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[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.
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 ...
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.
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.
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).
So the previous question is "loaded", whether or not the respondent has actually beaten their wife–and if the respondent answers anything other than "yes" or "no" in an attempt to deny having beaten their wife, the questioner can accuse them of "trying to dodge the question". The very same question may be loaded in one context, but not in the ...
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.
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