The Role of Leader-Member Exchange Relations and Individual Differences on Counterproductive Work Behavior

Although researchers have documented relations between abusive supervision and subordinate counterproductive work behavior (CWB), might CWB result from non-abusive treatment? We address the question by examining the relation between leader-member relations (LMX) and CWB as well as potential mediators and moderators of that relation. One hundred and eighty subordinates completed surveys assessing their LMX quality, entitlement, negative emotions, self-control, and CWB. Twenty-six supervisors also provided CWB data on 88 of those subordinates. We found that subordinates reporting lower quality relations with their supervisors were more likely to experience CWB than other subordinates and that anger mediated that relation. There was some support for the moderating effect of self-control on the negative emotion - CWB relation. Entitlement did not moderate the LMX - anger relation as hypothesized. One implication is that supervisors do not have to treat their subordinates poorly for the subordinates to react negatively and engage in behavior detrimental to their organization.

Assessing the acceptability of individual studies that use deception: A systematic review of normative guidance documents

Research participants are often deceived for methodological reasons. However, assessing the ethical acceptability of an individual study that uses deception is not straightforward. The academic literature is scattered on the subject and several aspects of the acceptability assessment are only scarcely addressed, which parallels reports of inconsistent ethics review. Therefore, we aimed to investigate where normative guidance documents agree and disagree about this assessment. A PRISMA-Ethics-guided systematic review of normative guidance documents that discuss deception of research participants was conducted. Our search strategy resulted in 55 documents that were subsequently analyzed through abductive thematic analysis. While guidance documents mention little about specific risks and opportunities of deception, our analysis describes a rich picture of the thresholds for acceptability of the risks and benefits of deception and their integration, the comparison with the risk-benefit analysis of alternative non-deceptive methods, and the bodies of people who are positioned to do the review. Our review reveals an agreement on the general process of assessing the acceptability of studies that use deception, although significant variability remains in the details and several topics are largely or completely unaddressed in guidance documents.

Standardising job descriptions in the humanitarian supply chain: A text mining approach for recruitment process

PURPOSE

Uncertainty and complexity have increased in recent decades, posing new challenges to humanitarian organisations. This study investigates whether using standard terminology in Human Resource Management processes can support the Humanitarian supply chain in attracting and maintaining highly skilled operators.

METHODOLOGY

We exploit text mining to compare job vacancies on ReliefWeb, the reference platform for humanitarian job seekers, and ESCO, the European Classification of Skills, Competencies, and Occupations. We measure the level of alignment in these two resources, providing quantitative evidence about terminology standardisation in job descriptions for supporting HR operators in the Humanitarian field.

FINDINGS

The most in-demand skills, besides languages, relate to resource management and economics and finance for capital management. Our results show that job vacancies for managerial and financial profiles are relatively more in line with the European database than those for technical profiles. However, the peculiarities of the humanitarian sector and the lack of standardisation are still a barrier to achieving the desired level of coherence with humanitarian policies.

Longitudinal measurement invariance and growth curve modeling of psychological resilience across the deployment cycle

The concept of resilience is embedded within military culture and professional identity. To date, temporal changes in individuals' perceptions of their own resilience have not been systematically assessed in highstakes occupational contexts, like the military. The current study examined change in selfreported resilience over time by: (1) examining the longitudinal measurement invariance of the Brief Resilience Scale (BRS); (2) assessing the longitudinal pattern of resilience across a combat deployment cycle; and (3) examining predictors of postdeployment resilience and change in resilience scores across time. U.S. Army soldiers assigned to a combat brigade completed a survey at four time points over the course of a deployment cycle: (a) prior to deployment to Afghanistan; (b) during deployment; (c) immediately following return to home station; and (d) approximately 2-3 months thereafter. The longitudinal measurement invariance of the BRS was established. Growth curve modeling indicated that, on average, self-reported resilience decreased across the deployment cycle, but there was considerable individual variation in the rate of change. Of note, loneliness, as measured during deployment, predicted the rate of change in self-reported resilience over time. Results have implications for the longitudinal analysis of resilience and for the development of interventions with military personnel.

Origin coordinate influence on performance of temporally extended signal space separation in magnetoencephalography

OBJECTIVE

Temporally extended signal space separation (tSSS) is a powerful method for artifact suppression in magnetoencephalography (MEG). Because tSSS first separates MEG signals coming from inside and outside a certain sphere, definition of the sphere origin is important. For this study, we explored the influence of origin choice on tSSS performance in spontaneous and evoked activity from epilepsy patients.

METHODS

Interictal epileptiform discharges (IEDs) and somatosensory evoked fields (SEFs) were processed with two tSSSs: one with the default origin of (0, 0, 40 mm) in the head coordinate, and the other with an individual origin estimated using each patient's anatomical magnetic resonance imaging (MRI). Equivalent current dipoles (ECDs) were calculated for the data. The ECD location and quality of estimation were compared across conditions.

RESULTS

MEG data from 21 patients revealed marginal differences in ECD location, but the estimation quality inferred from goodness of fit (GOF) and confidence volume (CV) was better for the tSSS with individual origins. This choice affected IEDs more than it affected SEFs.

CONCLUSIONS

Individual sphere model resulted in better GOF and CV.

SIGNIFICANCE

Application of tSSS using an individual origin would be more desirable when available. This parameter might influence spontaneous activity more strongly.

COVID-19 Research in Communication Journals: A Structural Topic Modeling-Assisted Bibliometric Analysis

This article presents a bibliometric analysis of research on COVID-19 health communication. We reviewed and analyzed 1,851 articles published in 170 peer-reviewed communication journals between January 2020 and November 2022, to identify key bibliometric information and major research topics in this rapidly expanding field of research. The distribution of countries indicates that the United States is the most productive country, and researchers from Spain, China and the United Kingdom also play an important role. Health Communication is the most influential journal in terms of research productivity and impact. The analysis of highly cited references demonstrates the interdisciplinary nature of this research field. The topics generated by structural topic modeling show that scholars have responded to a variety of issues in COVID-19 communication, encompassing different levels of health communication, the effects of information dissemination, the impact on the general public as well as vulnerable populations, health preventive behaviors and communication technologies. This study aims to enhance researchers' understanding of the current state of this research field and provide insights for future studies.

Differential Relationships Between Work-Life Interface Constructs and Intention to Stay in or Leave the Profession: Evidence From Midwives in Canada

This paper investigates how positive and negative work-personal life interface constructs are differentially associated with intentions to stay in or leave the profession. The findings help map work-personal life interface constructs on the typology of determinants of intention to stay and intention to leave (disengagers, retainers, criticals, and neutrals). The ordered logistic regression (ologit) modelling of cross-sectional data from a representative sample (n = 601) of midwives in Canada shows that work interference with personal life is a disengager, which has a stronger association with intention to leave than with intention to stay in the profession. Among the work-personal life interface constructs, work enhancement of personal life seems to be the most critical determinant, showing the most substantive association with both intention to stay and intention to leave. This finding suggests that interventions to increase midwives' intention to stay and decrease their intention to leave should focus on amplifying the enhancing effects of working on midwives' personal lives. Interventions that aim to reduce work interference with personal life might be more effective in decreasing intention to leave the profession than increasing intention to stay.

It's (a) Shame: Why Poverty Leads to Support for Authoritarianism

The literature has widely discussed and supported the relationship between poverty and support for authoritarian leaders and regimes. However, there are different claims about the mediating mechanism and a lack of empirical tests. We hypothesize that the effect of poverty on support for authoritarianism is mediated by shame: People living in poverty frequently experience social exclusion and devaluation, which is reflected in feelings of shame. Such shame, in turn, is likely to increase support for authoritarianism, mainly due to the promise of social re-inclusion. We support our hypothesis in two controlled experiments and a large-scale field study while empirically ruling out the two main alternative explanations offered in the literature: stress and anxiety. Finally, we discuss how the present findings can support policymakers in efficiently addressing the negative political consequences of poverty.

On the Disposition to Think Analytically: Four Distinct Intuitive-Analytic Thinking Styles

Many measures have been developed to index intuitive versus analytic thinking. Yet it remains an open question whether people primarily vary along a single dimension or if there are genuinely different types of thinking styles. We distinguish between four distinct types of thinking styles: Actively Open-minded Thinking, Close-Minded Thinking, Preference for Intuitive Thinking, and Preference for Effortful Thinking. We discovered strong predictive validity across several outcome measures (e.g., epistemically suspect beliefs, bullshit receptivity, empathy, moral judgments), with some subscales having stronger predictive validity for some outcomes but not others. Furthermore, Actively Open-minded Thinking, in particular, strongly outperformed the Cognitive Reflection Test in predicting misperceptions about COVID-19 and the ability to discern between vaccination-related true and false news. Our results indicate that people do, in fact, differ along multiple dimensions of intuitive-analytic thinking styles and that these dimensions have consequences for understanding a wide range of beliefs and behaviors.

A latent class analysis of health behavior changes after cancer diagnosis among Hispanic/Latino cancer survivors

PURPOSE

We aimed to identify subgroups of Hispanic/Latino (H/L) cancer survivors with distinct health behavior patterns and their associated sociodemographic, medical, and psychosocial characteristics.

METHODS

Baseline data were used from a randomized clinical trial evaluating the efficacy of an enhanced patient navigation intervention in H/L cancer survivors. Participants (n = 278) completed the Lifestyle Behavior Scale and validated questionnaires on health-related quality of life (HRQOL), supportive care needs, distress, and satisfaction with cancer care. Latent class analysis was used to determine the latent classes and associated characteristics.

RESULTS

Three latent classes emerged: class 1 (survivors who increased health behaviors [e.g., exercising and eating healthy] since diagnosis); class 2 (no changes in health behaviors since diagnosis); and class 3 (a "mixed class," with a higher or lower engagement across various health behaviors since diagnosis). Participants in class 1 were significantly more educated and less likely to be foreign born. Participants in class 2 were significantly older and more likely to have prostate cancer. H/L cancer survivors in class 3 had a significantly lower income, were less educated, and reported greater unmet supportive care needs, more distress, and poorer HRQOL.

CONCLUSIONS

Survivors who report engaging in health behaviors less frequently since diagnosis may be experiencing psychosocial challenges and health disparities.

IMPLICATIONS FOR CANCER SURVIVORS

Hispanic/Latino cancer survivors may benefit from screening for social determinants of health and mental health needs, prompt referral to supportive care services, community resources, and public services, and participating in culturally informed psychosocial interventions to address their unique needs.

Revalidating a Measure of Parents' Attitudes Toward Gender and Sexuality Diversity-Inclusive Curricula in an Australian National Sample

This paper details revalidation of a higher-order (HO) version of the Parental Attitudes Toward Inclusiveness Instrument (PATII), measuring parents' attitudes toward curricular inclusivity of gender and sexuality diversity. The 48-item scale includes two HO factors: Supports and Barriers, and one first-order factor: Parental Capability. Responses from parents of government-school students (N = 2093) provided evidence for scale reliability, validity, and measurement invariance.

First Comes Substance Use, Then Comes Social Media Posts? Examining the Temporal Ordering and Relative Strength of Relations Across Alcohol, Tobacco and Marijuana Use and Posting Behavior

Social media posts represent a major route by which youth share their substance use cognitions and experiences with others. Extant research has primarily examined relations between alcohol-related posts and posters' own alcohol use, yet little is known about the role of social media in the use of less socially accepted substances, namely tobacco and marijuana. Our study represents the first to examine the relative strength of this relation across alcohol, tobacco, and marijuana. The current research used a one-month time lag to tease apart the temporal ordering of substance-use-posting and participants' own substance use. A sample of 282 15-20-year-olds (Mage = 18.4, SD = 1.3, 52.9% female) in the United States completed two self-report surveys, one month apart. Results of a cross-lagged panel model revealed significant effects of alcohol and marijuana consumption on subsequent alcohol- and marijuana-related posting, respectively (i.e., selection effects). However, reverse relations (i.e., self-effects) were not significant. Further, we found no differences in the strength of selection effects across substances, suggesting they are similar for both more (alcohol) and less (marijuana and tobacco) socially acceptable substances. Results point to the importance of using young people's social media posts as a way to help identify individuals at risk for heightened substance use and social media as a mechanism for targeted prevention programming.

The Social Shapes Test as a Self-Administered, Online Measure of Social Intelligence: Two Studies with Typically Developing Adults and Adults with Autism Spectrum Disorder

The Social Shapes Test (SST) is a measure of social intelligence which does not use human faces or rely on extensive verbal ability. The SST has shown promising validity among adults without autism spectrum disorder (ASD), but it is uncertain whether it is suitable for adults with ASD. We find measurement invariance between adults with (n = 229) or without ASD (n = 1,049) on the 23-item SST. We also find that adults without ASD score higher on the SST than adults with ASD (d = 0.21). We also provide two, 14-item versions which demonstrated good parallel test-retest reliability and are positively related to scores on the Frith-Happé task. The SST is suitable for remote, online research studies.

Examining the Psychometric Properties of the HBI-19 Scale in a Sample of Women with Persistent Genital Arousal Symptoms

Persistent Genital Arousal Disorder/Genito-Pelvic Dysesthesia (PGAD/GPD) is a highly distressing, yet poorly understood health concern characterized by persistent, unwanted, and unpleasant genital arousal sensations in the absence of psychological arousal and desire. PGAD/GPD symptoms can be reduced by engaging in frequent sexual behaviors, meaning that hypersexual behavior may be present as a feature of PGAD/GPD in some cases. Given this association and the current lack of measures designed for assessment of PGAD/GPD specifically, the present study aimed to investigate the psychometric properties of the Hypersexual Behavior Inventory (HBI-19) in a sample of women with PGAD/GPD symptoms. Specifically, the factor structure of the HBI-19 was explored via Exploratory Factor Analysis (EFA) as well as evaluation of model fit indices and reliability indices (Cronbach's alpha). EFA revealed a two-factor structure for the HBI-19 in the sample of women with PGAD/GPD symptoms, differing from the originally validated three-factor structure. RMSEA as well as TLI values suggested poor fit for all three models examined, including the two-factor model, while SRMR suggested good fit for the two-factor and three-factor model and suggested poor fit for the one-factor models. These findings suggest measurement non-invariance at the configural level and indicate that hypersexual behavior is best understood as a possible feature of PGAD/GPD as opposed to a core element of PGAD/GPD.

Humanizing Dementia: Effects of Counter-Stereotypical Messages on Patronizing Speech toward People with a Stigmatized Health Condition

Patronizing speech and dehumanization both have negative impacts on the health and wellbeing of the recipients of these behaviors. This experiment applied Fiske's stereotype content model, Haslam's dual model of dehumanization, and Hummert's model of patronizing speech to assess the effects of warmth- and competence-enhancing messages about a person with dementia on perceptions of humanness and patronizing speech toward people with dementia. Results supported our predictions that warmth- and competence-enhancing messages would translate into general tendencies to humanize people with dementia as a group. Predicted effects on patronizing communication did not materialize, but there were some unanticipated ways in which warmth- and competence-enhancing messages did influence intentions to use patronizing speech.

Attention-deficit/hyperactivity disorder (ADHD) and anxiety during the COVID-19 pandemic: Implications for internalizing behaviors in college students

Objective: The purpose of this study was to delineate the moderating roles of negative experiences related to the coronavirus disease 2019 (COVID-19) on the association between Attention-Deficit/Hyperactivity Disorder symptoms and anxiety symptoms and internalizing behaviors during Fall 2020. Method: Participants were 200 college students. Using a moderated moderation model, researchers found that attention-deficit/hyperactivity disorder symptoms predicted anxiety symptoms for those who internalized behaviors and experienced COVID-19 more negatively. Results: Results suggested that ADHD symptoms were playing a role in the manifestation of anxiety symptoms during the COVID-19 pandemic and that college students who internalize behaviors experienced worsened ADHD symptoms. Conclusion: Clinical implications underscore the importance of providing mental health resources for students on campus, particularly during the COVID-19 pandemic. Specialized treatment may include help with developing time management skills and teaching interventions such as mindfulness exercises that may help alleviate anxiety and improve attention and concentration.

Objective Communication Patterns Associated With Team Member Effectiveness in Real-World Virtual Teams

OBJECTIVE

We explore the relationships between objective communication patterns displayed during virtual team meetings and established, qualitative measures of team member effectiveness.

BACKGROUND

A key component of teamwork is communication. Automated measures of objective communication patterns are becoming more feasible and offer the ability to measure and monitor communication in a scalable, consistent and continuous manner. However, their validity in reflecting meaningful measures of teamwork processes are not well established, especially in real-world settings.

METHOD

We studied real-world virtual student teams working on semester-long projects. We captured virtual team meetings using the Zoom video conferencing platform throughout the semester and periodic surveys comprising peer ratings of team member effectiveness. Leveraging audio transcripts, we examined relationships between objective measures of speaking time, silence gap duration and vocal turn-taking and peer ratings of team member effectiveness.

RESULTS

Speaking time, speaking turn count, degree centrality and (marginally) speaking turn duration, but not silence gap duration, were positively related to individual-level team member effectiveness. Time in dyadic interactions and interaction count, but not interaction length, were positively related to dyad-level team member effectiveness.

CONCLUSION

Our study highlights the relevance of objective measures of speaking time and vocal turn-taking to team member effectiveness in virtual project-based teams, supporting the validity of these objective measures and their use in future research.

APPLICATION

Our approach offers a scalable, easy-to-use method for measuring communication patterns and team member effectiveness in virtual teams and opens the opportunity to study these patterns in a more continuous and dynamic manner.

Further exploration of the effects of time-varying covariate in growth mixture models with nonlinear trajectories

Growth mixture modeling (GMM) is an analytical tool for identifying multiple unobserved sub-populations in longitudinal processes. In particular, it describes change patterns within each latent sub-population and investigates between-individual differences in within-individual change for each sub-group. A key research interest in using GMMs is examining how covariates influence the heterogeneity in change patterns. Liu & Perera (2022b) extended mixture-of-experts (MoE) models, which primarily focus on time-invariant covariates, to allow covariates to account for both within-group and between-group differences and investigate the heterogeneity in nonlinear trajectories. The present study further extends Liu & Perera, 2022b by examining the effects of time-varying covariates (TVCs) on trajectory heterogeneity. Specifically, we propose methods to decompose a TVC into an initial trait (the baseline value of the TVC) and a set of temporal states (interval-specific slopes or changes of the TVC). The initial trait is allowed to account for within-group differences in growth factors of trajectories (i.e., baseline effect), while the temporal states are allowed to impact observed values of a longitudinal process (i.e., temporal effects). We evaluate the proposed models using a simulation study and real-world data analysis. The simulation study demonstrates that the proposed models are capable of separating trajectories into several clusters and generally producing unbiased and accurate estimates with target coverage probabilities. The proposed models reveal the heterogeneity in initial trait and temporal states of reading ability across latent classes of students' mathematics performance. Additionally, the baseline and temporal effects on mathematics development of reading ability are also heterogeneous across the clusters of students.

Remotely delivered exercise to older rural cancer survivors: a randomized controlled pilot trial

PURPOSE

The study aimed to determine the feasibility of remotely delivered exercise (tele-exercise) for older, rural cancer survivors and to explore the effects of tele-exercise on physical function, physical activity, and patient-reported outcomes.

METHODS

Participants were rural cancer survivors age ≥ 60 years (79% female; mean age 70.4 ± 5.7) randomly assigned to the remotely delivered EnhanceFitness (tele-EF) exercise program, inclusive of aerobic, strength, and balance training and led by American Council on Exercise certified instructors for 1 h, 3 days/week for 16 weeks (n = 20) or to a waitlist control group (n = 19). We assessed feasibility, physical function, accelerometer-measured physical activity, and patient-reported outcomes at baseline and post intervention.

RESULTS

Among those screened as eligible, 44 (64%) consented to participate with 39 randomized after completing baseline measures. Attrition was equivalent between groups (n = 1, each) with 95% completing the study. The median class attendance rate was 86.9% (interquartile range: 79-94%). Compared to controls, tele-EF participants had statistically significant improvement in the five-time sit-to-stand test (- 3.4 vs. - 1.1 s, p = 0.03, effect size = 0.44), mean daily light physical activity (+ 38.5 vs 0.5 min, p = 0.03, effect size = 0.72) and step counts (+ 1977 vs. 33, p = 0.01, effect size = 0.96). There were no changes in self-efficacy for exercise, fatigue, or sleep disturbance between groups.

CONCLUSIONS

Findings indicate that tele-EF is feasible in older, rural cancer survivors and results in positive changes in physical function and physical activity.

IMPLICATIONS FOR CANCER SURVIVORS

Tele-EF addresses common barriers to exercise for older, rural cancer survivors, including limited accessible opportunities for professional instruction and supervision.

Self-concealment, secrecy, and guilt

OBJECTIVE

Individuals with a tendency to conceal unflattering information about themselves are more likely to be preoccupied by their secrets and tend to report more negative affect. According to theory, this negative affect is due to self-concealers' conflicting motivation to be authentic in their relationship but fear the negative consequences should they reveal their secrets, which promotes ill-fated attempts to suppress. The purpose of the current study was to test a central component of this model.

METHODS

Two studies of adults who were in a romantic relationship and keeping a secret from their partner (combined N = 635; 67.2% women; Mage  = 39.6, SD = 11.9) were surveyed on four biweekly occasions. Multilevel mediation analyses were conducted to test whether preoccupation and suppression mediated the link between self-concealing and negative affect and guilt.

RESULTS

The data support the hypotheses. Self-concealers were more preoccupied with and prone to suppress their secret than those low on the trait, which, in turn, predicted greater negative affect and guilt.

CONCLUSION

The findings suggest that self-concealers' insecurities and fear of the relational consequences of disclosure set the stage for the debilitating cycle of suppression and preoccupation that leaves them feeling anxious and guilty.

How Cat-Behavior Advisors Can Improve Clients' Willingness to Adopt their Advice: An Investigation of Advice Severity, Advisor Credibility, and Clients' Self-Identity

Feline behavioral problems can be treated successfully by good advice from cat-behavior advisors, but guardians often do not comply with their advice. An experimental survey under 703 cat guardians was used to investigate what advisors can do to increase their clients' compliance with environmental enrichment advice. By systematically varying the credibility of the advisor and the severity of their advice, the hypothesis was confirmed that highly credible advisors elicit more positive attitudes and compliance intentions than less credible advisors. Also as expected, mild advice resulted in stronger compliance intentions than severe advice because guardians believed they were better able to incorporate the required actions. Finally, guardians who more strongly thought of themselves as cat guardians were more likely to adopt the advice because they believed that other cat guardians would do the same. The investigation of factors that can increase cat guardians' compliance with advisors' recommendations for the treatment of behavioral problems is crucial because the wellbeing of domestic cats lies in the hands of their guardians. Several practical recommendations for cat-behavior advisors are offered.

The interaction between voice disorders and stress for work ability of teachers

OBJECTIVE

Less attention has been paid to the interaction between voice disorders, stress, and indoor environmental quality for work ability in teachers. Therefore, our aim was to study whether lower work ability associated more strongly when the variables of voice disorders and stress at work were combined as opposed to evaluating these two factors separately.

METHODS

We conducted a questionnaire study including validated self-assessment of work ability and a technical assessment of school buildings utilizing a sample of 1198 and a subsample (n = 538) of Finnish teachers.

RESULTS

When combined, voice disorders and stress at work had a stronger association to decreased work ability than when they were evaluated separately. The occurrence of stress was more prevalent in poor and moderate work ability than the occurrence of voice disorders. Nine out of 10 of the teachers who had neither voice disorders nor stress reported good work ability, while four out of 10 of the teachers who suffered from both voice disorders and stress had poor work ability. As regards the background variables, nearly half of the subjects working in the non-problem buildings have neither stress nor voice disorders.

DISCUSSION

We recommend offering support for reducing stress at work to improve teachers' work performance. The findings also support the maintenance of school buildings and keeping them in good condition. Follow-up studies are needed to investigate the possible effects of voice disorders and the associated variables on work ability.

The Methodological Quality and Intervention Fidelity of Randomised Controlled Trials Evaluating Social Skills Group Programs in Autistic Adolescents: A Systematic Review and Meta-analysis

A systematic review and meta-analysis were utilised to explore the methodological quality, program fidelity, and efficacy of social skills group programs (SSGPs) aiming to support autistic adolescents in navigating their everyday social worlds. The study evaluated the methodological quality and theoretical fidelity of studies, with a random effect meta-analysis conducted to summarise the overall efficacy of SSGP and its effect on social communication and interaction, behavioural/emotional challenges, adaptive functioning, and autism characteristics. Although findings from the 18 identified studies indicated an adjusted medium overall effect with these programs successfully supporting autistic adolescents' socialisation needs (g = 0. 60, p < 0.001), most studies demonstrated medium to low program fidelity despite their good methodological quality. Given the significant heterogeneity of SSGPs and variations in the design and measurement frameworks of efficacy studies, understanding the generalisability of the findings of this research is unclear.

A Novel Indicator to Correct for Individual Reported Heterogeneity. An Application to Self-Evaluation of Later-Life Depression

Program evaluations often investigate complex or multi-dimensional constructs, such as individual opinions or attitudes, by means of ratings. A different interpretation of the same question may affect cross-country comparability, leading to the Differential Item Functioning problem. Anchoring vignettes were introduced in the literature as a way to adjust self-evaluations from this interpersonal incomparability. In this paper, we first introduce a new nonparametric solution to analyse anchoring vignette data, recoding a variable based on a rating scale to a new corrected-variable that guarantees comparability in any cross-country analysis. Then, we exploit the flexibility of a mixture model introduced to account for uncertainty in the response process (the CUP model) to test if the proposed solution is effectively able to remove this reported heterogeneity. This solution is easy to construct and has important advantages compared with the original nonparametric solution adopted with anchoring vignette data. The novel indicator is applied to investigate self-reported depression in an old population. Data that will be analysed come from the second wave of the Survey of Health, Ageing and Retirement in Europe, collected in 2006/2007. Results highlight the need of correcting for reported heterogeneity comparing individual self-evaluations. Once interpersonal incomparability resulting from the different uses of response scales is removed from the self-assessments, some estimates are reversed in magnitude and signs with respect to the analysis of the collected data.

Examining Measurement Invariance in the Personality Inventory for DSM-5 Brief Form Across Sexual and Gender Minority Status

The Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Brief Form (PID-5-BF) was developed with an assumption of invariance across sexual and gender minority (SGM) individuals. This assumption has yet to be tested empirically. Using multigroup confirmatory factor analysis, we examined measurement invariance in the PID-5-BF across the SGM status in clinical (N = 1,174; n = 254 SGM) and nonclinical (N = 1,456; n = 151 SGM) samples. Measurement invariance was supported for the PID-5-BF structure, item thresholds, and factor loadings, but not at the item intercept level. SGM individuals endorsed higher negative affectivity, antagonism, disinhibition, and psychoticism domains in both samples. In the clinical sample, adjusting for partial invariance decreased detachment and antagonism levels for SGM persons. In the nonclinical sample, adjusting for partial invariance reduced antagonism disparities in the SGM group, even rendering original group differences null. Our results support the use of the PID-5-BF in SGM populations but indicate that some measurement bias may drive observed disparities in maladaptive trait domains and, in turn, personality disorder diagnosis.

Winning isn't everything: Guilt proneness and competitive vs. non-competitive motivation

OBJECTIVE

Guilt proneness is associated with both high motivation to succeed and enhanced concern for others. However, in competition, achieving success requires harming others' interests, which demotivates guilt-prone individuals. Given the prevalence of competition in social and professional life, we examine the relation between guilt proneness, general motivation, and competitive motivation.

METHOD

Two experiments and two laboratory studies (N = 1735) measured guilt proneness, general motivation, and competitive motivation, and their effects on competitive preferences and choices. Study settings included students' choice of playing a game individually vs. competitively (Study 1), physicians' likelihood to seek residency in medical fields characterized by high competitiveness (Study 2), amateur athletes' preferences between inclusive and win-oriented team strategies (Study 3), and online workers' evaluations of a hypothetical scenario (Study 4).

RESULTS

Guilt proneness was related positively to general motivation, but negatively to competitive motivation. Guilt proneness, indirectly through lower competitive motivation, predicted a lower likelihood of pursuing competitive paths and preference for non-competitive strategies. Emphasizing prosocial aspects of competitiveness attenuated these effects.

CONCLUSIONS

Guilt proneness is related to high general motivation but to a lower desire to win. Guilt-prone individuals strive for excellence, but through non-competitive paths, whereas people with lower guilt proneness prefer competing.

Open-hearted: Preferences for openness in the agreeableness domain

OBJECTIVE

Open objects encourage interactivity and closed objects discourage it. Repeated experiences with open and closed objects are thought to give rise to spatial concepts that can be used to represent a variety of entities such as societies, others, and the self. The present investigation pursues the idea that preferring that which is open to that which is closed is more compatible with an agreeable mode of interacting with others.

METHOD

Three studies (total N = 901) asked participants whether they preferred "open" or "closed" as spatial concepts. Such preferences were linked to variations in agreeableness, peer perceptions, and daily measures of pro-social functioning.

RESULTS

Open-preferring, relative to closed-preferring, individuals scored higher in agreeableness (Study 1) and were rated by peers as interpersonally warmer (Study 2). Open preferences varied within and across persons in a daily diary protocol and, in both cases, higher levels of open preference were linked to higher levels of pro-social feeling (Study 3).

CONCLUSION

The findings point to a fundamental component of spatial orientation that plays a significant role in encouraging (open) or discouraging (closed) warm, interactive relations with others.

Impact of a Mindfulness Mobile Application on Weight Loss and Eating Behavior in People with Metabolic Syndrome: a Pilot Randomized Controlled Trial

BACKGROUND

Weight-loss approaches involving mindfulness have been reported to reduce overeating behavior. We conducted a preliminary evaluation of the feasibility and effectiveness of a mindfulness mobile application (MMA) combined with a comprehensive lifestyle intervention (CLI) focused on weight loss and eating behaviors for people with metabolic syndrome based on post-intervention follow-up data.

METHOD

Participants were randomly assigned (1:1) to a CLI group or a CLI + MMA group. Participants received weekly CLI for 13 weeks, followed by telephone counseling for 13 weeks. The CLI + MMA group also had access to the MMA. Feasibility was assessed by the number of people who refused to participate, rate of adherence to the MMA, follow-up rate, and participant satisfaction. The preliminary endpoint was weight change (at 26 weeks). Participants completed the Dutch Eating Behavior Questionnaire (DEBQ). A mixed linear model was used for efficacy analysis.

RESULTS

Eight of the 40 participants declined to participate. The MMA was used 4.4 ± 1.7 days per week, but the rate of adherence declined over time. The follow-up rate was 100%, and there was no difference in participant satisfaction between the groups. There was no significant group-by-time interaction for weight loss (p = 0.924), but there was a significant interaction for the DEBQ restrained eating score (p = 0.033).

CONCLUSIONS

This study found that CLI plus MMA was highly feasible and moderately acceptable. There were no significant differences in weight loss between the groups, but the CLI + MMA group showed an increase in restrained eating. Further large-scale studies are needed.

TRIAL REGISTRATION

Japanese University Hospital Medical Information Network (UMIN-ICDR). Clinical Trial identifier number UMIN000042626.

Measuring the menu, not the food: "psychometric" data may instead measure "lingometrics" (and miss its greatest potential)

This is a review of a range of empirical studies that use digital text algorithms to predict and model response patterns from humans to Likert-scale items, using texts only as inputs. The studies show that statistics used in construct validation is predictable on sample and individual levels, that this happens across languages and cultures, and that the relationship between variables are often semantic instead of empirical. That is, the relationships among variables are given a priori and evidently computable as such. We explain this by replacing the idea of "nomological networks" with "semantic networks" to designate computable relationships between abstract concepts. Understanding constructs as nodes in semantic networks makes it clear why psychological research has produced constant average explained variance at 42% since 1956. Together, these findings shed new light on the formidable capability of human minds to operate with fast and intersubjectively similar semantic processing. Our review identifies a categorical error present in much psychological research, measuring representations instead of the purportedly represented. We discuss how this has grave consequences for the empirical truth in research using traditional psychometric methods.

Disclosing One's Non-Heterosexual Sexual Orientation at Work in 2020: A Survey of Quebec LGBQ Workers

Concealing one's non-heterosexual orientation (NHO) remains a protection strategy against workplace discrimination used by many lesbian, gay, bisexual, and queer (LGBQ+) individuals. This article explores four sets of correlates (identity and individual trajectory, social support, professional position, and structural and cultural work context) relative to three levels of outness (total, partial, and null). Online cross-sectional data of 2,106 LGBQ+ participants from Quebec (Canada) showed that 27% reported total outness, while 64% reported partial outness, and 9%, null outness. Multinomial hierarchical regression analyses revealed that each set of correlates significantly contributed to levels of workplace NHO outness. The two sets of variables making the largest contributions to levels of outness were those pertaining to identity and individual trajectory (14% of the variance) and structural and cultural work context (9%). Compared to partial outness, null outness was associated with an unaccepting work climate, while total outness was more likely in contexts with organizational support (e.g., with the presence of an inclusivity policy). Without trivializing the influence of non-workplace factors on outness levels, the present findings support the need to develop an inclusive and accepting work climate for LGBQ+ individuals.

The effects of listening with "time-sharing" on psychological safety and social anxiety: the moderating role of narcissism and depression

Listeners who interrupt speakers upset the speakers and prevent the benefits of good listening. Interruptions can be avoided with "time-sharing," where each partner listens (silently) for an equal amount of time. Yet, is time-sharing good for all? In an experiment with 50 pairs (95 participants with useable data), participants conversed freely for one minute and were then assigned either to a time-sharing (of three minutes each) or a free conversation condition. Consistent with our hypotheses, speakers in the time-sharing condition showed reduced social anxiety if they were high on narcissism but elevated social anxiety if high on depression, explaining past inconsistent effects of time-sharing.

Mental Health and Well-being Measures for Mean Comparison and Screening in Adolescents: An Assessment of Unidimensionality and Sex and Age Measurement Invariance

Adolescence is a period of increased vulnerability for low well-being and mental health problems, particularly for girls and older adolescents. Accurate measurement via brief self-report is therefore vital to understanding prevalence, group trends, screening efforts, and response to intervention. We drew on data from the #BeeWell study (N = 37,149, aged 12-15) to consider whether sum-scoring, mean comparisons, and deployment for screening were likely to show bias for eight such measures. Evidence for unidimensionality, considering dynamic fit confirmatory factor models, exploratory graph analysis, and bifactor modeling, was found for five measures. Of these five, most showed a degree of non-invariance across sex and age likely incompatible with mean comparison. Effects on selection were minimal, except sensitivity was substantially lower in boys for the internalizing symptoms measure. Measure-specific insights are discussed, as are general issues highlighted by our analysis, such as item reversals and measurement invariance.

Therapy matchmaking: Patient-therapist match in personality traits and attachment style

OBJECTIVE

This study examined the relationships between patient-therapist similarity and therapy outcome. We aimed to explore whether patient-therapist match in personality and attachment styles leads to a better therapy outcome.

METHOD

We collected data from 77 patient-therapist dyads in short-term dynamic therapy. Patients' and therapists' personality traits (Big-5 Inventory) and attachment styles (ECR) were assessed prior to beginning therapy. Outcome was measured on the OQ-45.

RESULTS

When patients and therapists scored either high or low on neuroticism and conscientiousness we found a decrease in symptoms from beginning to end of therapy. When patients' and therapists' combined scores were either high or low on attachment anxiety, we found an increase in symptoms.

CONCLUSION

Match or mismatch on personality and attachment style in therapy dyads contributes to therapy outcome.

Measuring Intellectual Curiosity across Cultures: Validity and Comparability of a New Scale in Six Languages

Intellectual curiosity-the tendency to seek out and engage in opportunities for effortful cognitive activity-is a crucial construct in educational research and beyond. Measures of intellectual curiosity vary widely in psychometric quality, and few measures have demonstrated validity and comparability of scores across multiple languages. We analyzed a novel, six-item intellectual curiosity scale (ICS) originally developed for cross-national comparisons in the context of the OECD's Programme for the International Assessment of Adult Competencies (PIAAC). Samples from six countries representing six national languages (U.S. Germany, France, Spain, Poland, and Japan; total N = 5,557) confirmed that the ICS possesses very good psychometric properties. The scale is essentially unidimensional and showed excellent reliability estimates. On top of factorial validity, the scale demonstrated strict measurement invariance across demographic segments (gender, age groups, and educational strata) and at least partial scalar invariance across countries. As per its convergent and divergent associations with a broad range of constructs (e.g., Open-Mindedness and other Big Five traits, Perseverance, Sensation Seeking, Job Orientations, and Vocational Interests), it also showed convincing construct validity. Given its internal and external relationships, we recommend the ICS for assessing intellectual curiosity, especially in cross-cultural research applications, yet we also point out future research areas.

Contrasting Direct Instruction in Morphological Decoding and Morphological Inquiry-Analysis Interventions in Grade 3 Children With Poor Morphological Awareness

We report on a school-based randomized control trial study comparing two morphological interventions with untaught controls: one focusing on direct instruction targeting print morphological decoding (direct decoding condition) and the other on inquiry-focused pedagogy using oral morphological analysis (inquiry-analysis condition). We identified 63 Grade 3 children with below-average morphological awareness following screening (from N = 163). This sub-sample showed average pseudoword decoding but poor language and word reading abilities. Following a 13-week supplemental intervention randomized within the 63 children, results showed a statistically significant main effect of intervention on standardized reading vocabulary measures at immediate post-test in the direct decoding condition. Pre-test morphological awareness moderated reading vocabulary effects for the untaught control group. Statistically significant moderation of growth in sentence comprehension at post- by pre-test morphological awareness was also evident in the inquiry-analysis condition. Universal screening for below-average morphological awareness followed by inquiry-based or direct instruction interventions focusing on the meaning dimensions of morphemes may be modestly efficacious for supporting reading vocabulary and sentence comprehension in such at risk learners, potentially aiding school-wide literacy improvement.

Outcome metrics utilized in evaluations of programs and interventions for combat and operational stress: A review of psychometric properties

The Department of Defense has mandated combat and operational stress control (COSC) efforts for the Services since 1999. Although several COSC-related programs have been implemented, few have undergone evaluation, and no standardized metrics have been established to assess their effectiveness and utility. The purpose of this review was to characterize the content and psychometrics of measures that have been utilized as outcome metrics in evaluations of COSC-related programs and interventions. Systematic literature searches were conducted for publications that: a) evaluated at least one measure from U.S. service members who participated in a program or intervention to prevent or reduce the adverse effects of combat and operational stress; and b) reported U.S. data on the internal consistency, test-retest reliability, convergent validity, and sensitivity/specificity of the identified measures. This process identified 15 measures for which psychometric properties were reviewed for acceptability based on recommended criteria. Identified measures varied from well-validated measures to newer instruments for which more data is needed on one or more of the target psychometric properties. Aside from internal consistency, psychometric data from U.S. military samples were sparse. Results further suggested that some measures might have reduced sensitivity in service members under certain conditions, such as large-scale screening. Additional studies are needed to validate COSC-relevant measures in service members. Future evaluations of programs and interventions for combat and operational stress should select measures that will increase the consistency of the literature, allow comparisons across studies, and ensure alignment with the objectives of identified programs.

Latent trajectories of recent and delayed memory and their predictors: evidence from SHARE

OBJECTIVES

Cognitive decline is common in the old age, but some evidence suggests it may already occur during adulthood. Previous studies have linked age, gender, educational attainment, depression, physical activity, and social engagement to better cognitive performance over time. However, most studies have used global measures of cognition, which could mask subtle changes in specific cognitive domains. The aim of this study is to examine trajectories of recent and delayed memory recall from a variable-centered perspective, in order to elucidate the impact of age, gender, educational attainment, depression, physical activity, and social engagement on recent and delayed memory both at initial time and across a 10-year period.

DESIGN AND PARTICIPANTS

The sample was formed by 56,616 adults and older adults that participated in waves 4 to 8 of the Survey of Health, Aging and Retirement in Europe (SHARE).

ANALYSES

We used latent growth modeling to establish latent recent and delayed memory trajectories, and then tested the effects of the aforementioned covariates on the latent intercept and slopes.

RESULTS

Results showed that both recent and delayed recall display a quadratic trajectory of decline. All covariates significantly explained initial levels of immediate and delayed recall, but only a few had statistically significant effects on the slope terms.

CONCLUSIONS

We discuss differences between present results and those previously reported in studies using a person-centered approach. This study provides evidence of memory decline during adulthood and old adulthood. Further, results provide support for the neural compensation reserve theory.

Modeling insufficient effort responses in mixed-worded scales

Surveys often add reverse-coded questions to monitor respondents with insufficient effort responses (IERs) but often wrongly assume that all respondents consistently answer all questions with full effort. By contrast, this study expanded the mixture model for IERs and ran a simulation via LatentGOLD to show the harmful consequences of ignoring IERs to positively and negatively worded questions: less test reliability, bias and less accuracy in slope and intercept parameters. We showed its practical application to two public data sets: Machiavellianism (five-point scale) and self-reported depression (four-point scale).

Validation of a Novel Clinical Dyspnea Scale - A Retrospective Pilot Study

Objective: to examine the validity of a novel dyspnea scale, Edmonton Dyspnea Inventory in idiopathic pulmonary fibrosis (IPF). Methods: Edmonton Dyspnea Inventory (EDI), is a clinical instrument to measure dyspnea severity with activities of daily living, exercise and rest using a numeric rating scale (0 -10). Consecutive IPF patients (2012-2018) with baseline MRC and EDI were included. To validate EDI, psychometric analysis was conducted. Correlations between EDI, MRC and lung function were examined. Group-based trajectory modeling was used to group patients based on dyspnea severity. Net Reclassification Improvement (NRI) was calculated to assess the improvement in 1-year mortality prediction by adding trajectory groups to MRC grade. Results: 100 consecutive IPF patients were identified; mean age 73 years (SD = 9) and 65% males; 73% were in MRC grades ≥3. Item analysis showed all 8 EDI components have excellent discrimination power with ability to differentiate patients with varying dyspnea severity. EDI has good internal consistency (Cronbach α = .92). Exploratory factor analysis showed a one-factor solution with loadings from .66 to .89 suggesting 8 EDI components measured essentially one dimension of dyspnea. All EDI components were correlated with MRC and some with lung function. Modeling data identified three EDI dyspnea severity groups with differing mortality (P = .009). The addition of EDI dyspnea severity groups to the MRC score improved 1-year mortality prediction (NRI = .66; 95% CI, .18-1.14). Conclusions: EDI is a valid dyspnea instrument, correlated with MRC and lung function. It can categorize IPF patients into 3 dyspnea severity groups associated with increased mortality. Key Message: We describe the development of a novel scale, Edmonton Dyspnea Inventory, that facilitates measurement of dyspnea severity in the context of daily activities in patients with IPF. The results indicate that the new instrument is valid and correlated to MRC. It identifies 3 categories of severity not recognized by MRC with impact on mortality. Knowledge of dyspnea severity can help triage patients and assign appropriate therapies.

A Stan tutorial on Bayesian IRTree models: Conventional models and explanatory extension

IRTree models have been receiving increasing attention. However, to date, there are limited sources that provide a systematic introduction to Bayesian modeling techniques using modern probabilistic programming frameworks for the implementation of IRTree models. To facilitate the research and application of IRTree models, this paper introduces how to perform two families of Bayesian IRTree models (i.e., response tree models and latent tree models) in Stan and how to extend them in an explanatory way. Some suggestions on executing Stan codes and checking convergence are also provided. An empirical study based on the Oxford Achieving Resilience during COVID-19 data was conducted as an example to further illustrate how to apply Bayesian IRTree models to address research questions. Finally, strengths and future directions are discussed.

Simultaneous estimation of the intermediate correlation matrix for arbitrary marginal densities

A popular approach to the simulation of multivariate, non-normal data in the social sciences is to define a multivariate normal distribution first, and then alter its lower-dimensional marginals to achieve the shape of the distribution intended by the researchers. A consequence of this process is that the correlation structure is altered, so further methods are needed to specify an intermediate correlation matrix in the multivariate normal distribution step. Most of the techniques available in the literature estimate this intermediate correlation matrix bivariately (i.e., correlation by correlation), risking the possibility of generating a non-positive definite matrix. The present article addresses this issue by offering an algorithm that estimates all elements of the intermediate correlation matrix simultaneously, through stochastic approximation. A small simulation study demonstrates the feasibility of the present method to induce the correlation structure both in simulated and empirical data.

Dynamic structural equation models with binary and ordinal outcomes in Mplus

Intensive longitudinal designs are increasingly popular, as are dynamic structural equation models (DSEM) to accommodate unique features of these designs. Many helpful resources on DSEM exist, though they focus on continuous outcomes while categorical outcomes are omitted, briefly mentioned, or considered as a straightforward extension. This viewpoint regarding categorical outcomes is not unwarranted for technical audiences, but there are non-trivial nuances in model building and interpretation with categorical outcomes that are not necessarily straightforward for empirical researchers. Furthermore, categorical outcomes are common given that binary behavioral indicators or Likert responses are frequently solicited as low-burden variables to discourage participant non-response. This tutorial paper is therefore dedicated to providing an accessible treatment of DSEM in Mplus exclusively for categorical outcomes. We cover the general probit model whereby the raw categorical responses are assumed to come from an underlying normal process. We cover probit DSEM and expound why existing treatments have considered categorical outcomes as a straightforward extension of the continuous case. Data from a motivating ecological momentary assessment study with a binary outcome are used to demonstrate an unconditional model, a model with disaggregated covariates, and a model for data with a time trend. We provide annotated Mplus code for these models and discuss interpretation of the results. We then discuss model specification and interpretation in the case of an ordinal outcome and provide an example to highlight differences between ordinal and binary outcomes. We conclude with a discussion of caveats and extensions.

Improving the reliability and validity of the IAT with a dynamic model driven by similarity

The Implicit Association Test (IAT), like many behavioral measures, seeks to quantify meaningful individual differences in cognitive processes that are difficult to assess with approaches like self-reports. However, much like other behavioral measures, many IATs appear to show low test-retest reliability and typical scoring methods fail to quantify all of the decision-making processes that generate the overt task performance. Here, we develop a new modeling approach for IATs based on the geometric similarity representation (GSR) model. This model leverages both response times and accuracy on IATs to make inferences about representational similarity between the stimuli and categories. The model disentangles processes related to response caution, stimulus encoding, similarities between concepts and categories, and response processes unrelated to the choice itself. This approach to analyzing IAT data illustrates that the unreliability in IATs is almost entirely attributable to the methods used to analyze data from the task: GSR model parameters show test-retest reliability around .80-.90, on par with reliable self-report measures. Furthermore, we demonstrate how model parameters result in greater validity compared to the IAT D-score, Quad model, and simple diffusion model contrasts, predicting outcomes related to intergroup contact and motivation. Finally, we present a simple point-and-click software tool for fitting the model, which uses a pre-trained neural network to estimate best-fit parameters of the GSR model. This approach allows easy and instantaneous fitting of IAT data with minimal demands on coding or technical expertise on the part of the user, making the new model accessible and effective.

The analysis of randomized response "ever" and "last year" questions: A non-saturated Multinomial model

Randomized response (RR) is a well-known interview technique designed to eliminate evasive response bias that arises from asking sensitive questions. The most frequently asked questions in RR are either whether respondents were "ever" carriers of the sensitive characteristic, or whether they were carriers in a recent period, for instance, "last year". The present paper proposes a design in which both questions are asked, and derives a multinomial model for the joint analysis of these two questions. Compared to the separate analyses with the binomial model, the model makes a useful distinction between last year and former carriers of the sensitive characteristic, it is more efficient in estimating the prevalence of last year carriers, and it has a degree of freedom that allows for a goodness-of-fit test. Furthermore, it is easily extended to a multinomial logistic regression model to investigate the effects of covariates on the prevalence estimates. These benefits are illustrated in two studies on the use of anabolic androgenic steroids in the Netherlands, one using Kuk and one using both the Kuk and forced response. A salient result of our analyses is that the multinomial model provided ample evidence of response biases in the forced response condition.

Taken to the extreme: Transformational leadership, psychological capital, and follower health outcomes in extreme contexts

The purpose of this study is to examine the boundary conditions of transformational leadership, follower psychological capital, and their effects on follower mental health outcomes. Specifically, we utilize archival, multi-wave data from a military sample to examine whether the negative relationship between transformational leadership and adverse follower stress outcomes increases as the context shifts from a relatively safe environment to one in which follower lives are at risk. Additionally, psychological capital, a constellation of personal psychological resources, is also assessed to account for individual buffers against extreme stressors. Findings from the current study suggest that the negative relationship between transformational leadership and follower stress increases significantly when the context shifts to a high-risk, mortality-salient environment.

Factor Structure of the Teacher Strengths and Difficulties Questionnaire in a Large Community-Based Sample: An Investigation of Alternative Measurement Models

The Strengths and Difficulties Questionnaire (SDQ) is a screening measure commonly used to assess behavioral and emotional symptoms and strengths among children and adolescents. However, despite its frequent use, its underlying factor structure remains an important area of inquiry. Whereas the original five-factor structure has often been supported through exploratory factor analysis, results from confirmatory analyses continue to yield mixed results. We analyzed data from youth in Grades K through 12 from a large epidemiologic study in the Southeastern United States. Teacher-report SDQ data were used to test three confirmatory factor models by school level (i.e., elementary [Grades K-5] and secondary [Grades 6-12]): The original five-factor model, a three-factor model, and a bifactor model. Model fit indices and reliability measures supported the original five-factor model as the preferred model when using the teacher-reported SDQ with both elementary and secondary school children. Implications for using the SDQ in applied research and predictive modeling are discussed.

Alternative covariance structures in mixed-effects models: Addressing intra- and inter-individual heterogeneity

Mixed-effects models for repeated measures and longitudinal data include random coefficients that are unique to the individual, and thus permit subject-specific growth trajectories, as well as direct study of how the coefficients of a growth function vary as a function of covariates. Although applications of these models often assume homogeneity of the within-subject residual variance that characterizes within-person variation after accounting for systematic change and the variances of the random coefficients of a growth model that quantify individual differences in aspects of change, alternative covariance structures can be considered. These include allowing for serial correlations between the within-subject residuals to account for dependencies in data that remain after fitting a particular growth model or specifying the within-subject residual variance to be a function of covariates or a random subject effect to address between-subject heterogeneity due to unmeasured influences. Further, the variances of the random coefficients can be functions of covariates to relax the assumption that these variances are constant across subjects and to allow for the study of determinants of these sources of variation. In this paper, we consider combinations of these structures that permit flexibility in how mixed-effects models are specified to understand within- and between-subject variation in repeated measures and longitudinal data. Data from three learning studies are analyzed using these different specifications of mixed-effects models.