1. Affective commitment - emotion based, staying because you want to (loyalty) for example, missing work friends if you left, liking the job atmosphere, enjoying what you do at work Show
2. Continuance commitment - a desire on the part of an employee to remain a member of an organization because of an awareness of the costs associated with leaving the
organization 1. Normative commitment - when employees feel like they have to stay, no one else gave you a chance but they did. Which of the following is required in order to establish a causal inference between two variables quizlet?Making causal inferences requires establishing three things. First, that the two variables are correlated; second, that the presumed cause precedes the presumed effect in time; and third, that no alternative explanation exists for the correlation.
What summarizes the statistical relationship between variables?The statistical index of the degree to which two variables are associated is the correlation coefficient. Developed by Karl Pearson, it is sometimes called the "Pearson correlation coefficient". The correlation coefficient summarizes the relationship between two variables.
Which of the following explains the term causal inferences?Which of the following explains the term causal inferences? Establishing that one variable really does cause another.
Which of these takes all the correlations found in studies of a relationship and calculates a weighted average of them?Meta-analysis takes all of the correlations found in studies of a particular relationship and calculates a weighted average (such that correlations based on studies with large samples are weighted more than correlations based on studies with small samples).
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A causal inference describes the statistical relationship between two variables group starts
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