Relationships Among Social Policy Factors,National Competitiveness,and Happiness

The aim of this study is to construct a causal relationship model explaining the relationships between social policy factors and national competitiveness and national happiness; and to analyse how the former affect the latter as final dependent variables. In doing this, the study employs data for OECD member countries. Research regarding the determinants affecting national competitiveness and people’s happiness has tended to focus mainly on personal or collective characteristics such as age, gender, economic infrastructure, etc. As a result, social policy factors, including welfare budget, unemployment support budget and income inequality, have rarely been addressed in the analysis of determinants affecting national competitiveness or happiness, which is regarded as the final policy aim to be achieved by government. In particular, there has been little academic research utilizing OECD database statistics on social policy indicators. Against this background, this study uses the Structural Equation Modeling approach (SEM) to identify the direct and indirect effects of social policy factors on national competitiveness and happiness, and puts forward policy suggestions for attaining these two great goals of social policy.     

A stochastic detection and retrieval model for the study of metacognition

We present a signal detection-like model termed the stochastic detection and retrieval model (SDRM) for use in studying metacognition. Focusing on paradigms that relate retrieval (e.g., recall or recognition) and confidence judgments, the SDRM measures (1) variance in the retrieval process, (2) variance in the confidence process, (3) the extent to which different sources of information underlie each response, (4) simple bias (i.e., increasing or decreasing confidence criteria across conditions), and (5) metacognitive bias (i.e., contraction or expansion of the confidence criteria across conditions). In the metacognition literature, gamma correlations have been used to measure the accuracy of confidence judgments. However, gamma cannot distinguish between the first 3 attributes, and it cannot measure either form of bias. In contrast, the SDRM can distinguish among the attributes, and it can measure both forms of bias. In this way, the SDRM can be used to test competing process theories by determining the attribute that best accounts for a change across conditions. To demonstrate the SDRM's usefulness, we investigated judgments of learning (JOLs) followed by cued-recall. Through a series of nested and non-nested model comparisons applied to a new experiment, the SDRM determined that a reduction in variance during the confidence process is the most likely explanation of the delayed-JOL effect, and a stronger relation between information underlying JOLs and recall is the most likely explanation of the testing-JOL effect. Following a brief discussion of implications for JOL theories, we conclude with a broader discussion of how the SDRM can benefit metacognition research.     

Religiousness,Spirituality, and Psychological Distress in Taiwan

Most of the previous research on religion and mental health has focused solely on Western, predominantly Christian societies. Using a 2004 national survey of 1,881 adults in Taiwan, this study investigates the relationships between multidimensional measures of religiousness/spirituality and psychological distress in an Eastern context. Our findings differ from previous studies in the West, showing that: (1) religious-based supernatural beliefs are associated with more distress; (2) daily prayer is associated with less distress; (3) engaging in secular-based supernatural activities like fortune-telling is related to more distress; and (4) the frequency of religious attendance is unrelated to levels of distress. Broader theoretical and empirical implications of these findings are discussed.     

STABILIZING ALETHIC PLURALISM

Alethic pluralism is the view that the nature of truth is not uniform across domains. There are several ways of being true (T₁ ... T_n). A simple argument, the 'instability challenge', purports to show that this view is inherently unstable. One can simply say that something is uniformly true if and only if it is T₁ or ... or T_n. Being uniformly true is a single truth property that applies across the board, and so the nature of truth is uniform across domains, contra pluralism. I defend pluralism against the instability challenge. I show that the challenge bifurcates: one challenge is formulated in terms of predicates, and the other is formulated in terms of properties. The pluralist has the resources to defuse both of these. The sparse/abundant property distinction and considerations of explanatory asymmetry play a crucial role in my argument.     

Impaired body but not face perception in patients with obsessive–compulsive disorder

Background. Empirical evidence involving the processing of social information by patients with obsessive–compulsive disorder (OCD) has been relatively scarce. Our study investigated the perceptual abilities of patients with OCD to recognize human faces and bodies. Method. Fifty‐four drug‐free or drug‐naïve patients with OCD and 42 healthy controls performed discrimination tasks consisting of four types of stimuli: two sets of faces that were manipulated with regard to configuration and features, human bodies, and chairs. The stimuli were presented in upright and upside‐down orientations. Results. Patients with OCD were significantly less accurate in discriminating pairs of bodily postures implying actions. However, we found no significant differences between patient and control groups in the ability to recognize faces and chairs. The inversion effects for bodies and faces were also comparable between the two groups. Conclusions. The current findings suggest that patients with OCD experience difficulty in perceiving static forms of bodily postures, but are able to adequately recognize human faces. Our data indicate a selective deficit in the perception of bodily postures in those with OCD and suggest that this deficit is probably not related to the abnormal configurational processing of social objects.     

Predicting binary choices from probability phrase meanings

The issues of how individuals decide which of two events is more likely and of how they understand probability phrases both involve judging relative likelihoods. In this study, we investigated whether derived scales representing probability phrase meanings could be used within a choice model to predict independently observed binary choices. If they can, this simultaneously provides support for our model and suggests that the phrase meanings are measured meaningfully. The model assumes that, when deciding which of two events is more likely, judges take a single sample from memory regarding each event and respond accordingly. The model predicts choice probabilities by using the scaled meanings of individually selected probability phrases as proxies for confidence distributions associated with sampling from memory. Predictions are sustained for 34 of 41 participants but, nevertheless, are biased slightly low. Sequential sampling models improve the fit. The results have both theoretical and applied implications.