EHS 460 Lecture Notes - Lecture 18: Repeated Measures Design, Analysis Of Variance, Time Control
4 Dec 2017
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Diff b/w one group and another group. Diff b/w group 1 and 2 in response to intervention. Association b/w variable x and variable y. How statistics test differences independent and dependent variables. Ex. test for performance tests how reliable/repeatable tests are independent t tests compare diff. b/w separate groups. Based on one direction hypothesis two tailed. One or two tailed tests are determined by choice of alternative hypothesis. Generalization of independent samples t-test independent samples t test used to compare mean values of 2 different groups. One way anova compares more than 2 groups. 2 groups (exercise and control) measured every 2 weeks for 12 weeks. Analysis is b/w (group)-by-within (trials) anova w/ repeated measures on trials (trials are time, every 2 weeks) Measuring same experimental unit (cell, animal, patient) on a number of occasions. Measurement paired or correlated independent variable- intensity ex. Appropriate analysis used- one way anova control - gender, age independent- flexibility ex.
