Generative models for visualizing idiosyncratic impressions

In their comprehensive review of research on impressions from faces, Sutherland and Young (this issue) highlight both the remarkable progress and the many challenges facing the field. We focus on two of the challenges: the need for generative, powerful models of impressions and the idiosyncratic nature of complex impressions.     

Functions of the Black Church in a Global Society: A Du Boisian Approach

Globalization's impact on local communities is a topic that religious congregations should address as a means of moral and socioeconomic well-being. This is especially important for the Black Church if it hopes to continue supporting the socioeconomic outcomes of its congregants and community members, as it has in the past. Using Du Boisian assessments of the functions of the Black Church, this study assessed how today's congregations can serve similar functions as the congregations that Du Bois studied, while exploring contemporary concerns. With an explanatory sequential research design, this study surveyed Philadelphia-based congregations (N = 108) to assess their understanding of and engagement with the impact of globalization on future generations, paired with subsequent interviews (N = 15) for deeper analysis. The survey included clergy members and youth leaders of various races and religious traditions. With an eye toward equity and considering Philadelphia's diverse demographics, the in-depth semistructured interviews centered on Black churches in Philadelphia. The core findings highlight that clergy members in Philadelphia recognize the importance of prioritizing global issues as a means of social betterment and that a special lens toward race should be considered when looking to solve socioeconomic global issues.     

Experiments comparing qualitative approaches to rank ordering of multiattribute alternatives

ZAPROS, a method to support rank ordering tasks using ordinal input from decision makers, is discussed and compared with a preference cone technique and the analytic hierarchy process (AHP). It provides a means to identify inconsistencies in ordinal decision tasks, yielding verification and explanation of results for partial ordering of a large set of alternatives. The results indicate that ZAPROS provides no less accuracy in task solution, while having some advantages from a behavioural point of view. Comparative analysis of the effectiveness of the methods under consideration in accordance with differences in task characteristics is carried out.     

个体和群体方式绩效评估的准确性研究

本研究通过对 2 1 0名大学生以个体和群体方式对两个学科评估结果的研究 ,分析了个体与群体评估方式以及不同的评估标准对评估过程和评估结果的影响。研究结果表明 :1群体评估方式有利于减少评估中的晕轮效应 ;2群体方式有利于提高对评估信息的利用水平 ;3群体方式有利于提高评估者评分倾向 ,即代表性认知的一致程度 ;4群体方式有利于提高评估者理解绩效信息意义的一致程度 ;5群体方式评估时评估者对绩效信息结构的理解更为合理 ;6提供较为详细的评估标准有利于提高对信息的利用水平 ,有利于提高评估者评分倾向的一致程度以及评估者对学科差异的敏感性。     

Bayesian factor analysis for multilevel binary observations

Multilevel covariance structure models have become increasingly popular in the psychometric literature in the past few years to account for population heterogeneity and complex study designs. We develop practical simulation based procedures for Bayesian inference of multilevel binary factor analysis models. We illustrate how Markov Chain Monte Carlo procedures such as Gibbs sampling and Metropolis-Hastings methods can be used to perform Bayesian inference, model checking and model comparison without the need for multidimensional numerical integration. We illustrate the proposed estimation methods using three simulation studies and an application involving student's achievement results in different areas of mathematics. The authors thank Ian Westbury, University of Illinois at Urbana Champaign for kindly providing the SIMS data for the application.     

Generalized latent trait models

In this paper we discuss a general model framework within which manifest variables with different distributions in the exponential family can be analyzed with a latent trait model. A unified maximum likelihood method for estimating the parameters of the generalized latent trait model will be presented. We discuss in addition the scoring of individuals on the latent dimensions. The general framework presented allows, not only the analysis of manifest variables all of one type but also the simultaneous analysis of a collection of variables with different distributions. The approach used analyzes the data as they are by making assumptions about the distribution of the manifest variables directly.     

Uses and Abuses of Ideology in Political Psychology

Ideology is a central construct in political psychology. Even so, the field's strong claims about an ideological public rarely engage evidence of enormous individual differences: a minority with real ideological coherence and weak to nonexistent political belief organization for everyone else. Here, I bridge disciplinary gaps by showing the limits of mass political ideology with several popular measures and components—self-identification, core political values (egalitarian and traditionalism's resistance to change), and policy indices—in representative U.S. surveys across four decades (Ns ~ 13 k–37 k), plus panel data testing stability. Results show polar, coherent, stable, and potent ideological orientations only among the most knowledgeable 20–30% of citizens. That heterogeneity means full-sample tests overstate ideology for most people but understate it for knowledgeable citizens. Whether through top-down opinion leadership or bottom-up ideological reasoning, organized political belief systems require political attention and understanding to form. Finally, I show that convenience samples make trouble for ideology generalizations. I conclude by proposing analytic best practices to help avoid overclaiming ideology in the public. Taken together, what first looks like strong and broad ideology is actually ideological innocence for most and meaningful ideology for a few.     

Parent engagement in an original and culturally adapted evidence-based parenting program,Legacy for Children™

Legacy for Children™ (Legacy) is an evidence-based program focused on promoting sensitive, responsive parenting for socioeconomically disadvantaged families. Legacy has recently been culturally and linguistically adapted for Spanish-monolingual Latino families and is being piloted in partnership with an early childhood education program. We conducted a mixed methods study to identify barriers and facilitators to engagement, using program monitoring data sources from both participant and group leader perspectives. We conducted qualitative analyses of open-ended data to identify distinct barriers (e.g., employment challenges, health-related challenges and appointments) and facilitators (e.g., other mothers in group, interest in program topics) to engagement that emerged across English and Spanish language curriculum versions; curriculum-specific barriers and facilitators were also documented. We interpret these findings in light of quantitative data on measures of engagement, showing that participants in the Spanish curriculum evidenced comparable levels of parent–group leader relationship quality relative to the English group, and higher levels of parent's group support/connectedness and overall satisfaction. These results offer promising considerations for optimizing families’ engagement in parenting programs in the context of early care and education settings.