Changes in cooperative behaviour and belief in finitely repeated social dilemmas

Economic and psychological studies have determined the tendency to improve cooperation in initial interactions in which people are required to contribute in public good games. The current study examined the behavioural changes of individuals during finite interaction times. Participants were invited to make decisions twice in a step‐level public good game, and their belief in achieving the collective interest was measured. Participants were divided into three groups based on their first decisions. Results showed that high contributors demonstrated high levels of contribution in their subsequent interactions, whereas low and equal contributors increased their levels of contribution after the initial interaction. Additionally, the cooperative level of low contributors increased along with their cooperative belief. The theoretical and practical implications of changes of behaviour and belief in repeated social dilemmas were identified.     

Heuristic cognitive diagnosis when the Q‐matrix is unknown

Cognitive diagnosis models of educational test performance rely on a binary Q‐matrix that specifies the associations between individual test items and the cognitive attributes (skills) required to answer those items correctly. Current methods for fitting cognitive diagnosis models to educational test data and assigning examinees to proficiency classes are based on parametric estimation methods such as expectation maximization (EM) and Markov chain Monte Carlo (MCMC) that frequently encounter difficulties in practical applications. In response to these difficulties, non‐parametric classification techniques (cluster analysis) have been proposed as heuristic alternatives to parametric procedures. These non‐parametric classification techniques first aggregate each examinee's test item scores into a profile of attribute sum scores, which then serve as the basis for clustering examinees into proficiency classes. Like the parametric procedures, the non‐parametric classification techniques require that the Q‐matrix underlying a given test be known. Unfortunately, in practice, the Q‐matrix for most tests is not known and must be estimated to specify the associations between items and attributes, risking a misspecified Q‐matrix that may then result in the incorrect classification of examinees. This paper demonstrates that clustering examinees into proficiency classes based on their item scores rather than on their attribute sum‐score profiles does not require knowledge of the Q‐matrix, and results in a more accurate classification of examinees.     

Naive Probability: Model‐Based Estimates of Unique Events

We describe a dual‐process theory of how individuals estimate the probabilities of unique events, such as Hillary Clinton becoming U.S. President. It postulates that uncertainty is a guide to improbability. In its computer implementation, an intuitive system 1 simulates evidence in mental models and forms analog non‐numerical representations of the magnitude of degrees of belief. This system has minimal computational power and combines evidence using a small repertoire of primitive operations. It resolves the uncertainty of divergent evidence for single events, for conjunctions of events, and for inclusive disjunctions of events, by taking a primitive average of non‐numerical probabilities. It computes conditional probabilities in a tractable way, treating the given event as evidence that may be relevant to the probability of the dependent event. A deliberative system 2 maps the resulting representations into numerical probabilities. With access to working memory, it carries out arithmetical operations in combining numerical estimates. Experiments corroborated the theory's predictions. Participants concurred in estimates of real possibilities. They violated the complete joint probability distribution in the predicted ways, when they made estimates about conjunctions: P(A), P(B), P(A and B), disjunctions: P(A), P(B), P(A or B or both), and conditional probabilities P(A), P(B), P(B|A). They were faster to estimate the probabilities of compound propositions when they had already estimated the probabilities of each of their components. We discuss the implications of these results for theories of probabilistic reasoning.     

Transmission of Cultural Values among Mexican‐Origin Parents and Their Adolescent and Emerging Adult Offspring

The integration of the U.S. and Mexican culture is an important process associated with Mexican‐origin youths' adjustment and family dynamics. The current study examined the reciprocal associations in parents' and two offspring's cultural values (i.e., familism and respect) in 246 Mexican‐origin families. Overall, mothers' values were associated with increases in youths' values 5 years later. In contrast, youths' familism values were associated with increases in fathers' familism values 5 years later. In addition, developmental differences emerged where parent‐to‐offspring effects were more consistent for youth transitioning from early to late adolescence than for youth transitioning from middle adolescence to emerging adulthood. Finally, moderation by immigrant status revealed a youth‐to‐parent effect for mother–youth immigrant dyads, but not for dyads where youth were U.S.‐raised. Our findings highlight the reciprocal nature of parent–youth value socialization and provide a nuanced understanding of these processes through the consideration of familism and respect values. As Mexican‐origin youth represent a large and rapidly growing segment of the U.S. population, research that advances our understanding of how these youth develop values that foster family cohesion and support is crucial.     

What Can We Learn from the Study of Mexican‐Origin Families in the United States?

Mexican‐origin families are a large and rapidly increasing subgroup of the U.S. population, but they remain underrepresented in family scholarship. This paper introduces a special section of four papers on Mexican‐origin families designed to contribute to the advancement of research on how cultural, family, and gender socialization processes unfold across key developmental periods and life transitions in this cultural context. Two longitudinal studies of Mexican‐origin families provided the data for these four papers: (a) The Juntos Project, an 8‐year longitudinal study of mothers, fathers, and adolescent sibling pairs in 246 Mexican‐origin families; and (b) The Supporting MAMI Project, a study following 204 adolescent mothers and their mother figures from the third trimester of pregnancy through their young children's 5th birthdays. In this introductory paper, we highlight four themes, including (a) differential acculturation and reciprocal socialization, (b) interdependence in families, (c) the intersection of culture and gender, and (d) methodological issues. We end with suggestions for future research.     

Personality Predicts Obedience in a Milgram Paradigm

This study investigates how obedience in a Milgram‐like experiment is predicted by interindividual differences. Participants were 35 males and 31 females aged 26–54 from the general population who were contacted by phone 8 months after their participation in a study transposing Milgram's obedience paradigm to the context of a fake television game show. Interviews were presented as opinion polls with no stated ties to the earlier experiment. Personality was assessed by the Big Five Mini‐Markers questionnaire (Saucier, 1994). Political orientation and social activism were also measured. Results confirmed hypotheses that Conscientiousness and Agreeableness would be associated with willingness to administer higher‐intensity electric shocks to a victim. Political orientation and social activism were also related to obedience. Our results provide empirical evidence suggesting that individual differences in personality and political variables matter in the explanation of obedience to authority.     

Are Telecommuters Remotely Good Citizens? Unpacking Telecommuting's Effects on Performance Via I‐Deals and Job Resources

Despite their widespread adoption, concerns remain that virtual work arrangements can harm employee job performance and citizenship behavior. Does telecommuting really hamper these critical dimensions of employee effectiveness? To answer this question, we develop a theoretical framework linking telecommuting to task and contextual performance via a dual set of mechanisms—reflecting proposed effects of i‐deals and job resources. Further, we propose that the meaning of and outcomes from these paths depend on the social context surrounding telecommuting. We test the framework with field data from 323 employees and 143 matched supervisors across a variety of organizations. As predicted, we find that telecommuting is positively associated with task and contextual performance, directly and indirectly via perceived autonomy. These beneficial effects are contingent upon two aspects of the social context: leader‐member exchange and signals of its normative appropriateness among coworkers and one's supervisor.