Making a Good Impression at Work: National Differences in Employee Impression Management Behaviors in Japan,Korea, and the United States

Impression management has important implications for success at work. This study explores differences in impression management in the East and West by examining the use of self-promotion, ingratiation, and exemplification directed towards three targets: supervisors, peers, and subordinates among 945 company employees from Japan, Korea, and the United States. Our results show that Korean employees used all three strategies most frequently, followed by United States, and then Japanese employees. Japanese and Korean employees used impression management strategies differentially across the three targets, and U.S. employees used impression management equally across targets. This elucidates how cultural trends in hierarchical relationships impact social behavior within the workplace. A follow-up mediation analysis found that relational or labor mobility fully mediated country differences in impression management, suggesting that culture is also reflected in larger social ecological trends in employee's ability and likelihood to change jobs, which also account for impression management strategy usage. Theoretical and practical implications for international business are discussed. This research may be useful in aligning strategies foreign employees might employ for using impression management when in Japan, Korea, and the United States.     

Modified Distribution-Free Goodness-of-Fit Test Statistic

Covariance structure analysis and its structural equation modeling extensions have become one of the most widely used methodologies in social sciences such as psychology, education, and economics. An important issue in such analysis is to assess the goodness of fit of a model under analysis. One of the most popular test statistics used in covariance structure analysis is the asymptotically distribution-free (ADF) test statistic introduced by Browne (Br J Math Stat Psychol 37:62–83, 1984). The ADF statistic can be used to test models without any specific distribution assumption (e.g., multivariate normal distribution) of the observed data. Despite its advantage, it has been shown in various empirical studies that unless sample sizes are extremely large, this ADF statistic could perform very poorly in practice. In this paper, we provide a theoretical explanation for this phenomenon and further propose a modified test statistic that improves the performance in samples of realistic size. The proposed statistic deals with the possible ill-conditioning of the involved large-scale covariance matrices.     

Direction of dependence in measurement error models

Methods to determine the direction of a regression line, that is, to determine the direction of dependence in reversible linear regression models (e.g., x→y vs. y→x), have experienced rapid development within the last decade. However, previous research largely rested on the assumption that the true predictor is measured without measurement error. The present paper extends the direction dependence principle to measurement error models. First, we discuss asymmetric representations of the reliability coefficient in terms of higher moments of variables and the attenuation of skewness and excess kurtosis due to measurement error. Second, we identify conditions where direction dependence decisions are biased due to measurement error and suggest method of moments (MOM) estimation as a remedy. Third, we address data situations in which the true outcome exhibits both regression and measurement error, and propose a sensitivity analysis approach to determining the robustness of direction dependence decisions against unreliably measured outcomes. Monte Carlo simulations were performed to assess the performance of MOM-based direction dependence measures and their robustness to violated measurement error assumptions (i.e., non-independence and non-normality). An empirical example from subjective well-being research is presented. The plausibility of model assumptions and links to modern causal inference methods for observational data are discussed.     

The role of attention in remembering important item-location associations

When encountering an excess of information, people are able to selectively remember high-value information by strategically allocating attention during the encoding period, termed value-directed remembering. This has been demonstrated in both the episodic verbal and visuospatial memory domains. Importantly, the allocation of attention also plays a crucial role in the binding of identity and location information in visuospatial memory. We examined how taxing attentional resources to various degrees during encoding might affect visuospatial memory and selectivity. Participants studied items paired with point values indicating their value in a grid display and were asked to maximize their point score (a summation of the points associated with correctly remembered information). Participants viewed items under either a sequential or simultaneous presentation format and in either the presence or absence of a secondary tone discrimination task. While participants in the divided attention conditions recalled fewer item-location associations overall, participants in all encoding conditions prioritized high-value information in memory, providing further evidence that selectivity can be maintained even when attentional resources are taxed. However, differences between presentation formats emerged when conducting spatial resolution analyses examining errors. Errors in the simultaneous conditions were only influenced by item value when attention was full during encoding, while errors in the sequential conditions were not influenced by item value, regardless of available attentional resources. The results suggest participants can strategically allocate attention during encoding even under cognitively-demanding conditions and that gist-based visuospatial memory may only be influenced by information importance when adequate attentional resources are available.     

Introduction to Bayesian Inference for Psychology

We introduce the fundamental tenets of Bayesian inference, which derive from two basic laws of probability theory. We cover the interpretation of probabilities, discrete and continuous versions of Bayes’ rule, parameter estimation, and model comparison. Using seven worked examples, we illustrate these principles and set up some of the technical background for the rest of this special issue of Psychonomic Bulletin & Review. Supplemental material is available via https://osf.io/wskex/.     

Group Dynamics In The State Of Nature

One common interpretation of the Hobbesian state of nature views itas a social dilemma, a natural extension of the well-knownprisoner's dilemma to a group context. Kavka (1986)challenges this interpretation, suggesting that the appropriate wayto view the state of nature is as a quasi social dilemma. Iargue that Hobbes's remarks on the rationality of keeping covenantsin the state of nature indicate that the quasi social dilemma doesnot accurately represent the state of nature. One possiblesolution, I suggest, views the state of nature as a social dilemmabetween groups rather than individuals. Although thiscleanly represents the strategic problem faced in the state ofnature, it also means we should take intergroup dynamics intoaccount when putting forth a solution. I argue that Hobbes'ssolution of commonwealth by institution – the favored solution forHobbesian social contract theories – will not work in the state ofnature viewed this way.     

On Wright's Argument against Deflationism

I consider Crispin Wright's much discussed 'inflationary' argument against deflationism about truth. I identify a principle apparently involved in it, which I call Wright's principle, and present Wright's argument with the following dilemma. If Wright's principle is sound, the deflationist has a straightforward rejoinder to Wright's argument. If Wright's principle is unsound, the central part of Wright's argument, concerned with how 'true' commutes with the negation operator, is rendered superfluous. I conclude that Wright's argument is either a straightforward failure or completely otiose.