Purpose: The overall goal of the learning labs is for you to learn the basic techniques involved in working with data sets. These techniques include: basic summation principles graphing data analyzing data with statistical techniques you will learn in this course The goal for this learning lab is to teach you to: evaluate results from a two-way ANOVA how to graph an ANOVA interaction effect in Excel to interpret the output of the analysis. Introduction: In this learning lab, we will be looking at a similar data set from lesson 11 which was an experiment on memory. In this experiment people were given a list of words (consisting of types of sports), with the goal to remember as many of them as possible. 1 In one condition, people were instructed to imagine themselves doing the sports (Imagine) 2 In a second condition they saw images of the sports alongside the words (Watch) 3 In a neutral condition (Neutral) they just read the list of words. After going through the list, each participant tried to recall as many of the words as possible. This second study differs from the first in that now the experimenter also asked if the person was an athlete or not. The resulting scores are listed in the excel file as well as whether the person was ever involved on a sports team by classifying them as athlete or nonathlete in column A of the excel file. Column B represents the number of words recalled for the neutral condition Column C for the imagine condition Column D for the watch condition Assignment: In order to test if there is a main effect for the type of condition the subject was in, a main effect for if the person was an athlete or not, and to test for an interaction effect such that the number of words recalled in a condition is also dependent on a second variable (whether the subject is an athlete or not) we need to first determine the mean number of words recalled for each of these variables. Open the file PSYCH200_Lesson_12_Learning_Lab.xls with Excel. You should see the scores of different participants in the three different conditions. Two-Factor ANOVA: 1 First determine the mean number of words recalled for the nonathletes in the neutral, imagine, and watch conditions in the appropriate cells of row 23. 2 Enter the mean number of words recalled for the athlete in the neutral, imagine, and watch conditions in the appropriate cells of row 24. 3 Next, takes these means and enter them into the Two-way ANOVA apple (Links to an external site.) t. 4 (this link will open in a new window) 5 In the applet enter the group size from the pull down bar (10). 6 Leave MSE set to 2. Assume that: B1 is nonathlete B2 is athlete A1 represents the neutral condition A2 represents the imagine condition A3 represents the watch condition Enter into those spaces the means for each condition that you calculated using your excel file. Note the probability value for each of the conditions. Remember a p<.05 would be considered a significant effect. The applet should have also graphed the results. Graphing an Interaction: Now we will replicate that graph in excel. To do this: 1 Select and highlight the entire area of your means data table from row 22 to 24 and column A to D so that you have highlighted both the athlete/nonathlete variable names and the condition names in addition to the means for the conditions. 2 Chose insert from the tabs at the top 3 Select \"Line\" for line graph 4 5 Select the first 2-D line graph You should now see the same interaction plot that was graphed by the applet. However, now it should also include all the appropriate labels. Making Inferences Questions: 1 Do the results from the applet suggest a significant main effect for memory condition (A)? Y/N 2 Do the results from the applet suggest a significant main effect for Athlete vs. nonathlete (B)? 3 Do the results from the applet suggest a significant interaction effect for condition X athlete (AB)? 4 In your own words describe what these effects mean as they apply to this set of data (i.e. describe what is represented by the graph). Submitting To complete the learning lab, you need to submit your Excel file with answers. Neutral nonathlete nonathlete nonathlete nonathlete nonathlete nonathlete nonathlete nonathlete nonathlete nonathlete athlete athlete athlete athlete athlete athlete athlete athlete athlete athlete Imagine 4 3 5 6 3 5 4 5 6 4 8 5 3 2 5 6 3 4 4 6 neutral Watch 4 4 6 4 7 6 6 7 6 5 9 4 6 9 8 8 7 6 8 9 imagine 5 4 4 5 4 6 4 3 8 5 8 6 9 6 4 6 9 7 8 9 watch nonathlete athlete 1. Do the results from the applet suggest a significant main effect for condition (A)? Y/N 2. Do the results from the applet suggest a significant main effect for Athlete vs. nonathlete (B)? 3. Do the results from the applet suggest a significant interaction effect for condition by athlete (AB)? 4. In your own words describe what these effects mean as they apply to this set of data (i.e. describe what on (A)? Y/N vs. nonathlete (B)? ondition by athlete (AB)? set of data (i.e. describe what is represented by the graph)