Korean-english Bilingual Children’s Stress Cue Sensitivity and its Relationship with Reading in English

Journal of Psycholinguistic Research - Lexical stress plays a critical role in multisyllabic word reading in English. However, assignment of English lexical stress, which is neither fixed nor...     

Two Concepts or Two Approaches? A Bifactor Analysis of Psychological and Subjective Well-Being

Researchers often debate about whether there is a meaningful differentiation between psychological well-being and subjective well-being. One view argues that psychological and subjective well-being are distinct dimensions, whereas another view proposes that they are different perspectives on the same general construct and thus are more similar than different. The purpose of this investigation was to examine these two competing views by using a statistical approach, the bifactor model, that allows for an examination of the common variance shared by the two types of well-being and the unique variance specific to each. In one college sample and one nationally representative sample, the bifactor model revealed a strong general factor, which captures the common ground shared by the measures of psychological well-being and subjective well-being. The bifactor model also revealed four specific factors of psychological well-being and three specific factors of subjective well-being, after partialling out the general well-being factor. We further examined the relations of the specific factors of psychological and subjective well-being to external measures. The specific factors demonstrated incremental predictive power, independent of the general well-being factor. These results suggest that psychological well-being and subjective well-being are strongly related at the general construct level, but their individual components are distinct once their overlap with the general construct of well-being is partialled out. The findings thus indicate that both perspectives have merit, depending on the level of analysis.     

The nature of intuitive justification

In this paper I articulate and defend a view that I call phenomenal dogmatism about intuitive justification. It is dogmatic because it includes the thesis: if it intuitively seems to you that p, then you thereby have some prima facie justification for believing that p. It is phenomenalist because it includes the thesis: intuitions justify us in believing their contents in virtue of their phenomenology—and in particular their presentational phenomenology. I explore the nature of presentational phenomenology as it occurs perception, and I make a case for thinking that it is present in a wide variety of logical, mathematical, and philosophical intuitions.     

Assumed race moderates spontaneous racial bias in a computer‐based police simulation

We demonstrated that playing the roles of different outgroup races can elicit extrapersonal racial bias associated with respective racial groups. In a modified version of a computer‐based police simulation, the police officer's race was visually manipulated to be either Black or White. Korean participants made quick decisions whether to shoot targets (Black or White, armed or unarmed) on screen. Comparison of behavioral bias in the task revealed that, as expected, playing the role of a White police officer was associated with a stronger bias against Black targets compared to playing a Black police officer's role. The result suggests that when a social category is activated, one's race‐related behavior can reflect one's beliefs about the biases that members of that category hold.     

Identifying factors that promote consumer behaviours causing expired domestic food waste

Many commentators argue that domestic food waste is strongly influenced by consumer behaviours. This article reports on a study using mixed‐methods to identify key factors responsible for promoting consumer behaviours that lead to domestic food waste through the lens of the value–belief–norm theory. On the basis of the study's findings, three factors are proposed that cause behaviours that lead to food waste: supply knowledge – does a consumer know what food they have available; location knowledge – does a consumer know where to locate food items; and food literacy – to what degree do past experience and acquired knowledge impact on a consumer's food consumption and wastage practices. We analyse the study's findings in light of a review of literature about consumer food wastage behaviours and in turn, present new insights into consumer behaviour, food waste and the use of technology to reduce food waste. Copyright © 2014 John Wiley & Sons, Ltd.     

“I Am Sorry to Send You SPAM”

A series of studies investigating cultural differences in apology usage in unsolicited email advertising messages (i.e., SPAM) are reported. Study 1 documented that in comparison to American SPAM, a greater percentage of Korean SPAM included apologies. The next five studies (Ns= 516, 3132, 662, 524, 536) tested various explanations for cross‐cultural differences in uses of, and responses to, apologies. Findings indicated that advertising messages containing apologies were not necessarily more effective than advertising messages without apologies. Koreans, however, considered advertising messages with apologies as more credible and normal and exhibited a greater tendency to model other people's apology use than did Americans. Thus, the frequent presence of apologies in Korean unsolicited email advertising is likely to be based on Koreans' modeling behavior (i.e., a greater tendency to follow social norms).     

Meta-Analytic Analysis of Invariance Across Samples: Introducing a Method That Does Not Require Raw Data

Abstract

Invariance of surveys across different groups means that the respondents interpret the items in the same way, as reflected in similar factor loadings, for example. Invariance can be assessed using various statistical procedures, such as Multi-Group Confirmatory Factor Analysis. However, these analyses require access to raw data. Here, we introduce a meta-analytic method that requires only the factor correlation matrices of samples as input. It compares the structures of intercorrelations of factors by correlating these values across two samples, yielding a value of overall similarity for how the factors intercorrelate in different samples. This method was tested in three different ways. We conclude that the method yields useful results and can assess invariance when raw data are not available.