CRMJ 368 Lecture Notes - Lecture 3: Shoe Size, Dependent And Independent Variables, National Crime Victimization Survey
18 Mar 2019
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Goes back to section: casual relationships: understanding the relationship between x and y might be complicated by antecedent and intervening variables, antecedent variable [z] affects x itself [but can also affect y!, preceding/pre-existing variable. Intervening variable [z] affects response to x [affects relationship between x and. Y: mediating variable, examples, motivation to succeed = pre-existing variable. [x]; iv = hours spend studying: alcoholic beverages consumed while studying is the intervening variable. [y]; dv= exam score: parental income = pre-existing variable. [x]; iv = personal income: medical care is the intervening variable. If it can be determined that x is causing or impacting y : then a causal relationship exists between x and y, and we can predict that y will happen based upon the presence of x! When exploring casual relationships : research methodology = techniques we use to investigate relationships between phenomena.
