Longitudinal processes among humility, social justice activism, transcendence, and well-being.

Introduction: Existing research shows positive associations between humility and well-being, and between civic engagement and well-being. Rarely have humility, civic engagement, and well-being been examined together. We build off of previous cross-sectional findings and a prior longitudinal study that used three waves of data and found significant positive bivariate correlations between humility and the presence of life purpose across time points.

Diversity climate, trust, and turnover intentions: A multilevel dynamic system.

Past research on employee trust and diversity climate is cross-sectional and often overlooks the distinction between overall unit climate and individual perceptions of climate. The current article addresses the complex relationship between trust and diversity climate, including directionality, evolution over time, multilevel characteristics, and influence on the critical outcome of turnover intentions. Using a novel, a multilevel analysis of cross-lagged panel data with latent interactions, we examined 6 years of data from 3,218 faculty members across 294 departments in a large U.

From Data to Causes III: Bayesian Priors for General Cross-Lagged Panel Models (GCLM).

This article describes some potential uses of Bayesian estimation for time-series and panel data models by incorporating information from prior probabilities (i.e., priors) in addition to observed data.

Observing Change Over Time in Strength-Based Parenting and Subjective Wellbeing for Pre-teens and Teens.

The focus of this study was on adolescent mental health. More specifically, the relationship between strength-based parenting (SBP) and subjective wellbeing (SWB) during adolescence was examined at three time points over 14 months ( = 202, = 12.97, = 0.

Modeling Measurement as a Sequential Process: Autoregressive Confirmatory Factor Analysis (AR-CFA).

To model data from multi-item scales, many researchers default to a confirmatory factor analysis (CFA) approach that restricts cross-loadings and residual correlations to zero. This often leads to problems of measurement-model misfit while also ignoring theoretically relevant alternatives. Existing research mostly offers solutions by relaxing assumptions about cross-loadings and allowing residual correlations.

How does it feel to be treated like an object? Direct and indirect effects of exposure to sexual objectification on women's emotions in daily life.

Exposure to sexual objectification is an everyday experience for many women, yet little is known about its emotional consequences. Fredrickson and Roberts' (1997) objectification theory proposed a within-person process, wherein exposure to sexual objectification causes women to adopt a third-person perspective on their bodies, labeled which has harmful downstream consequences for their emotional well-being. However, previous studies have only tested this model at the between-person level, making them unreliable sources of inference about the proposed intraindividual psychological consequences of objectification.

Income Inequality and White-on-Black Racial Bias in the United States: Evidence From Project Implicit and Google Trends.

Several theories predict that income inequality may produce increased racial bias, but robust tests of this hypothesis are lacking. We examined this relationship at the U.S.

Loneliness over time: The crucial role of social anxiety.

Loneliness is known to be associated with multiple adverse physical outcomes, including higher mortality and morbidity risk. However, the impact of loneliness on mental health is less well researched, with most studies assessing how loneliness relates to depressive symptoms alone. We hypothesized that 2 mental health symptoms that relate to the fear of others-social anxiety and paranoia-would contribute to loneliness.

Multilevel structural equation models for assessing moderation within and across levels of analysis.

Social scientists are increasingly interested in multilevel hypotheses, data, and statistical models as well as moderation or interactions among predictors. The result is a focus on hypotheses and tests of multilevel moderation within and across levels of analysis. Unfortunately, existing approaches to multilevel moderation have a variety of shortcomings, including conflated effects across levels of analysis and bias due to using observed cluster averages instead of latent variables (i.

Income, personality, and subjective financial well-being: the role of gender in their genetic and environmental relationships.

Increasing levels of financial inequality prompt questions about the relationship between income and well-being. Using a twins sample from the Survey of Midlife Development in the U. S.

Reliability estimation in a multilevel confirmatory factor analysis framework.

Scales with varying degrees of measurement reliability are often used in the context of multistage sampling, where variance exists at multiple levels of analysis (e.g., individual and group).

Taking a look behind the wheel: an investigation into the personality predictors of aggressive driving.

The present study evaluated a theoretical model of the relationships among six aspects of driver personality (i.e., driving anger and the Big Five personality factors), aggressive driving, and two outcomes of aggressive driving: motor vehicle crashes and moving violations.

A general multilevel SEM framework for assessing multilevel mediation.

Several methods for testing mediation hypotheses with 2-level nested data have been proposed by researchers using a multilevel modeling (MLM) paradigm. However, these MLM approaches do not accommodate mediation pathways with Level-2 outcomes and may produce conflated estimates of between- and within-level components of indirect effects. Moreover, these methods have each appeared in isolation, so a unified framework that integrates the existing methods, as well as new multilevel mediation models, is lacking.

Job performance over time is a function of latent trajectories and previous performance.

Previous literature addressing job performance over time notes that past performance can affect future performance and that individuals often have distinct latent performance trajectories. However, no research to date has modeled these 2 aspects of job performance in tandem. Drawing on previous literature, the authors note that current performance may act as performance feedback, influencing future performance directly (i.

Conducting multilevel analyses in medical education.

A significant body of education literature has begun using multilevel statistical models to examine data that reside at multiple levels of analysis. In order to provide a primer for medical education researchers, the current work gives a brief overview of some issues associated with multilevel statistical modeling. To provide an example of this technique, we then present a multilevel analysis examining the relationship between two individual-level variables and the "cross-level" interaction between this relationship and a school-level variable.