PSYC 300 Chapter Notes - Chapter 10: Latin Square, Analysis Of Variance, Statistical Hypothesis Testing

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Research methods for the behavioral sciences chapter 10. Before assuming one thing causes another, there must be an association or correlation between the iv and dv. Causal relationships are probabilistic and not perfect: temporal priority. If event a occurs after event b, it cannot be causing that event. Using correlational research to draw causal inferences is problematic because it"s difficult to determine the temporal ordering of events in everyday life: control of common-causal variables. One major strength of experimental design is through experimental manipulations. Researcher can rule out possibility of spurious relationships between. One-way experimental designs - has one independent variable independent and dependent variable: experimental manipulation. Levels - specific situations that are created within the manipulation. Manipulation allows researcher to rule out possibility of common- causal variables - variables that cause both the iv and dv: eliminated by creating equivalence (or controlling for differences) among participants before manipulation occurs.

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