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Background:
One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology.
Objective:
The aim of the present study was to identify predictors of dropout from this Web program.
Methods:
A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants’ age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method.
Results:
The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout.
Conclusions:
Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment.
Purpose:
To analyse the willingness for postmortem cornea donation in Germany.
Methods:
Employees in two cities (UKM, UKS), and university hospitals (STM, STE), members of the German Ophthalmological Society (DOG), and employees of an automobile company (BO) participated in a questionnaire about postmortem cornea donation attitudes. The questionnaire consisted of demographic items, motives concerning postmortem cornea donation, general attitudes toward donation, and questions concerning the perceived needs for information about donation. The statistical analyses included logistic regression with the target parameter of 'willingness to donate cornea postmortem'.
Results:
Of the participants, 67.7 % (UKM, UKS), 70.9 % (STM, STE), 70.8 % (BO), and 79.4 % (DOG) declared their intention to donate their corneas postmortem. Younger age (p < 0.001), poorer general health (p < 0.05), faith in an eternal life (p < 0.05), disagreement with brain death diagnostics (p < 0.001), fear of receiving worse medical treatment (p < 0.001), and fear of the commercialization of organs (p < 0.001) were found to be risk factors for a negative attitude toward postmortem cornea. The majority of participants (57.4 %) indicated that additional information about donation would be appreciated, and the internet (69.9 %) was considered the most appropriate means for conveying this information.
Conclusions:
Emotional items were revealed to be the most relevant factors influencing the willingness to donate cornea postmortem, which may be counteracted by means of public education. The relatively low willingness among the medical staff contrasts with previous observations in a professional ophthalmologic society.
Background:
Children with severe psychomotor impairment (SPMI) often experience sleep disturbances that severely distress both the child and his or her parents. Validated questionnaires for the assessment of parents’ distress related to their child’s sleep disturbances are lacking.
Methods:
We developed and validated a new questionnaire, the HOST (holistic assessment of sleep and daily troubles in parents of children with SPMI) to assess the effect of the sleep disturbances in children with SPMI on their parents. The questionnaire was developed based on published data and expert opinion, and it was refined via direct consultation with affected parents. Its psychometric characteristics were assessed in a sample of parents of 214 children with SPMI. It was retested using a random subsample of the participants.
Results:
Explorative factor analysis revealed that the HOST was composed of four scales. Fit indices, item analysis, and convergent validity (coherence with preexisting instruments of sleep disturbances and health status) were adequate. Retest analysis (n = 62) revealed high stability of the HOST questionnaire and adequate replication validity.
Conclusion:
Sleep-related difficulties significantly impact the sociomedical characteristics of the parents of children with complex neurologic diseases. Typically, parents are severely affected in various aspects of daily life (i.e., medical health, social life, professional life). The HOST proved to be a valid, reliable and economical assessment tool of sleep-related difficulties in parents and relatives of children with SPMI. The HOST is capable of identifying individuals and specific areas requiring intervention.
Multiple-group confirmatory factor analysis (MG-CFA) is among the most productive extensions of.structural equation modeling. Many researchers conducting cross-cultural or longitudinal studies are interested in testing for measurement and structural invariance. The aim of the present paper is to provide a tutorial in MG-CFA using the freely available R-packages lavaan, semTools, and semPlot. The combination of these packages enable a highly efficient analysis of the measurement models both for normally distributed as well as ordinal data. Data from two freely available datasets – the first with continuous the second with ordered indicators - will be used to provide a walk-through the individual steps.
Selecting items for Big Five questionnaires : At what sample size do factorloadings stabilize?
(2014)
Researchers often use exploratory factor analysis (EFA) to develop and refine questionnaires assessing theBig Five personality traits. We use sequential sampling and bootstrapping to determine the number ofparticipants needed to yield stable loading patterns for the Big Five Inventory (BFI) and the InternationalPersonality Item Pool Big Five measure (IPIP). Overall 21,350 participants (BFI = 10,285; IPIP = 11,065)participated. In two studies primary factor loadings are highly variable in smaller samples (n< 500)and some primary loadings are not stable with 10,000 participants. Most studies will not have adequatesample size to yield stable loading patterns for Big Five measures such as the BFI and IPIP. Researchersshould assess and report the variability of loading patterns.