HUMA 1125 Lecture Notes - Distressing, Standard Deviation, Central Tendency

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One variable you don"t want: confounding, it screws up research. We want to say independent variable effects the dependent variable. Confounding variable - is a variable that interferes with the results of your study. It affects the dependent variable so you don"t know whether the effect is caused by the independent variable, by the confounding variable, or by both. Try to prevent a confounding variable from the beginning. Random assignment by using this, you are assuming that all individuals difference variable, are being evenly distributed among groups so that the groups are the same. Larger the sample them more effective it is: correlational method measures the degree of relationship between 2 variables. There"s no attempt to manipulate or control variables. Rather naturally occurring changes on both variables are measured to see if they"re related. Measure what already exists (give students a rating of how tired they are.

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