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Erich Fromm's (1900–1980) factors were acquiring and assimilating things ("assimilation"), and reacting to people ("socialization"). These two factors form four types of character, which he calls Receptive, Exploitative, Hoarding and Marketing. Also deserving mention is a single scale invented in the 1940s by Karen Horney (1885–1952). This ...
[35] [36] [37] For any solution with two or more factors there are an infinite number of orientations of the factors that will explain the data equally well. Because there is no unique solution, a researcher must select a single solution from the infinite possibilities.
Social exchange theory is a sociological and psychological theory that studies the social behavior in the interaction of two parties that implement a cost-benefit analysis to determine risks and benefits. The theory also involves economic relationships—the cost-benefit analysis occurs when each party has goods that the other parties value. [1]
Crossed factors: Two factors are crossed if every level of one occurs with every level of the other in the experiment. Nested factors: A factor "A" is nested within another factor "B" if the levels or values of "A" are different for every level or value of "B". Note: Nested factors or effects have a hierarchical relationship.
Factor analysis is a statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors. For example, it is possible that variations in six observed variables mainly reflect the variations in two unobserved (underlying) variables.
The two-factor theory (also known as Herzberg's motivation-hygiene theory and dual-factor theory) states that there are certain factors in the workplace that cause job satisfaction while a separate set of factors cause dissatisfaction, all of which act independently of each other.
This theory asserts that there are three factors which increase a person's likelihood to respond to social influence: [20] Strength: The importance of the influencing group to the individual; Immediacy: Physical (and temporal) proximity of the influencing group to the individual at the time of the influence attempt
In statistics, the two-way analysis of variance (ANOVA) is an extension of the one-way ANOVA that examines the influence of two different categorical independent variables on one continuous dependent variable. The two-way ANOVA not only aims at assessing the main effect of each independent variable but also if there is any interaction between them.