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The term "spurious relationship" is commonly used in statistics and in particular in experimental research techniques, both of which attempt to understand and predict direct causal relationships (X → Y). A non-causal correlation can be spuriously created by an antecedent which causes both (W → X and W → Y).
Relationship science is an interdisciplinary field dedicated to the scientific study of interpersonal relationship processes. [1] Due to its interdisciplinary nature, relationship science is made up of researchers of various professional backgrounds within psychology (e.g., clinical, social, and developmental psychologists) and outside of psychology (e.g., anthropologists, sociologists ...
Dunbar's number has become of interest in anthropology, evolutionary psychology, [12] statistics, and business management.For example, developers of social software are interested in it, as they need to know the size of social networks their software needs to take into account; and in the modern military, operational psychologists seek such data to support or refute policies related to ...
The four relational models are as follows: Communal sharing (CS) relationships are the most basic form of relationship where some bounded group of people are conceived as equivalent, undifferentiated and interchangeable such that distinct individual identities are disregarded and commonalities are emphasized, with intimate and kinship relations being prototypical examples of CS relationship. [2]
Tang and Wang (2012) [incomplete short citation], based on their research study on the relationship between the social penetration theory and blogging, discovered that "bloggers disclose their thoughts, feelings, and experiences to their best friends in the real world the deepest and widest, rather than to their parents and online audiences ...
Simple mediation model. The independent variable causes the mediator variable; the mediator variable causes the dependent variable. In statistics, a mediation model seeks to identify and explain the mechanism or process that underlies an observed relationship between an independent variable and a dependent variable via the inclusion of a third hypothetical variable, known as a mediator ...
Interaction effect of education and ideology on concern about sea level rise. In statistics, an interaction may arise when considering the relationship among three or more variables, and describes a situation in which the effect of one causal variable on an outcome depends on the state of a second causal variable (that is, when effects of the two causes are not additive).
Correlations must first be confirmed as real, and every possible causative relationship must then be systematically explored. In the end, correlation alone cannot be used as evidence for a cause-and-effect relationship between a treatment and benefit, a risk factor and a disease, or a social or economic factor and various outcomes.