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126  THE RESEARCH PROCESS

            TYPE OF INVESTIGATION: CASUAL VERSUS
            CORRELATIONAL

                             A manager should determine whether a causal or a correlational study is needed
                             to find an answer to the issue at hand. The former is done when it is necessary
                             to establish a definitive cause-and-effect relationship. However, if all that the
                             manager wants is a mere identification of the important factors “associated with”
                             the problem, then a correlational study is called for. In the former case, the
                             researcher is keen on delineating one or more factors that are undoubtedly caus-
                             ing the problem. In other words, the intention of the researcher conducting a
                             causal study is to be able to state that variable X causes variable Y. So, when
                             variable X is removed or altered in some way, problem Y is solved. Quite often,
                             however, it is not just one or more variables that cause a problem in organiza-
                             tions. Given the fact that most of the time there are multiple factors that influ-
                             ence one another and the problem in a chainlike fashion, the researcher might
                             be asked to identify the crucial factors associated with the problem, rather than
                             establish a cause-and-effect relationship.
                               The study in which the researcher wants to delineate the cause of one or more
                             problems is called a causal study. When the researcher is interested in delin-
                             eating the important variables associated with the problem, the study is called a
                             correlational study. It may be of interest to know that attempts are sometimes
                             made to establish cause-and-effect relationships through certain types of corre-
                             lational or regression analyses, such as cross-lagged correlations and path analy-
                             sis (Billings & Wroten, 1978; Namboodiri, Carter, & Blalock, 1975). Whether a
                             study is a causal or a correlational one thus depends on the type of research
                             questions asked and how the problem is defined. The following example will
                             illustrate the difference.



            Example 6.9      A causal study question:
                               Does smoking cause cancer?
                             A correlational study question:
                               Are smoking and cancer related?
                                 OR
                               Are smoking, drinking, and chewing tobacco  associated with cancer? If so,
                               which of these contributes most to the variance in the dependent variable?

                             The answer to the first question will help to establish whether people who do
                             not smoke will  not develop cancer. The answer to the second question will
                             determine if smoking and cancer are correlated. The third situation recognizes
                             that there are perhaps several other factors that influence cancer apart from the
                             three identified, but do these three help to explain a significant amount of the
                             variance in cancer? If they do, then which among the three variables examined
                             is the one that has the greatest association with it, which is the next, and which
                             the third? The answer to the correlational study would help determine the extent
                             of risk of cancer that people expose themselves to by smoking, drinking, and
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