Search results
Results from the WOW.Com Content Network
In statistics, homogeneity and its opposite, heterogeneity, arise in describing the properties of a dataset, or several datasets. They relate to the validity of the often convenient assumption that the statistical properties of any one part of an overall dataset are the same as any other part.
Educational psychology is the branch of psychology concerned with the scientific study of human learning.The study of learning processes, from both cognitive and behavioral perspectives, allows researchers to understand individual differences in intelligence, cognitive development, affect, motivation, self-regulation, and self-concept, as well as their role in learning.
Outgroup homogeneity can be defined as seeing the outgroup members as more homogeneous than ingroup members. [43] Self-categorization accounts for the outgroup homogeneity effect as a function of perceiver motivation and the resultant comparative context, [4] [15] which is a description of the psychologically available stimuli at any one time ...
Homogeneity and heterogeneity; only ' b ' is homogeneous Homogeneity and heterogeneity are concepts relating to the uniformity of a substance, process or image.A homogeneous feature is uniform in composition or character (i.e. color, shape, size, weight, height, distribution, texture, language, income, disease, temperature, radioactivity, architectural design, etc.); one that is heterogeneous ...
Statistical testing for a non-zero heterogeneity variance is often done based on Cochran's Q [13] or related test procedures. This common procedure however is questionable for several reasons, namely, the low power of such tests [14] especially in the very common case of only few estimates being combined in the analysis, [15] [7] as well as the specification of homogeneity as the null ...
The exaggeration took place due to the expectations as opposed to the actual group differences present. This effect between the ingroup and the outgroup is due to a number of reasons. Those in the ingroup encode outgroup characteristics, leading to the perceived differences between the two groups, but especially from the perspective of the ingroup.
If the resulting p-value of Levene's test is less than some significance level (typically 0.05), the obtained differences in sample variances are unlikely to have occurred based on random sampling from a population with equal variances. Thus, the null hypothesis of equal variances is rejected and it is concluded that there is a difference ...
The out-group homogeneity bias was found between groups such as "men" and "women" who obviously interact frequently. [4] Elsewhere, this difference is attributed to differences in how people store or process in-group versus out-group information.