Finding a Life Worth Living: Meaning in Life and Graduation from College

Graduation from college is an important milestone for young adults, marked by mixed emotions and poignancy, and therefore is an especially salient context for studying meaning in life. The present research used experience‐sampling methodology to examine the antecedents and consequences of students' experience of meaning in life over the course of graduation. Participants were 74 graduating students who provided a total of 538 reports over the span of 3 days, including commencement day. Increased levels of state meaning in life during the days around commencement were linked to spending time with people in general and with family in particular, and thinking about one's years in college. Thinking about one's years in college mediated the effects of present company on state meaning in life. Graduates who experienced higher levels of state meaning in life during the days around their commencement ceremony had higher trait levels of meaning in life 1 week following commencement. We discuss how making meaning of a poignant experience has implications for healthy psychological development. Copyright © 2016 European Association of Personality Psychology     

Daydreaming to navigate the social world: What we know,what we don't know,and why it matters

A substantial portion of daily life is spent daydreaming—that is, engaged in thought independent of, and unrelated to, goals in the external environment. We argue that this naturally occurring, unconstrained cognition is a vital, but currently underappreciated, form of social cognition that enables navigation of the social world. First, we present the results of a meta‐analysis of neuroimaging studies which illustrate the shared neural basis of daydreaming and social cognition (including regions of the anterior temporal lobes and the posterior cingulate cortex). Second, we review evidence regarding the frequency, correlates, and adaptive outcomes of social daydreaming, cumulative findings that point to the adaptive value of imaging others during this offline state. We end by encouraging cross‐fertilization between daydreaming research and domains of social psychology (goal pursuit, social interactions, and close relationships), which we hope will foster mutually beneficial directions for understanding the role that unconstrained thinking plays in social life.     

Sequential sampling models of human text classification

Text classification involves deciding whether or not a document is about a given topic. It is an important problem in machine learning, because automated text classifiers have enormous potential for application in information retrieval systems. It is also an interesting problem for cognitive science, because it involves real world human decision making with complicated stimuli. This paper develops two models of human text document classification based on random walk and accumulator sequential sampling processes. The models are evaluated using data from an experiment where participants classify text documents presented one word at a time under task instructions that emphasize either speed or accuracy, and rate their confidence in their decisions. Fitting the random walk and accumulator models to these data shows that the accumulator provides a better account of the decisions made, and a “balance of evidence” measure provides the best account of confidence. Both models are also evaluated in the applied information retrieval context, by comparing their performance to established machine learning techniques on the standard Reuters‐21578 corpus. It is found that they are almost as accurate as the benchmarks, and make decisions much more quickly because they only need to examine a small proportion of the words in the document. In addition, the ability of the accumulator model to produce useful confidence measures is shown to have application in prioritizing the results of classification decisions.     

Mental architectures with selectively influenced but stochastically interdependent components

The way external factors influence distribution functions for the overall time required to perform a mental task (such as responding to a stimulus, or solving a problem) may be informative as to the underlying mental architecture, the hypothetical network of interconnected processes some of which are selectively influenced by some of the external factors. Under the assumption that all processes contributing to the overall performance time are stochastically independent, several basic results have been previously established. These results relate patterns of response time distribution functions produced by manipulating external factors to such questions as whether the hypothetical constituent processes in the mental architecture enter AND gates or OR gates, and whether pairs of processes are sequential or concurrent. The present study shows that all these results are also valid for stochastically interdependent component times, provided the selective dependence of these components upon external factors is understood within the framework of a recently proposed theory of selective influence. According to this theory each component is representable as a function of three arguments: the factor set selectively influencing it, a component-specific source of randomness, and a source of randomness shared by all the components.     

A MCMC-method for models with continuous latent responses

This paper introduces a new technique for estimating the parameters of models with continuous latent data. Using the Rasch model as an example, it is shown that existing Bayesian techniques for parameter estimation, such as the Gibbs sampler, are not always easy to implement. Then, a new sampling-based Bayesian technique, called the DA-T-Gibbs sampler, is introduced. The DA-T-Gibbs sampler relies on the particular latent data structure of latent response models to simplify the computations involved in parameter estimation. This research was supported by the Dutch National Research Council (NWO) (grant number 575-30-001).     

Understanding the dynamic relationships among personality, mood, and job satisfaction: A field experience sampling study

This study investigated the within-individual relationship between mood and job satisfaction, and examined the role of personality characteristics in moderating this relationship. The design of the study involved an experience sampling methodology (ESM); 27 employees completed mood and job satisfaction surveys at four different times during the day for a period of four weeks, resulting in a total of 1907 observations. Results showed that within-individual variance comprised 36% of the total variance in job satisfaction, and mood explained 29% of the within-individual variance in job satisfaction. Second, mood and job satisfaction were related both within and across individuals. Third, two personality traits—Neuroticism and Extraversion—were associated with average levels of mood. Fourth, within-individual variability in mood was significantly related to within-individual variability in job satisfaction, and variability in both mood and job satisfaction was predicted by Neuroticism. Finally, personality impacted the degree of association between mood and job satisfaction within individuals.     

The Indirect Effect of Teachers’ Creative Mindsets on Teaching Creativity

Understanding how teachers’ implicit beliefs promote and inhibit students’ creativity has important implications for fostering creativity in the classroom. This study investigated whether the effect of teachers’ fixed creative mindset on their self‐efficacy for teaching creativity was mediated by their perceptions of students’ potential and the degree to which this indirect effect varied by level of growth creative mindset. A sample of educators (N = 119) completed an online survey containing questions regarding creative mindsets, perceptions of students’ potential, self‐efficacy for teaching creativity, and a set of relevant covariates. A moderated mediation analysis indicated that the more teachers believed creativity to be innate, the less teachers tended to perceive every student to possess creative potential. Consequently, teachers’ confidence in their ability to teach for creativity was diminished. Results from the corresponding tests of simple indirect effects indicated that this negative indirect effect of a fixed creative mindset was lessened by teachers’ growth creative mindset. Taken together, the findings suggest the likely significant role of teachers’ fixed and growth creative mindsets for fostering creativity in classroom.     

目标预知对路径整合的影响

本研究采用头盔式虚拟现实与返回起点或路标的路径完成任务, 通过指导语来调控被试对于返回位置的预知, 检验目标预知对人类路径整合的影响。实验结果表明, 对于返回起点这一目标的预知可以使被试有效地忽略由于路标出现或路标数量增加而导致的干扰, 而对于返回路标这一目标的预知程度越高, 可以促使被试做出更准确的反应。这样的结果体现了目标预知作为一种非感知觉因素对于人类路径整合的影响, 也体现了人类路径整合的策略性和灵活性。     

“I know you can do this” versus “How can you be so stupid?” Feedback among Chinese and American young adult friends

According to past research, young adults prefer positive feedback from their friends, but emotional reactions to negative feedback are less severe in Korea than in the United States. We extended this past work in several ways: We studied both giving and receiving feedback, recruited Chinese young adults, used realistic scenarios, and employed the situation‐sampling method. Using text‐message‐based vignettes, Study 1 found that both American and Chinese friends used happy emojis when exchanging positive feedback whereas Americans used less positive emojis than did the Chinese when exchanging negative feedback. We then collected actual examples of feedback that people had given to their friends (Study 2a) and showed them to new samples of Chinese and American young adults (Study 2b). This situation‐sampling methodology found that (a) Americans rated negative feedback from both cultures especially negatively, and (b) negative feedback examples from China were rated especially negatively by people in both cultures. That is, although Chinese negative feedback is seemingly more harsh, Chinese young adults do not react as negatively.