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Statview2

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Overall Goals and CommentsEntering Within-Subject DataEntering Between-Subject DataMore Complex DesignsEntering data into Statview by handOverall Goals and CommentsWhether or not your ran your study using E-prime, you will probably want to do your statistics in Statview. If you ran your study using E-prime, E-DataAid will output your data in a form ready for Statview to analyze. If you did not run your study using E-prime, you will have to enter your data directly into Statview by hand. This tutorial will show you how to enter data by hand. We will also go over how to do this for several different kinds of experimental designs (within, between, factorial, etc.).The three most important questions you need to answer before you start entering your data are:1. What are your dependent variables?2. What are your independent variables?3. Are you independent variables between or within subject variables?If you only have one dependent variable (e.g., reaction time), then things are simple. However, if you have several dependent variables (e.g., reaction time and percent correct), you will need to use completely separately columns for each dependent measure. You could even enter it each dependent measure into different data files if you wanted.For each independent measure, figure out whether it is between or within subject. That is, figure out whether each subject received only one treatment of the variable, or whether each subject received all treatments or conditions of that variable. If you have a within-subjects variable, you will make a separate column for each level. Make sure all the columns for each level are next to one another. Then you will need to compact the columns together(as we did in the previous Statview exercise).If you have a between-subjects variable, you will need to keep all the data in one column, and make an extra column that indicates from which condition the data is taken.Step 1: Startup Statview, open a new data file, and create a new column.1. Open StatView (click on the Statview icon on the desktop).2. From the File Menu in StatView, select the New command.This produces an empty file called "Untitled Dataset #1". There is one blank column called "Input column". To enter numbers, click in this cell andtype a number (e.g., 52). You will see that Statview creates a new column called "Column 1".Whenever you want a new column, just type into the "Input column" empty cell.Entering Within-Subject DataEntering Within-Subject DataSuppose you have three conditions, A, B, and C, and 8 subjects. If this is a within subject design, you will have 24 numbers: 3 number for each subject (one per condition). Suppose you got these numbers:Condition DataA 5 7 3 8 9 7 7 9B 3 5 3 6 7 3 2 6 C 3 6 1 4 9 3 6 6Note: these data are ordered, such that the first number in each condition is from the 1st subject, the second number is from the 2nd subject, and so on.Let's suppose you want to do an ANOVA on these data to see whether the condition means are differentfrom one another. To do this, you will need to:1) Create 4 columns, labeled Subject, A, B, and C. Change the Type of each column from Real to Integer by clicking on the word "Real" and holding the button down so a menu appears.2) Enter the numbers 1 through 8 into the Subject column.3) Enter the data into columns A, B, and C. Make sure you put one number per cell and that the first number is the row for subject 1, the second number is the row for subject 2, etc.4) Highlight columns A, B, and C (not the Subject column). Click on the compact button. Type the word "Condition data" to name the over all data, and then click compact. This tells Statview that these three conditions are part of one within-subjects variable.5) Now you have your data ready for analysis. Don’t forget to save your file!6) Open an analysis window (New View from the Analyze menu).7) n the left of the analysis window is a list of different kinds of analyses that you can do with Statview. Double-click on ANOVA.8) Now we need to tell Statview what kind of ANOVA we want to do. First click on Repeated Measures in the top right to select this type of design. This tells Statview that we want a repeated measures analysis instead of a between subjects analysis. Then click on All Effects where it asks you what kinds of tables and graphs to print. Then click on OK. 9) Now we need to tell Statview which variables to put in the analysis. From the Statview View menu, select the Variables Browser option. This will open up a little window that lists the variables in ourdataset. Select the Condition Data variable and then click on the Dependent button (but, first make sure the repeated measures object is highlighted).10) We should now have a completed ANOVA table done for us. The ANOVA table lists all our main effects and interactions. Look over the table and see whether the effect of condition is statistically significant.11) Now you will want to print out the tables of means for each main effect and interaction. To do this, click on the little triangle next to ANOVA on the left of the analysis window. This will open up a number of options for ANOVA. Then double-click on Means Table. If you want graphs, you double-click on Interaction bar graphs or Interaction line graphs.12) Since you can't print these out in the lab, you can either write down the important information by hand, or you can save the results to a file and print it out somewhere else. To save the results, pick Save As from the File menu. Then give your new results file a name, and change the format from Statview to either Text or WMF or EMF. The text format will have only the text (no pictures). The WMF or EMF formats will be pictures including graphs. You can open the WMF and EMF files using MS Word (Using the picture and from file options from the Insert menu).Entering Between-Subject DataEntering Between-Subject DataSuppose you have three conditions, A, B, and C, and 24 subjects. If this is a between subject design, you will have 24 numbers: 1 number for each subject. Suppose you got these numbers:Condition DataA 5 7 3 8 9 7 7 9B 3 5 3 6 7 3 2 6 C 3 6 1 4 9 3 6 6Note: these data are NOT ordered. The subjects in each condition are different from one another.Let's suppose you want to do an ANOVA on these data to see whether the condition means are differentfrom one another. To do this, you will need to:1) Open a new file (and close your other open windows)2) Create 2 columns, labeled Condition and Data. Make


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