Relations between virtues and positive mental health in a Korean population: A Multiple Indicators Multiple Causes (MIMIC) model approach

A Multiple Indicators Multiple Causes (MIMIC) approach was applied to investigate the relationship between virtues and positive mental health as determined using the Character Strength Test and the Mental Health Continuum‐Short Form. The study participants were 876 college students (54% women; overall mean age [SD] 21.50 years [2.35]) recruited from introductory psychology courses at two universities in Seoul. Findings revealed that the intellectual virtues of college students predicted subjective well‐being according to all emotional, social and psychological measures. Results are discussed in the context of previous work using the Values in Action classification of virtues and character strengths. In addition, implications regarding understanding the nature and possible origins of positive mental health are outlined.     

Polytomous multilevel testlet models for testlet‐based assessments with complex sampling designs

A pplications of standard item response theory models assume local independence of items and persons. This paper presents polytomous multilevel testlet models for dual dependence due to item and person clustering in testlet‐based assessments with clustered samples. Simulation and survey data were analysed with a multilevel partial credit testlet model. This model was compared with three alternative models – a testlet partial credit model (PCM), multilevel PCM, and PCM – in terms of model parameter estimation. The results indicated that the deviance information criterion was the fit index that always correctly identified the true multilevel testlet model based on the quantified evidence in model selection, while the Akaike and Bayesian information criteria could not identify the true model. In general, the estimation model and the magnitude of item and person clustering impacted the estimation accuracy of ability parameters, while only the estimation model and the magnitude of item clustering affected the item parameter estimation accuracy. Furthermore, ignoring item clustering effects produced higher total errors in item parameter estimates but did not have much impact on the accuracy of ability parameter estimates, while ignoring person clustering effects yielded higher total errors in ability parameter estimates but did not have much effect on the accuracy of item parameter estimates. When both clustering effects were ignored in the PCM, item and ability parameter estimation accuracy was reduced.     

What the voice reveals: within- and between-category stereotyping on the basis of voice

The authors report research that attempts to shift the traditional focus of visual cues to auditory cues as a basis for stereotyping. Moreover, their approach examines whether gender-signaling vocal cues lead not only to between-category but also to within-category gender stereotyping. Study 1 showed that both men and women vary within category in how feminine their voices sound and that perceptions of vocal femininity are highly consensual. Furthermore, the measured acoustic characteristics that differed between gender were also related to perceptions of within-gender femininity. Subsequent studies demonstrated that variability in vocal femininity affects gender stereotyping when the targets are all of the same gender (Study 2) and when the targets are of different genders (Study 3). In the latter case, evidence of both category-based and feature-based stereotyping was found. Mediation analyses showed that the relationship between acoustics and stereotyping was in part due to femininity.     

Two simple approximations to the distributions of quadratic forms

Many test statistics are asymptotically equivalent to quadratic forms of normal variables, which are further equivalent to with z_i being independent and following N(0,1). Two approximations to the distribution of T have been implemented in popular software and are widely used in evaluating various models. It is important to know how accurate these approximations are when compared to each other and to the exact distribution of T. The paper systematically studies the quality of the two approximations and examines the effect of the λ_i and the degrees of freedom d by analysis and Monte Carlo. The results imply that the adjusted distribution for T can be as good as knowing its exact distribution. When the coefficient of variation of the λ_i is small, the rescaled statistic is also adequate for practical model inference. But comparing T_R against will inflate type I errors when substantial differences exist among the λ_i, especially, when d is also large.     

Bayesian analysis of mixtures in structural equation models with non‐ignorable missing data

Structural equation models (SEMs) have become widely used to determine the interrelationships between latent and observed variables in social, psychological, and behavioural sciences. As heterogeneous data are very common in practical research in these fields, the analysis of mixture models has received a lot of attention in the literature. An important issue in the analysis of mixture SEMs is the presence of missing data, in particular of data missing with a non‐ignorable mechanism. However, only a limited amount of work has been done in analysing mixture SEMs with non‐ignorable missing data. The main objective of this paper is to develop a Bayesian approach for analysing mixture SEMs with an unknown number of components and non‐ignorable missing data. A simulation study shows that Bayesian estimates obtained by the proposed Markov chain Monte Carlo methods are accurate and the Bayes factor computed via a path sampling procedure is useful for identifying the correct number of components, selecting an appropriate missingness mechanism, and investigating various effects of latent variables in the mixture SEMs. A real data set on a study of job satisfaction is used to demonstrate the methodology.     

Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis

This paper studies changes of standard errors (SE) of the normal-distribution-based maximum likelihood estimates (MLE) for confirmatory factor models as model parameters vary. Using logical analysis, simplified formulas and numerical verification, monotonic relationships between SEs and factor loadings as well as unique variances are found. Conditions under which monotonic relationships do not exist are also identified. Such functional relationships allow researchers to better understand the problem when significant factor loading estimates are expected but not obtained, and vice versa. What will affect the likelihood for Heywood cases (negative unique variance estimates) is also explicit through these relationships. Empirical findings in the literature are discussed using the obtained results.     

Paternal Family Expressiveness as a Mediator Between Father's Dispositional Optimism and Child's Dispositional Optimism

Although dispositional optimism serves as a resource for psychological and physical well-being, very little research has explored how to promote child dispositional optimism within the family context. The authors evaluated paternal emotional expressiveness within the family as a mediator of the association between father's and child's dispositional optimism. Participants were 422 father (M age = 44.97 years, SD = 4.21 years)–child (M age = 11.75 years, SD = 0.77 years) dyads in South Korea. Results showed that fathers’ dispositional optimism was positively linked to their expressiveness, which in turn was positively linked to their children's dispositional optimism. No significant gender or socioeconomic status differences were found. The findings have important implications for future research and for preventive interventions.     

Situational differences in dialectical emotions: Boundary conditions in a cultural comparison of North Americans and East Asians

Past research generally suggests that East Asians tolerate opposing feelings or dialectical emotions more than North Americans. We tested the idea that North Americans would have fewer opposing emotions than East Asians in positive, but not in negative or mixed situations. Forty-seven European American, 40 Chinese, and 121 Japanese students reported the emotions that a protagonist of standardised positive, negative, and mixed situations would feel. Emotions were coded into three valence categories: pleasant, unpleasant, and neither-pleasant-nor-unpleasant. As predicted, cultural differences in opposing emotion associations were found in positive situations only. Moreover, East Asians reported more neither-pleasant-nor-unpleasant feelings, especially in mixed situations, possibly reflecting a deferral of valence appraisal due to expected change.     

The effects of team strategic orientation on team process and information search

We tested the effects of team strategic orientation on team member perceptions, work strategy and information search. In Experiment 1, 80 teams worked on a hidden profile decision-making task. A defensive team strategic orientation increased members’ perceptions of the problem’s scope, leading to a more process-focused work strategy and broader information search compared to an offensive team strategic orientation. When teams needed critical information from the environment, defensive teams outperformed offensive teams; offensive teams performed better when critical information resided within the team. In Experiment 2, these findings were replicated with 92 teams performing a different decision task. When making a second decision, half of the teams were led to change their strategic orientation; teams shifting from offense to defense altered their information search behavior more readily than did teams shifting in the opposite direction, suggesting an asymmetric adaptation effect.