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The g factor [a] is a construct developed in psychometric investigations of cognitive abilities and human intelligence.It is a variable that summarizes positive correlations among different cognitive tasks, reflecting the assertion that an individual's performance on one type of cognitive task tends to be comparable to that person's performance on other kinds of cognitive tasks.
The correlation coefficient is +1 in the case of a perfect direct (increasing) linear relationship (correlation), −1 in the case of a perfect inverse (decreasing) linear relationship (anti-correlation), [5] and some value in the open interval (,) in all other cases, indicating the degree of linear dependence between the variables. As it ...
A correlation coefficient is a numerical measure of some type of linear correlation, meaning a statistical relationship between two variables. [a] The variables may be two columns of a given data set of observations, often called a sample, or two components of a multivariate random variable with a known distribution. [citation needed]
Jensen went on to argue that the finding of a positive correlation between group differences and g-loadings would support the hypothesis that the group differences were largely in general mental ability—the later formulation of Spearman's hypothesis. [2] [4] The validity of this inference has been much debated.
In statistics, an effect size is a value measuring the strength of the relationship between two variables in a population, or a sample-based estimate of that quantity. It can refer to the value of a statistic calculated from a sample of data, the value of one parameter for a hypothetical population, or to the equation that operationalizes how statistics or parameters lead to the effect size ...
The item–total correlation is the correlation between a scored item and the total test score. It is an item statistic used in psychometric analysis to diagnose assessment items that fail to indicate the underlying psychological trait so that they can be removed or revised.
PsyCap has positive correlation with desired employee attitudes, behaviors and performance. [9]A meta-analysis of 51 independent samples found strong, significant, positive relationship between PsyCap and desirable attitudes (e.g., satisfaction, commitment, and well-being), behaviors (e.g., citizenship) and performance (self, supervisor rated, and objective) and a negative relationship with ...
Research has found a strong correlation between high self-esteem and self-reported happiness, but it is not yet known whether this relationship is causal. This means that although people with high self-esteem tend to report greater happiness, it is not certain whether having high self-esteem directly causes increased happiness. [ 6 ]