Essays on Cultural Intelligence

In his bestselling book Culture's Consequences, Geert Hofstede proposed four dimensions on which the differences among national cultures can be understood: Individualism, Power Distance, Uncertainty Avoidance and Masculinity. This volume comprises the first in-depth discussion of the masculinity dimension and how it can help us to understand differences among cultures. The book begins with a general explanation of the masculinity dimension, and discusses how it illuminates broad features of different cultures. The following parts apply the dimension more specifically to gender (and gender identity), sexuality (and sexual behaviour) and religion, probably the most influential variable of all. Hofstede closes the book with a synthesizing statement about cultural values as they are linked to sexuality, gender and religion.

Culture′s Consequences: International Differences in Work-Related Values

The kappa statistic is frequently used to test interrater reliability. The importance of rater reliability lies in the fact that it represents the extent to which the data collected in the study are correct representations of the variables measured. Measurement of the extent to which data collectors (raters) assign the same score to the same variable is called interrater reliability. While there have been a variety of methods to measure interrater reliability, traditionally it was measured as percent agreement, calculated as the number of agreement scores divided by the total number of scores. In 1960, Jacob Cohen critiqued use of percent agreement due to its inability to account for chance agreement. He introduced the Cohen's kappa, developed to account for the possibility that raters actually guess on at least some variables due to uncertainty. Like most correlation statistics, the kappa can range from -1 to +1. While the kappa is one of the most commonly used statistics to test interrater reliability, it has limitations. Judgments about what level of kappa should be acceptable for health research are questioned. Cohen's suggested interpretation may be too lenient for health related studies because it implies that a score as low as 0.41 might be acceptable. Kappa and percent agreement are compared, and levels for both kappa and percent agreement that should be demanded in healthcare studies are suggested.

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Interrater reliability: the kappa statistic

Is IQ destiny? Perhaps not nearly as much as humans think. This text argues that our view of human intelligence is far too narrow, ignoring a crucial range of abilities that matter immensely in terms of how we do in life. Drawing on brain and behavioural research, the author shows the factors at work when people of high IQ flounder and those of modest IQ do surprisingly well. These factors add up to a different way of succeeding in life - one the author terms "emotional intelligence". Emotional intelligence includes self-awareness and impulse control, persistence, zeal and self-motivation, empathy and social deftness. These are the qualities that mark people that excel. They are also the hallmarks of character and self-discipline, of altruism and compassion. As Goleman demonstrates, the personal costs of deficits in emotional intelligence can range from problems in marriage and poor physical health in adults to eating disorders and depression in children. But the news is hopeful. Emotional intelligence is not fixed at birth. Goleman's argument gives insights into the brain architecture underlying emotion and rationality. He shows how emotional intelligence can be nurtured and strengthened in all of us. Since the emotional lessons a child learns actually sculpt the brain's circuitry, Goleman provides detailed guidance as to how parents and schools can benefit from this.

Emotional Intelligence: Why It Can Matter More Than IQ

Introduction Some Central Issues Research Questions From Research Questions to Data Quantitative Research Design Collecting Quantitative Data The Analysis of Quantitative Data Design in Qualitative Research Collecting Qualitative Data The Analysis of Qualitative Data Mixed Methods and Evaluative Criteria Research Writing

Introduction to Social Research: Quantitative and Qualitative Approaches

A new form of document coupling called co-citation is defined as the frequency with which two documents are cited together. The co-citation frequency of two scientific papers can be determined by comparing lists of citing documents in the Science Citation Index and counting identical entries. Networks of co-cited papers can be generated for specific scientific specialties, and an example is drawn from the literature of particle physics. Co-citation patterns are found to differ significantly from bibliographic coupling patterns, but to agree generally with patterns of direct citation. Clusters of co-cited papers provide a new way to study the specialty structure of science. They may provide a new approach to indexing and to the creation of SDI profiles.

Essays on Cultural Intelligence

References

Culture′s Consequences: International Differences in Work-Related Values

Interrater reliability: the kappa statistic

Emotional Intelligence: Why It Can Matter More Than IQ

Introduction to Social Research: Quantitative and Qualitative Approaches

Co-citation in the scientific literature: A new measure of the relationship between two documents

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