Related Research Articles
Personality psychology is a branch of psychology that examines personality and its variation among individuals. It aims to show how people are individually different due to psychological forces. Its areas of focus include:
Sociology of religion is the study of the beliefs, practices and organizational forms of religion using the tools and methods of the discipline of sociology. This objective investigation may include the use both of quantitative methods and of qualitative approaches.
Morality is the categorization of intentions, decisions and actions into those that are proper, or right, and those that are improper, or wrong. Morality can be a body of standards or principles derived from a code of conduct from a particular philosophy, religion or culture, or it can derive from a standard that is understood to be universal. Morality may also be specifically synonymous with "goodness", "appropriateness" or "rightness".
Quality of life (QOL) is defined by the World Health Organization as "an individual's perception of their position in life in the context of the culture and value systems in which they live and in relation to their goals, expectations, standards and concerns".
An experiment is a procedure carried out to support or refute a hypothesis, or determine the efficacy or likelihood of something previously untried. Experiments provide insight into cause-and-effect by demonstrating what outcome occurs when a particular factor is manipulated. Experiments vary greatly in goal and scale but always rely on repeatable procedure and logical analysis of the results. There also exist natural experimental studies.
The Oxford English Dictionary defines religiosity as: "Religiousness; religious feeling or belief. [...] Affected or excessive religiousness". Different scholars have seen this concept as broadly about religious orientations and degrees of involvement or commitment. The contrast between "religious" and "religiose" and the concept of "strengthening" faith suggest differences in the intensity of religiosity.
Psychology of religion consists of the application of psychological methods and interpretive frameworks to the diverse contents of religious traditions as well as to both religious and irreligious individuals. The various methods and frameworks can be summarized according to the classic distinction between the natural-scientific and human-scientific approaches. The first cluster amounts to objective, quantitative, and preferably experimental procedures for testing hypotheses about causal connections among the objects of one's study. In contrast, the human-scientific approach accesses the human world of experience using qualitative, phenomenological, and interpretive methods. This approach aims to discern meaningful, rather than causal, connections among the phenomena one seeks to understand.
Construct validity concerns how well a set of indicators represent or reflect a concept that is not directly measurable. Construct validation is the accumulation of evidence to support the interpretation of what a measure reflects. Modern validity theory defines construct validity as the overarching concern of validity research, subsuming all other types of validity evidence such as content validity and criterion validity.
The study of religiosity and intelligence explores the link between religiosity and intelligence or educational level. Religiosity and intelligence are both complex topics that include diverse variables, and the interactions among those variables are not always well understood. For instance, intelligence is often defined differently by different researchers; also, all scores from intelligence tests are only estimates of intelligence, because one cannot achieve concrete measurements of intelligence due to the concept’s abstract nature. Religiosity is also complex, in that it involves wide variations of interactions of religious beliefs, practices, behaviors, and affiliations, across a diverse array of cultures.
Structural equation modeling (SEM) is a diverse set of methods used by scientists doing both observational and experimental research. SEM is used mostly in the social and behavioral sciences but it is also used in epidemiology, business, and other fields. A definition of SEM is difficult without reference to technical language, but a good starting place is the name itself.
In causal inference, a confounder is a variable that influences both the dependent variable and independent variable, causing a spurious association. Confounding is a causal concept, and as such, cannot be described in terms of correlations or associations. The existence of confounders is an important quantitative explanation why correlation does not imply causation. Some notations are explicitly designed to identify the existence, possible existence, or non-existence of confounders in causal relationships between elements of a system.
Social exclusion or social marginalisation is the social disadvantage and relegation to the fringe of society. It is a term that has been used widely in Europe and was first used in France in the late 20th century. In the EU context, the European Commission defines it as "a situation whereby a person is prevented from contributing to and benefiting from economic and social progress". It is used across disciplines including education, sociology, psychology, healthcare, politics and economics.
Aggregate data is high-level data which is acquired by combining individual-level data. For instance, the output of an industry is an aggregate of the firms’ individual outputs within that industry. Aggregate data are applied in statistics, data warehouses, and in economics.
The health belief model (HBM) is a social psychological health behavior change model developed to explain and predict health-related behaviors, particularly in regard to the uptake of health services. The health belief model also refers to an individual's beliefs about preventing diseases, maintaining health, and striving for well-being. The HBM was developed in the 1950s by social psychologists at the U.S. Public Health Service and remains one of the best known and most widely used theories in health behavior research. The HBM suggests that people's beliefs about health problems, perceived benefits of action and barriers to action, and self-efficacy explain engagement in health-promoting behavior. A stimulus, or cue to action, must also be present in order to trigger the health-promoting behavior.
The intersections of morality and religion involve the relationship between religious views and morals. It is common for religions to have value frameworks regarding personal behavior meant to guide adherents in determining between right and wrong. These include the Triple Gems of Jainism, Islam's Sharia, Catholicism's Catechism, Buddhism's Noble Eightfold Path, and Zoroastrianism's "good thoughts, good words, and good deeds" concept, among others. Various sources - such as holy books, oral and written traditions, and religious leaders - may outline and interpret these frameworks. Some religious systems share tenets with secular value-frameworks such as consequentialism, freethought, and utilitarianism.
Scholarly studies have investigated the effects of religion on health. The World Health Organization (WHO) discerns four dimensions of health, namely physical, social, mental, and spiritual health. Having a religious belief may have both positive and negative impacts on health and morbidity.
Most scientists agree that religiosity is not an independent personality trait, despite there being some commonality between their characteristics. Religiosity and personality traits both relate to one's feelings, thoughts, and behaviors. However, unlike for personality, one's level of religiosity is often measured by the presence or lack of belief in and relationship with a higher power, certain lifestyles or behaviors adopted for a higher power, and a sense of belonging with other followers of one's religion. Additionally, personality traits tend to follow a normal distribution, such that the majority of individuals' scores for a personality trait will be concentrated towards the middle, rather than being extremely high or low. Distributions for religiosity, however, follow a non-normal distribution, such that there are more individuals who score particularly high or low on religiosity scales.
Homogamy is marriage between individuals who are, in some culturally important way, similar to each other. It is a form of assortative mating. The union may be based on socioeconomic status, class, gender, caste, ethnicity, or religion, or age in the case of the so-called age homogamy.
Ecosystem health is a metaphor used to describe the condition of an ecosystem. Ecosystem condition can vary as a result of fire, flooding, drought, extinctions, invasive species, climate change, mining, fishing, farming or logging, chemical spills, and a host of other reasons. There is no universally accepted benchmark for a healthy ecosystem, rather the apparent health status of an ecosystem can vary depending upon which health metrics are employed in judging it and which societal aspirations are driving the assessment. Advocates of the health metaphor argue for its simplicity as a communication tool. "Policy-makers and the public need simple, understandable concepts like health." Some critics worry that ecosystem health, a "value-laden construct", can be "passed off as science to unsuspecting policy makers and the public." However, this term is often used in portraying the state of ecosystems worldwide and in conservation and management. For example, scientific journals and the UN often use the terms planetary and ecosystem health, such as the recent journal The Lancet Planetary Health.
In statistics and research design, an index is a composite statistic – a measure of changes in a representative group of individual data points, or in other words, a compound measure that aggregates multiple indicators. Indices – also known as indexes and composite indicators – summarize and rank specific observations.
References
- 1 2 Earl Babbie (1 January 2012). The Practice of Social Research. Cengage Learning. p. 129. ISBN 978-1-133-04979-1.
- ↑ Hawken, Angela; Munck, Gerardo L. (24 April 2012). "Cross-National Indices with Gender-Differentiated Data: What Do They Measure? How Valid Are They?". Social Indicators Research. 111 (3): 801–838. doi:10.1007/s11205-012-0035-7.