Regional Museum Exhibitions Applying Intangible Cultural Heritage

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ソビエト会計発達史-1956年から1958年まで-

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A rank subdivision of equivalent score for enhancing neuropsychological test norms

Introduction Neuropsychological assessment of cognitive functioning is a crucial part of clinical care: diagnosis, treatment planning, treatment evaluation, research, and prediction of long-term outcomes. The Equivalent Score (ES) method is used to score numerous neuropsychological tests. The ES0 and the ES4 are defined respectively by the outer tolerance limit and the median. The intermediate ESs are commonly calculated using a z-score approach even when the distribution of neuropsychological data is typically non-parametric. To calculate more accurate ESs, we propose that the intermediate ESs need to be calculated based on a non-parametric rank subdivision of the distribution of the adjusted scores. Material and methods We make three simulations to explain the differences between the classical z-score approach, the rank-based approach, and the direct subdivision of the dependent variable. Results The results show that the rank procedure permits dividing the region between ES0 and ES4 into three areas with the same density. The z-score procedure is quite similar to the direct subdivision of the dependent variable and different from the rank subdivision. Conclusions By subdividing intermediate ESs using the rank-subdivision, neuropsychological tests can be scored more accurately, also considering that the two essential points for diagnosis (ES = 0 and ES = 4) remain the same. Future normative data definition should consider the best procedure for scoring with ES

A Twofold Subjective Measure of Income Inequality

Social scientists have been aiming to calculate a “subjective income Gini coefficient”of survey respondents that would describe their beliefs about income inequality in their country. Niehues (Subjective perceptions of inequality and redistributive preferences: an international comparison, Cologne Institute for Economic Research, IWTRENDS Discussion Paper, 2014) derives this estimate from respondents’ beliefs about the relative sizes of different social classes (answers to “shape of society” questions), while Kuhn (The individual perception of wage inequality: a measurement framework and some empirical evidence, Technical report, Institute of Labor Economics (IZA), 2015) estimates it using beliefs about the pay structure. We combine their efforts to calculate what we call a twofold subjective Gini coefficient, which incorporates both pieces of information independently from one another. We present the country-level distribution of perceived and desired twofold subjective Gini coefficients using the ISSP Social Inequality V survey (ISSP Research Group in International social survey programme: social inequalityv—issp 2019, 2019. https://doi.org/10.4225/13/511C71F8612C3). Accounting for both subjective class structure and pay structure yields much lower perceived and desired levels of inequality. At the country level the averages of the twofold subjective Gini coefficients are closer to actual income Gini coefficients than the previous measures. At the individual level the twofold subjective Gini coefficients are better predictors of the individual’s verbal assessment of inequality and their preferences towards redistribution

Effects of objective and subjective indicators of economic inequality on subjective well-being: Underlying mechanisms

Much research found that economic inequality—the dispersion of incomes distribution among individuals in a society—affects subjective well‐being (SWB). As a meta‐analysis has shown, the association between economic inequality, commonly measured by the Gini index, and individuals' SWB is weak and not significant. Psychosocial research suggests that the situational perception, rather than objective reality, has a greater impact on individuals. Our aim was to investigate whether and how objective and subjective measures of economic inequality affect the subjective individuals' well‐being, both in its affective and cognitive components. A representative Italian sample (N = 1446, 51% women; average age = 42.42 years, SD = 12.87) answered an online survey. Multilevel regressions detected a negative and significant effect of the inequality perception on well‐being. In contrast, the Gini index showed no effect. Two psychological mechanisms explain the association between perceived inequality and well‐being: Perceived anger toward inequality and individuals' economic vulnerability. The parallel mediation models showed that the effect of perceived inequality is conveyed by cognitive (economic vulnerability) and emotional (anger) processing of inequality. Findings also highlighted the role of the ongoing COVID‐19 pandemic

The impacts of COVID-19 on the relationship between perceived economic inequality and political action among socioeconomic classes

Economic inequality qualifies as a structural characteristic leading to political action, albeit this relationship manifests differently across socioeconomic classes. COVID-19 pandemic has amplified existing economic inequalities in ways that increased social tensions and political unrest around the world. This research investigates the effect of COVID-19 personal impacts on the relationship between perceived economic inequality and individuals’ political participation. An online survey was administered to an Italian representative sample of 1,446 people (51% women, mean age of 42.42 years, SD = 12.87). The questionnaire assessed the perceived economic inequality, the personal impacts of COVID-19 (i.e., on finance, mental health, and ability to procure resources), and individuals’ involvement in political participation. Moderation analyses were conducted separately for different socioeconomic classes (i.e., lower, middle, and upper classes). Results showed that individuals who perceive greater economic inequality, while controlling for perceived wage gap, are more likely to take action, but only if they belong to the higher class. For lower-class individuals, perceiving greater inequality erodes political action. Interaction effects occurred mainly in the middle class and with COVID-19 impacts on resources procurement, which inhibits political action

A multi-site collaborative study of the hostile priming effect

In a now-classic study by Srull and Wyer (1979), people who were exposed to phrases with hostile content subsequently judged a man as being more hostile. And this “hostile priming effect” has had a significant influence on the field of social cognition over the subsequent decades. However, a recent multi-lab collaborative study (McCarthy et al., 2018) that closely followed the methods described by Srull and Wyer (1979) found a hostile priming effect that was nearly zero, which casts doubt on whether these methods reliably produce an effect. To address some limitations with McCarthy et al. (2018), the current multi-site collaborative study included data collected from 29 labs. Each lab conducted a close replication (total N = 2,123) and a conceptual replication (total N = 2,579) of Srull and Wyer’s methods. The hostile priming effect for both the close replication (d = 0.09, 95% CI [-0.04, 0.22], z = 1.34, p = .16) and the conceptual replication (d = 0.05, 95% CI [-0.04, 0.15], z = 1.15, p = .58) were not significantly different from zero and, if the true effects are non-zero, were smaller than what most labs could feasibly and routinely detect. Despite our best efforts to produce favorable conditions for the effect to emerge, we did not detect a hostile priming effect. We suggest that researchers should not invest more resources into trying to detect a hostile priming effect using methods like those described in Srull and Wyer (1979)

Why are some countries rich and others poor? development and validation of the attributions for Cross-Country Inequality Scale (ACIS)

Understanding lay theories on the causes of economic inequality is the first step to comprehending why people tolerate, justify, or react against it. Accordingly, this paper aims to develop and validate with two cross-sectional studies the Attributions for Cross-Country Inequality Scale (ACIS), which assesses how people explain cross-country economic inequality–namely, the uneven distribution of income and wealth between poor and rich countries. After selecting and adapting items from existing scales of attributions for poverty and wealth, in Study 1, we tested the factorial structure of this initial pool of items in three countries with different levels of economic development and inequality, namely, Italy (n = 246), the UK (n = 248), and South Africa (n = 228). Three causal dimensions emerged from the Exploratory Factor Analysis: “rich countries” (blaming the systematic advantage of and exploitation by rich countries), “poor countries” (blaming the dispositional inadequacy and faults of poor countries), and “fate” (blaming destiny and luck). The retained items were administered in Study 2 to three new samples from Italy (n = 239), the UK (n = 249), and South Africa (n = 248). Confirmatory Factor Analysis (CFA) corroborated the factorial structure of the ACIS, and Multi-Group CFA supported configural and metric invariances of the scale across countries. In addition, we show internal consistency and construct validity of the scale: the scale correlates with relevant constructs (e.g., beliefs about cross-country inequality and ideological orientation) and attitudes toward relevant policies related to international redistribution and migration. Overall, the scale is a valid instrument to assess causal attribution for cross-national inequality and is reliable across countries. By focusing on resource distribution from an international perspective, this scale will allow researchers to broaden the discussion on economic inequality to a global level

Direction for Reform of Public Procurement System : Lesson from Practices

The success of country development process requires the integrated support of a good investment products of public works that conducted by the government. As a developing country, Indonesia needs many public works for infrastructure development, which resulted the government tends to be the largest consumers of construction services. Therefore, the government’s use of construction procurement in public works could be a significant tool to achieve socio-economic objectives. Observation study indicates that focus on procurement phase could be the first priority to develop improvement strategy for performance enhancement of Indonesia public work project. Therefore, some efforts have been made to improve performance of public works through procurement reform by Indonesian government. Some of the efforts demonstrate a good achievement in encouraging improvement, but the other does not provide a good result. The objective of this paper is to identify the strategies of procurement reform that used by the public clients in order to improve the performance of public works. The evaluation process will be made through observation study in a public university and a local government in Indonesia. In order to verify the observation result, interview method was used. The interview result revealed that the significant risks appearing in Indonesia public work procurement are; administrational/ legal risk, moral/ human resource risk, technical/ procedural risk, political risk, and document risk. Therefore, the study will be focused on performance factors related to the risks. The study indicated that in order to achieve good result in procurement reform, the reform should not only focus on technical or hard-system, but also focus on soft-system. The result of the study could hopefully provide some valuable lessons which can be used as a basis for the development of a new framework for overall performance enhancement of public work.conference pape

Measuring Subjective Inequality: Development and Validation of the Perceived Economic Inequality Scale (PEIS)

The main goal of the present research is to develop and validate the Perceived Economic Inequality Scale (PEIS), an instrument measuring individuals’ perceptions of economic inequality at the national level. The study was conducted on a representative sample of the Italian population (N = 1,446, 51% women). The factorial structure of the scale was assessed through cross-validated exploratory-confirmatory factor analyses. To inspect the PEIS psychometric properties, item and correlation analyses were performed. The results showed that the PEIS is a valid and reliable unidimensional measure of perceived economic inequality at the national level. Further support of the PEIS construct validity was provided by the correlation of the scale score with the perceived wage gap and ideological beliefs like the economic system justification, social dominance orientation, meritocratic beliefs, and participants’ political orientation. Crucially, multigroup confirmatory factor analysis supported configural, metric, and scalar invariances of the scale across socio-demographic groups. The PEIS allows researchers to assess the subjective component of economic inequality by also serving as a useful tool for unpacking the psychological correlates of perceived inequality