESULTS: The Verbal and Full Scales could be fitted best as a downward progressing function. Earlier in time, decline was likely to be largest; later in time, decline followed a continuous, dwindling course. A similar trend was seen for the Performance Scale. Initially, Verbal IQ was higher than Performance IQ but this discrepancy decreased over time. Later onset of epilepsy was associated with an attenuated decline of the Verbal Scale. None of the other epilepsy variables were related to the course of cognitive development. Higher parental education was associated with higher IQ, but was not protective against decline. CONCLUSIONS: Verbal IQ, though initially spared, drops. The Performance IQ, which may have shown its vulnerability earlier in the course of the epilepsy, shows overall smaller changes. It is suggested that seizures impact synergistically on an affected brain, which leads to progressive cognitive decline. Earlier onset of epilepsy is associated with relatively higher VIQ, larger VIQ > PIQ discrepancies and more decline.

Coordination of gaze, facial expressions and vocalizations of early infant communication with mother and father.

Gaze direction, expressive behaviors and vocalizations are infants' first form of emotional communication. The present study examined the emotional configurations of these three behaviors during face-to-face situations and the effect of infants' and parents' gender. We observed 34 boys and 32 girls (mean age of 18 weeks) during the normal face-to-face interaction with their mother and with their father. Three main behaviors and their temporal co-occurrence were observed: gaze direction at the partner as an indication of infants' attention, positive and negative facial expressions as emotional communication, and vocalizations as first forms of utterances. Pairwise, infants' production of vocalizations, positive facial expressions and gaze were strongly coordinated with each. In addition, the majority of vocalizations produced during positive facial expressions coincided with gaze at the parent. Results on the effect of gender showed that infants (both boys and girls) produced coordinated patterns of positive facial expressions and gaze more often during the interaction with the mother as compared to the interaction with the father. Results contribute to the research on infants' early expression of emotions and gender differences.

The Mindful Attention Awareness Scale for Adolescents (MAAS-A): Psychometric Properties in a Dutch Sample.

The factor structure and psychometric properties of the Dutch version of the Mindful Attention Awareness Scale for Adolescents (MAAS-A) was studied in a sample of adolescents (n = 717; age range, 11-17 years) of the general population. The MAAS-A and other questionnaires measuring other constructs were administered in high schools across the Netherlands. A one-factor structure was demonstrated using principal component analysis and was further confirmed using confirmatory factor analysis. The MAAS-A was shown to have high internal consistency. Expected negative correlations between mindfulness and self-reported stress and emotion regulation strategies such as rumination and catastrophizing were found. Further, mindfulness was positively correlated with happiness, healthy self-regulation, and with another recently developed measure of mindfulness in children and adolescents, the Child and Adolescent Mindfulness Measure. Mindfulness as measured by the MAAS-A correlated positively with quality of life, but an expected positive relationship with acceptance was not found. Interestingly, adolescents without meditation experience scored higher on the MAAS-A than adolescents without this experience. Further, adolescents with chronic disorders scored lower on the MAAS-A than adolescents without these disorders. Overall, this study has shown evidence of the first valid and reliable Dutch measure of mindfulness for adolescents. The factor structure, internal consistency, and convergent and divergent validity as well as their relationship to quality of life are comparable to the original MAAS-A.

MCMC estimation for the p(2) network regression model with crossed random effects.

The p(2) model is a statistical model for the analysis of binary relational data with covariates, as occur in social network studies. It can be characterized as a multinomial regression model with crossed random effects that reflect actor heterogeneity and dependence between the ties from and to the same actor in the network. Three Markov chain Monte Carlo (MCMC) estimation methods for the p(2) model are presented to improve iterative generalized least squares (IGLS) estimation developed earlier, two of which use random walk proposals. The third method, an independence chain sampler, and one of the random walk algorithms use normal approximations of the binary network data to generate proposals in the MCMC algorithms. A large-scale simulation study compares MCMC estimates with IGLS estimates for networks with 20 and 40 actors. It was found that the IGLS estimates have a smaller variance but are severely biased, while the MCMC estimates have a larger variance with a small bias. For networks with 20 actors, mean squared errors are generally comparable or smaller for the IGLS estimates. For networks with 40 actors, mean squared errors are the smallest for the MCMC estimates. Coverage rates of confidence intervals are good for the MCMC estimates but not for the IGLS estimates.

The dyadic nature of bullying and victimization: testing a dual-perspective theory.

For this study, information on Who Bullies Who was collected from 54 school classes with 918 children (M age = 11) and 13,606 dyadic relations. Bullying and victimization were viewed separately from the point of view of the bully and the victim. The two perspectives were highly complementary. The probability of a bully-victim relationship was higher if the bully was more dominant than the victim, and if the victim was more vulnerable than the bully and more rejected by the class. In a bully-victim dyad, boys were more often the bullies. There was no finding of sex effect for victimization. Liking reduced and disliking increased the probability of a bully-victim relationship.