Development and Psychometric Evaluation of an Item Bank for Computerized Adaptive Testing of the EORTC Insomnia Dimension in Cancer Patients (EORTC CAT-SL)

To further advance assessment of patient-reported outcomes, the European Organisation of Research and Treatment of Cancer (EORTC) Quality of Life Group has developed computerized adaptive test (CAT) versions of all EORTC Quality of Life Core Questionnaire (QLQ-C30) scales/items. The aim of this study was to develop and evaluate an item bank for CAT measurement of insomnia (CAT-SL). In line with the EORTC guidelines, the developmental process comprised four phases: (I) defining the concept insomnia and literature search, (II) selection and formulation of new items, (III) pre-testing and (IV) field-testing, including psychometric analyses of the final item bank. In phase I, the literature search identified 155 items that were compatible with our conceptualisation of insomnia, including both quantity and quality of sleep. In phase II, following a multistep-approach, this number was reduced to 15 candidate items. Pre-testing of these items in cancer patients (phase III) resulted in an item list of 14 items, which were field-tested among 1094 patients in phase IV. Psychometric evaluations showed that eight items could be retained in a unidimensional model. The final item bank yielded greater measurement precision than the original QLQ-C30 insomnia item. It was estimated that administering two or more items from the insomnia item bank with CAT results in a saving in sample size between approximately 15–25%. The 8-item EORTC CAT-SL item bank facilitates precise and efficient measurement of insomnia as part of the EORTC CAT system of health-related quality life assessment in both clinical research and practice

Measuring Five Dimensions of Religiosity Across Adolescence

This paper theorizes and tests a latent variable model of adolescent religiosity in which five dimensions of religiosity are interrelated: religious beliefs, religious exclusivity, external religiosity, private practice, and religious salience. Research often theorizes overlapping and independent influences of single items or dimensions of religiosity on outcomes such as adolescent sexual behavior, but rarely operationalizes the dimensions in a measurement model accounting for their associations with each other and across time. We use longitudinal structural equation modeling (SEM) with latent variables to analyze data from two waves of the National Study of Youth and Religion. We test our hypothesized measurement model as compared to four alternate measurement models and find that our proposed model maintains superior fit. We then discuss the associations between the five dimensions of religiosity we measure and how these change over time. Our findings suggest how future research might better operationalize multiple dimensions of religiosity in studies of the influence of religion in adolescence

Sex Differences in Youth-Reported Depressive Symptomatology and Unwanted Internet Sexual Solicitation

BACKGROUND: As the number of youths using the Internet regularly increase, so too does the number of youths potentially vulnerable to negative experiences online. Clinicians, policy makers, and parents need to better understand the Internet and factors related to positive and negative experiences online. OBJECTIVE: Primarily to investigate the association between youth-reported depressive symptomatology and unwanted Internet sexual solicitation and secondarily to identify sex differences in related characteristics of affected youth. METHODS: Data from the Youth Internet Safety Survey were analyzed to investigate the association between reported depressive symptomatology and unwanted Internet sexual solicitation. The Youth Internet Safety Survey was a nationally-representative, cross-sectional telephone survey. Youth participants (N = 1501) were English speakers between the ages of 10 and 17 years who had accessed the Internet at least 6 times in the previous 6 months and had resided in the household for at least 2 weeks in the previous year. Eighty-two percent of contacted households agreed to participate. Each participant was asked to indicate whether any of the 9 symptoms of major depression defined by the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) had been present within the previous month. Logistic regression was used to estimate the odds of reporting an unwanted sexual solicitation online for youths with mild or major depressive symptomatology versus no symptomatology. A parsimonious, multivariate model of significant youth characteristics was identified separately for males and females. RESULTS: Youths who report major depressive-like symptoms were 3.5 times more likely (odds ratio, 3.54; 95% confidence interval, 2.19-5.71) to also report an unwanted sexual solicitation online compared to youths with mild/no symptomatology. After adjusting for significant Internet and psychosocial characteristics, male Internet users who report major depressive-like symptomatology were 2.5 times more likely to also indicate an unwanted Internet solicitation (adjusted odds ratio, 2.72; 95% CI, 1.15-6.40); significant differences were not observed among otherwise-similar females. Further, among youths reporting an Internet solicitation (N = 283), youths with major depressive-like symptomatology were twice as likely to report feeling emotionally distressed by the incident compared to youths with mild/no symptomatology (odds ratio, 2.27; 95% CI, 1.03-5.02). CONCLUSIONS: While the majority of youths report positive experiences online, some youths may be more vulnerable to negative experiences. Cross-sectional results indicate that the report of depressive symptomatology is significantly related to the concurrent report of an unwanted Internet sexual solicitation, especially for young males. Future research should focus on parsing out the temporality of events and identifying additional populations of vulnerable youths online