Var är Kvinnorna i Iran? En studie över sociala rörelser och kvinnlig representation i Iran

Uppsatsen är en kvalitativ fallstudie av de iranska kvinnornas roll i samhället och hur de arbetar för ett mer jämlikt samhälle. Ett av Irans mest omtvistade problem handlar om de kvinnliga rättigheterna eller snarare avsaknaden av dessa. Uppsatsens frågeställning är: om, på vilket sett ett ökat antal kvinnor i parlamentet inneburit en större jämställdhet för kvinnor i Iran samt om, på vilket sett de sociala rörelserna i Iran har haft en positiv påverkan för jämställdheten i landet? För att bevara frågeställningen har vi använt oss av sociala rörelseteorier, teorier om kvinnlig representation samt av feministisk teori. Materialet består av sekundärdata i form av tidigare forskning. I analysen av dessa data har teorierna applicerats för att besvara frågeställningen. Uppsatsens huvudsakliga resultat är att det inte skett en betydande förändring för de kvinnliga rättigheterna. Sociala rörelser står nästintill maktlösa under den traditionella makten i landet. De få kvinnliga representanterna i parlamentet följer sin konservativa övertygelse

Decomposition of multivariate phenotypic means in multigroup genetic covariance structure analysis

Observed differences in phenotypic means between groups such as parents and their offspring or male and female twins can be decomposed into genetic and environmental components. The decomposition is based on the assumption that the difference in phenotypic means is due to a difference in the location of the normal genetic and environmental distributions underlying the phenotypic individual differences. Differences between the groups in variance can be accommodated insofar as they are due to differences in unique variance or can be modeled using a scale parameter. The decomposition may be carried out in the standard analysis of genetic covariance structure using, for instance, LISREL. Illustrations are given using simulated data and twin data relating to blood pressure. Other possible applications are mentioned. KEY WORDS: group differences in phenotypic means; genetic means; environmental means; genetic and environmental covariance structure; twin data; parent-offspring data

A cross-cultural study of music in history

Music lives in every culture, yet most investigations into music are based on Western music and Western listeners. This has not only ignored the cultural richness in music itself, but has also limited the impact of research on large varieties of societies. In reality, music is multi-cultural, multi-lingual and multi-facet. Evident in communication, education and healthcare systems, multi-cultural challenges have also merged into many aspects of our historical and contemporary societies. Moreover, rapid changes of the society and fast evolutionary development of media and technology have enriched world wealth of music. In this paper, we demonstrate that music has a rich but cross-cultural foundation in history with significance in linguistics, health and art. Consequently, we present a multi-disciplinary or multi-cultural study of music in history, revealing its significance in linguistics, health and wellbeing

Simultaneous genetic analysis of longitudinal means and covariance structure in the simplex model using twin data

A longitudinal model based on the simplex model is presented to analyze simultaneously means and covariance structure using univariate longitudinal twin data. The objective of the model is to decompose the mean trend into components which can be attributed to those genetic and environmental factors which give rise to phenotypic individual differences and a component of unknown constitution which does not involve individual differences. Illustrations are given using simulated data and repeatedly measured weight obtained in a sample of 82 female twin pairs on sbc occasions. KEY WORDS: repeated measures; genetic and environmental covariance structure; mean trend; longitudinal twin data; genetic simplex mode; LISREL

The Impact of Climate Vulnerability on Firms’ Cost of Capital and Access to Finance

This paper presents the first systematic investigation of the effects of climate-related vulnerability on firms’ cost of capital and access to finance and sheds light on a hitherto under-appreciated cost of climate change for climate vulnerable developing economies. We first show theoretically how climate vulnerability could affect firms’ cost of capital and access to finance. Apart from a possible impact on cost of debt and equity, which drive cost of capital, firms in countries with high exposure to climate risk might be more financially constrained. The latter results in low levels of debt relative to total assets or equity due to restricted access to finance. We then examine this issue empirically, using panel data of 15,265 firms in 71 countries over the period 1999-2017. We invoke panel data regressions and structural equation models, with firm-level data from the Thomson Reuters Eikon database and different measures of climate vulnerability based on the ND-GAIN climate vulnerability index. We construct a new climate vulnerability index and use panel instrumental variable regressions to address endogeneity problems. Our empirical findings suggest that climate vulnerability increases cost of debt directly and indirectly through its impact on restricting access to finance. However, we find limited evidence that climate vulnerability affects cost of equity. Our estimations suggest that the direct effect of climate vulnerability on the average increase in cost of debt from 1991 to 2017 has been 0.63%. In addition, the indirect effect through climate vulnerability’s impact on financial leverage has contributed an additional 0.05%

LISREL analysis of twin data with structured means

Introduces a method to test the hypothesis that the phenotypic means and the phenotypic covariances can be modeled with the same common genetic and environmental factors. LISREL can be used to implement the method. An illustration with simulated twin data is provided

Simultaneous genetic analysis of means and covariance structure: Pearson-Lawley selection rules

The object of this paper is to indicate that the Pearson-Lawley selection rules form a plausible general theory for the simultaneous genetic analysis of means and covariance structure. Models are presented based on phenotypic selection and latent selection. Previously presented quantitative genetic models to decompose means and covariance structure simultaneously are reconsidered as instances of latent selection. The selection rules are very useful in the context of behavior genetic modeling because they lead to testable models and a conceptual framework for explaining variation between and within groups by the same genetic and environmental factors. © 1994 Plenum Publishing Corporation

Knowledge withholding intentions in teams: the roles of normative conformity, affective bonding, rational choice and social cognition

The decision of members in a knowledge-intensive team to withhold their knowledge may threaten the performance of the team. To address the problem of knowledge resource risk in project teams, we maintain that it is important to understand why team members choose to withhold their knowledge, conceptualized as knowledge-withholding intention. In line with the literature on effort withholding, the research on multifoci relations between justice perceptions and social exchanges, and social cognitive theory, we proposed that the social exchange relationships that individuals form in the workplace, their perceptions of justice, and their knowledge withholding self-efficacy would influence their knowledge-withholding intentions. Through a survey of 227 information system development team workers, we found that all social exchange relationship variables had a significant impact on knowledge-withholding intentions. However, the justice perception variables only indirectly influenced knowledge-withholding intentions through the mediation of social exchange relationships. In addition, one of the task variables, task interdependence, influenced knowledge withholding intention through the mediation of knowledge withholding self-efficacy. Our results contribute to the knowledge management literature by providing a better understanding of the antecedents of knowledge withholding. We also offer suggestions for future research utilizing the framework of Kidwell and Bennett (1993) to study effort and knowledge withholding

Phenotypic Complexity, Measurement Bias, and Poor Phenotypic Resolution Contribute to the Missing Heritability Problem in Genetic Association Studies

Background The variance explained by genetic variants as identified in (genome-wide) genetic association studies is typically small compared to family-based heritability estimates. Explanations of this ‘missing heritability’ have been mainly genetic, such as genetic heterogeneity and complex (epi-)genetic mechanisms. Methodology We used comprehensive simulation studies to show that three phenotypic measurement issues also provide viable explanations of the missing heritability: phenotypic complexity, measurement bias, and phenotypic resolution. We identify the circumstances in which the use of phenotypic sum-scores and the presence of measurement bias lower the power to detect genetic variants. In addition, we show how the differential resolution of psychometric instruments (i.e., whether the instrument includes items that resolve individual differences in the normal range or in the clinical range of a phenotype) affects the power to detect genetic variants. Conclusion We conclude that careful phenotypic data modelling can improve the genetic signal, and thus the statistical power to identify genetic variants by 20-99