Use of the test scoring machine and the graphic item counter for statistical work

The graphic item-counter is described and its use as a statistical device is explained. Procedures are presented for obtaining Pearson product-moment correlations by means of the graphic item-counter.     

An evaluation of multi‐criteria methods in integrated assessment of climate policy

Those who conduct integrated assessments (IAs) are aware of the need to explicitly consider multiple criteria and uncertainties when evaluating policies for preventing global warming. MCDM methods are potentially useful for understanding tradeoffs and evaluating risks associated with climate policy alternatives. A difficulty facing potential MCDM users is the wide range of different techniques that have been proposed, each with distinct advantages. Methods differ in terms of validity, ease of use, and appropriateness to the problem. Alternative methods also can yield strikingly different rankings of alternatives. A workshop was held in which climate change experts and policy makers evaluated the usefulness of MCDM for IA. Participants applied several methods in the context of a hypothetical greenhouse gas policy decision. Methods compared include value and utility functions, goal programming, ELECTRE, fuzzy sets, stochastic dominance, min max regret, and several weight selection methods. Ranges, rather than point estimates, were provided for some questions to incorporate imprecision regarding weights. Additionally, several visualization methods for both deterministic and uncertain cases were used and evaluated. Analysis of method results and participant feedback through questionnaires and discussion provide the basis for conclusions regarding the use of MCDM methods for climate change policy and IA analyses. Hypotheses are examined concerning predictive and convergent validity of methods, existence of splitting bias among experts, perceived ability of methods to aid decision‐making, and whether expressing imprecision can change ranking results. Because participants gained from viewing a problem from several perspectives and results from different methods often significantly differed, it appears worthwhile to apply several MCDM methods to increase user confidence and insight. The participants themselves recommended such multimethod approaches for policymaking. Yet they preferred the freedom of unaided decision‐making most of all, challenging the MCDM community to create transparent methods that permit maximum user control. Copyright © 2002 John Wiley & Sons, Ltd.     

A Limited Information Estimator for Dynamic Factor Models

Structural equation modeling (SEM) is an increasingly popular method for examining multivariate time series data. As in cross-sectional data analysis, structural misspecification of time series models is inevitable, and further complicated by the fact that errors occur in both the time series and measurement components of the model. In this article, we introduce a new limited information estimator and local fit diagnostic for dynamic factor models within the SEM framework. We demonstrate the implementation of this estimator and examine its performance under both correct and incorrect model specifications via a small simulation study. The estimates from this estimator are compared to those from the most common system-wide estimators and are found to be more robust to the structural misspecifications considered.     

Multicultural Competency Training of School Counselor Trainees: Development of the Social Class and Classism Training Questionnaire

The Social Class and Classism Training Questionnaire was developed to assess multicultural competency and training of social class and classism for school counselor trainees (SCTs). The authors analyzed the differences between accreditation status, social class backgrounds, and factors contributing to SCTs’ competence and training. Results showed that socially desirable responding, number of multicultural courses, and training level contributed most to perceived competence and training. This study provides insight into factors influencing SCTs’ competence and training of social class. El Cuestionario de Capacitación en Clase Social y Clasismo fue desarrollado para evaluar la competencia multicultural y capacitación en clase social y clasismo de consejeros escolares en formación (SCT, por sus siglas en inglés). Los autores analizaron las diferencias entre el estado de acreditación, la clase social de origen y otros factores que contribuyen a la competencia y capacitación de los SCT. Los resultados mostraron que las respuestas socialmente deseables, el número de cursos multiculturales y el nivel de capacitación contribuyeron en mayor medida a la percepción de competencia y capacitación. Este estudio ofrece una perspectiva de los factores que influyen en la competencia y capacitación en clase social de los SCT.     

Take a break! Benefits of sleep and short breaks for daily work engagement

The current study investigates the benefits of a good night’s sleep and short work breaks for employees’ daily work engagement. It is hypothesized that sleep and self-initiated short breaks help restore energetic and self-regulatory resources which, in turn, enable employees to experience high work engagement. A daily diary study was conducted with 107 employees who provided data twice a day (before lunch and at the end of the working day) over 5 workdays (453 days in total). Multilevel regression analyses showed that sleep quality and short breaks were beneficial for employees’ daily work engagement. After nights employees slept better, they indicated higher work engagement during the day. Moreover, taking self-initiated short breaks from work in the afternoon boosted daily work engagement, whereas taking short breaks in the morning failed to predict daily work engagement. Taking short breaks did not compensate for impaired sleep with regard to daily work engagement. Overall, these findings suggest that recovery before and during work can foster employees’ daily work engagement.     

You get what you give: children's karmic bargaining

Do children believe in karma – the notion that life events occur to punish or reward our moral behavior? In three experiments, we investigate 4–6‐year‐old children's willingness to endorse and engage in the practice of performing good acts in order to secure an unrelated future desired outcome, so‐called ‘karmic bargaining’. Most children agreed that performing a morally good social behavior, but not a morally negative or morally neutral non‐social behavior, would increase the chances that future desired outcomes would occur, in both first‐party and third‐party contexts. About half of children also engaged in karmic bargaining behavior themselves. We conclude that a belief in karma may therefore reflect a broad, early‐emerging teleological bias to interpret life events in terms of agency, purpose, and design.     

Taking Stock of the Diversity and Sense of Community Debate

Over the past couple of years, a debate has played out in the pages of the American Journal of Community Psychology concerning the relationship between two of Community Psychology's core values: promoting diversity and promoting a sense of community. This special section is to continue a discussion about diversity and community, both among the debate's initial contributors (Alex Stivala, Greg Townley, and Zachary Neal), as well as among others whose own work has touched on these issues (Anne Brodsky, Richard Florida, Jean Hill, and Roderick Watts). In this essay, I address some broad questions that have emerged through this discussion. First, because much has been written on the relationship between diversity and community, both in community psychology and in other disciplines, what do we know, or at least think we know? Second, since the constructs of diversity and sense of community are complex and multi‐faceted, how can definitions get in the way and how can we avoid talking past one another in this discussion? Finally, looking across the original papers that initiated this discussion, as well as the contributions in this special section, what path(s) forward do we have?     

A cleansing fire: Moral outrage alleviates guilt and buffers threats to one’s moral identity

Why do people express moral outrage? While this sentiment often stems from a perceived violation of some moral principle, we test the counter-intuitive possibility that moral outrage at third-party transgressions is sometimes a means of reducing guilt over one’s own moral failings and restoring a moral identity. We tested this guilt-driven account of outrage in five studies examining outrage at corporate labor exploitation and environmental destruction. Study 1 showed that personal guilt uniquely predicted moral outrage at corporate harm-doing and support for retributive punishment. Ingroup (vs. outgroup) wrongdoing elicited outrage at corporations through increased guilt, while the opportunity to express outrage reduced guilt (Study 2) and restored perceived personal morality (Study 3). Study 4 tested whether effects were due merely to downward social comparison and Study 5 showed that guilt-driven outrage was attenuated by an affirmation of moral identity in an unrelated context.