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Hitachi Correlation and Causal Analysis Research Hitachi Automotive Products Los Angeles HAPLA based in Torrance California is a major manufacturer of remanufactured remanned electromechanical automotive parts such as alternators starters distributors electronic control units mass airflow sensors and linear flow valves At HAP-LA the production process and philosophy is greatly influenced by Japanese techniques such as Kaizen 5S and Kanban Sometimes when changes occur in the production process after a Kaizen blitz or restructuring events occur that must be analyzed using correlation and causal analysis methodologies Correlation and Causal Analysis Research Before an analysis can be conducted an understanding of both correlational research and causal analysis research must be met A correlational analysis is one that determines that variables occur together in some specified manner without implying that one causes the other Cooper 2002 p 44 An example of a correlational relationship is the determination that injuries occur in a factory after weekends or holidays In order to test the correlational relationship or hypothesis the variables are tested and determined if they have either a positive or negative relationship A positive relationship is one is which the variables increase and decrease at the same time Wu 2002a The alternative is a negative correlational relationship in which one variable increases while the other variable decreases A correlation coefficient is a measure of strength and direction of the correlation between 100 and -100 Wu 2002a A study of the variables should provide three different results no relationship a positive relationship or a negative relationship Wu 2002b Unlike correlation studies which do not take into account the causal relationship between which variable is the cause and which is the result Wu 2002a a causal research analysis determines if there is a measurable cause and effect relationship between the variables In order to determine causality experimental and simulation studies must be conducted by holding one variable that is assumed to be the cause of the change in the other
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