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From: Dr. Mitchell
Date: 30 Apr 2007
Time: 20:19:03 -0400
Remote Name: 151.161.36.66
1. what does the term the way indicate in factorial experiments? The term way basically indicates the number of independent variables in an ANOVA. So, a one-way means there is one independent variable, a two-way means there are two independent variables, and so on. 2. when will main effects occur? A main effect occurs when one independent variable influences the dependent variable. 3. how can you tell if there is an interaction based on a graph? your guess is right :) 4. what are the disitctions you want us to remember about counterbalencing, reverse counterbalencing and partial counterbalencing? Just how to do them...their defintions, which should also tell you their differences. 5. is there another advantage of mixed model designs beside that the utilize the advantages of within subjects and between subjects designs? it reduces the transparency problem (participants figuring out the hypothesis in a within subjects design) 6. is the type of information provided by the central tendency the mean median and mode or is it something else? well, those are measures of central tendency...central tendency provides the average response of your participants 7. is the difference between calculating the standard deviation for a sample and a population only the difference between dividing by (n) or dividing by (n - 1)? yep 8. how are inferential statistics and probability related? inferential statistics are based on probability... probability is the likelihood of an event occurring; inferential statistics provide an estimate of the likelihood that your results occurred by chance (pgs 278 - 281). 9. is the alpha level the same as the critical value? no...the critical value is the result of a statistical formula; however, it is the value at which the probability that your results are due to chance reaches alpha (alpha is an arbitrary probability selected by each field that is deemed an "acceptable" level of chance) 10. how do you reduce the likelyhood of type two errors? make sure you measure something with a large effect size, minimize measurement error, have a larger sample size, and/or minimize range restriction (pages 284 - 287)