Multilevel analysis of matching behavior: A comparison of maximum likelihood and Bayesian estimation.

While trying to infer laws of behavior, accounting for both within-subjects and between-subjects variance is often overlooked. It has been advocated recently to use multilevel modeling to analyze matching behavior. Using multilevel modeling within behavior analysis has its own challenges though. Adequate sample sizes are required (at both levels) for unbiased parameter estimates. The purpose of the current study is to compare parameter recovery and hypothesis rejection rates of maximum likelihood (ML) estimation and Bayesian estimation (BE) of multilevel models for matching behavior studies. Four factors were investigated through simulations: number of subjects, number of measurements by subject, sensitivity (slope), and variance of the random effect. Results showed that both ML estimation and BE with flat priors yielded acceptable statistical properties for intercept and slope fixed effects. The ML estimation procedure generally had less bias, lower RMSE, more power, and false-positive rates closer to the nominal rate. Thus, we recommend ML estimation over BE with uninformative priors, considering our results. The BE procedure requires more informative priors to be used in multilevel modeling of matching behavior, which will require further studies.

Family physicians' sick-listing practices in relation to mental disorders: A descriptive study.

BACKGROUND: Mental disorders are among the leading causes of disability for which family physicians are often required to complete sickness certificates. Yet, little is known about family physicians' sick-listing practices in Quebec. OBJECTIVE: This study aims to describe their practices, difficulties and needs. METHODS: Twenty-three family physicians completed a comprehensive questionnaire on sickness certification practices. Descriptive statistics were used. RESULTS: Despite being completed on a weekly basis, sickness certifications were deemed problematic by all participants. While they rarely refused to sick-list a patient, 43.5% reported suggesting accommodations as an alternative to sick leave. Waiting-time to access psychotherapy and delays to set-up workplace accommodations are responsible for many unnecessary sick-leave prolongations. Lack of time, long duration absences, situations where the physician held a different opinion than the patient/healthcare provider and assessing an individual's capacity to work are the most common reported problems. More than half of participants indicated medical schools do not greatly prepare them to carry out these tasks. CONCLUSION: Sickness certifications are deemed problematic, and more training might be key. Our results can be used by medical schools or bodies responsible for continuous education to improve training.

Psychometric assessment of social cognitive tasks.

Although there has been a marked increase in interest in social cognition (SC) in recent years, psychometric data relating to many tasks used to measure its components remain limited in healthy populations with only five articles published to date. It is accordingly premature to speak of a consensus concerning the specific components, or best tests of the components, and possible cultural differences. The present study sought to partially fill that gap, examining the psychometric properties of a battery of SC tasks in a sample of 100 healthy adults aged 18-85 years old. Initially, nine tasks assessing four SC components were selected: emotion recognition, theory of mind, attributional bias, and social judgment. Construct validity and criterion-related validity were assessed using factor and correlational analyses. Performance across age and sex groups was also investigated. Reliability was assessed through internal consistency, interrater and intercoder agreement. Results indicated satisfactory properties for the Ambiguous Intentions Hostility Questionnaire-blame score, the Social Judgment Task, the Facial Emotions Recognition Test, and a modified version of the Strange Stories Task. Statistically significant differences were found between the groups with regard to age and sex after accounting for demographic and cognitive factors. However, the correlations of these measures with relationship quality were mostly very low, raising questions about their concomitant validity. Other tasks showed sub-optimal properties, suggesting that some frequently used tests require further validation or modifications to ensure the quality of research findings. Based on the results, recommended measures for future studies and limitations are discussed.

Age differences in social-cognitive abilities across the stages of adulthood and path model investigation of adult social cognition.

Accumulating evidence points toward an association between older age and performance decrements in social cognition (SC). We explored age-related variations in four components of SC: emotion recognition, theory of mind, social judgment, and blame attributions. A total of 120 adults divided into three stages (18-34 years, 35-59 years, 60-85 years) completed a battery of SC. Between and within age-group differences in SC were investigated. Path analyses were used to identify relationships among the components. Emotion recognition and theory of mind showed differences beginning either in midlife, or after. Blame attributions and social judgment did not show a significant difference. However, social judgment varied significantly within groups. Path models revealed a relationship between emotion recognition and theory of mind. Findings highlight age-related differences in some components and a link between two components. Strategies promoting social functioning in aging might help to maintain or improve these abilities over time.

Self-Blame, Shame, Avoidance, and Suicidal Ideation in Sexually Abused Adolescent Girls: A Longitudinal Study.

Depressive symptoms, posttraumatic stress disorder, and suicidal ideation are among the most prevalent problems associated with sexual abuse. Based on the Traumagenic dynamic of stigmatization model, the aim of this study was to investigate whether self-blame, shame, and maladaptive coping strategies predicted posttraumatic stress disorder, depressive symptoms, and suicidal ideation among sexually abused adolescent girls using a longitudinal design. A total of 100 adolescent girls completed a series of questionnaires at the initial visit at the intervention center (T1) and 6 months later (T2). Path analysis reveals shame at T1 predicted posttraumatic stress disorder symptoms at T2 whereas self-blame at T1 predicted depressive symptoms at T2. Furthermore, avoidance coping at T1 and depressive symptoms at T2 predicted suicidal ideation at T2 and accounted for 54% of the variance. These findings suggest that interventions designed for sexually abused adolescent girls should target shame, self-blame, and avoidance coping to foster recovery in this vulnerable population.

A mediational model linking perceptions of security, alexithymia and behavior problems of sexually abused children.

BACKGROUND: Perceptions of security toward parents are related with internalized and externalized problems among victims of child sexual abuse (CSA). Alexithymia, which is difficulty in identifying and expressing feelings, is associated with the quality of parent-child relationships (Oskis et al., 2013) and behavior problems in children (Di Trani et al., 2013). OBJECTIVE: The current study tested the mediational role of alexithymia in the relationship between perceptions of security toward parents and behavior problems among CSA victims. PARTICIPANTS AND METHOD: Using a short-term multi-informant prospective design, 263 victims of CSA aged 6-12 years completed the Kerns Security Scale (Kerns, Klepac, & Cole, 1996), which evaluates perceived attachment security to mothers and fathers. Parents completed the Child Behavior Checklist (Achenbach & Rescorla, 2001) at Time 1 to provide baseline scores of behavior problems and again four months later. At Time 2, parents also assessed the children's alexithymia using the Children's Alexithymia Measure (Way et al., 2010). RESULTS: Perceptions of security were both associated with alexithymia, as well as with internalizing and externalizing problems (p < .05). A mediational model showed that perception of security toward fathers outweighed the mother-child relationship in predicting children's alexithymia. Path analysis revealed that the father-child relationship predicted decreased behavioral problems at Time 2 through a lower level of alexithymia. The model explained 46.9% of internalizing problems and 56.1% of externalizing problems (p < .05). CONCLUSIONS: The findings support the relevance of alexithymia as an intervention target for CSA victims and underscore the importance of the father-child relationship.

Multilevel analysis of matching behavior.

Multilevel modeling has been considered a promising statistical tool in the field of the experimental analysis of behavior and may serve as a convenient statistical analysis for matching behavior because it structures data in groups (or levels) to account simultaneously for the within-subject and between-subject variances. Heretofore, researchers have sometimes pooled data erroneously from different subjects in a single analysis by using average ratios, average response and reinforcer rates, aggregation of subjects, etc. Unfortunately, this leads to loss of information and biased estimations, which can severely undermine generalization of the results. Instead, a multilevel approach is advocated to combine several subjects' matching behavior. A reanalysis of previous data on matching behavior is provided to illustrate the method and point out its advantages. It illustrates that multilevel regression leads to better estimations, is more convenient, and offers more behavioral information. We hope this paper will encourage the use of multilevel modeling in the statistical practices of behavior analysts.

On the empirical status of the matching law: comment on McDowell (2013).

The matching law, regardless of the version, is a mathematical model that accounts for an organism's response rate as a function of the reinforcer rate. McDowell (2013) investigated to which extent a combined version of the quantitative law of effect (Herrnstein, 1970) and the generalized matching law (Baum, 1974) accounts for a substantial amount of the variance through several data sets. Even if I agree with most points raised by McDowell, there are 2 important issues within his reanalysis. Two out of 6 studies relied on pooled-subject data that are inappropriate for an investigation of the matching law (Caron, 2013). Moreover, the combined equation was not systemically investigated through all data sets. The current study casts some doubt on the empirical status of modern matching equations and thus shows that they still deserve extensive attention.