p5.docx - Causation means that one variable causes a change in another variable To say that two variables are correlated is to say that they share some

# p5.docx - Causation means that one variable causes a change...

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Causation means that one variable causes a change in another variable. To say that two variables are correlated is to say that they share some kind of relationship. To imply causation, a true experiment must be performed where subjects are randomly assigned to different conditions. And also, correlation and causation both need an independent and dependent variable. An independent variable is a condition or piece of data in an experiment that can be controlled or changed. A dependent variable is a condition or piece of data in an experiment that is controlled or influenced by an outside factor, most often the independent variable Warner, (2013). If there is a correlation, then sometimes we can assume that the dependent variable changes solely because the independent variables change. This is where the debate between correlation and causation occurs. However, there is a difference between cause and effect causation and relationship correlation.

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Unformatted text preview: Sometimes these areas can be confused and muddled when analyzing data George & Mallery (2016). for example; positive correlation, where the dependent variables and independent variables in a data set increase or decrease together ; This means that there is a positive relationship between the number. Causation is also known as cause and effect, is when an observed event or action appears to have caused a second event or action Coon & Mitterer (2009). Reference Warner, R. M. (2013). Applied statistics: From bivariate through multivariate techniques (2nd ed.). Thousand Oaks, CA: Sage Publications. George, D., & Mallery, P. (2016). IBM SPSS statistics 23 step by step: A simple guide and reference (14th ed.). New York, NY: Routledge Coon, D. & Mitterer, J.O. (2009). Psychology: A Journey (4th Ed.). Belmont, CA: Cengage Learning...
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