SPSS Guide to Data Analysis Page 4 of 9 should expect that the t value will be negative.If the test is significant but the t value is positive,you know that it means that B was significantly less than A (so Ha was predicted in the wrong direction,and you should accept Ho). For Independent Groups ANOVA Analyze→General Linear Model→One-Vay ANOVA Put the Dependent variable into the Dependent List box.Put the Independent variable into the Factor box. ● Click on the Post Hoc box.Click on the Tukey box.Click Continue If means and standard deviations are needed,click on the Options box.Then click on Descriptive. For Repeated Measures (a.k.a.Correlated Groups,Paired Samples)ANOVA Analyze General Linear Model>Repeated Measures Type in the within-subject factor name in the Within-Subject Factor Name box. This cannot be the name of a pre-existing variable.You will have to make one up. Type in the number of levels in the Number of levels box.How do youknow how many levels there are?If my within-subject factor was "Tests"and I have a variable called "Test 1"a variable called"Test 2"and a variable called"Test 3," then I would have 3 levels.In other words,the number of levels equals the number of variables(that you are examining)that correspond to the within- subject factor. 。Click on Define Put the variables you want to test into the Variables box.Preferably,put them in the right order(if there is an order to them).This will keep you from getting confused.For example,I should put in my "Test 1"variable in first,my "Test 2" variable in second,etc. For post hoc tests,click on Options,highlight the variable,move it into Display Means For box,click on Compare Main Effects,change Confidence Interval Adjustment to Bonferonni (the closest we can get to Tukey's Test).You may also want to click on Estimates of Effect Size for eta Remember to look at the Tests of Within-Subjects Effects box for your ANOVA results. Correlation Coefficient(r) Analyze→Correlate→Bivariate Make sure that the Pearson box (and only the Pearson box)has a check in it. Put the variables in the Variables box.Their order is not important.SPSS Guide to Data Analysis Page 4 of 9 should expect that the t value will be negative. If the test is significant but the t value is positive, you know that it means that B was significantly less than A (so Ha was predicted in the wrong direction, and you should accept Ho).] For Independent Groups ANOVA Analyze ‡ General Linear Model ‡ One-Way ANOVA · Put the Dependent variable into the Dependent List box. Put the Independent variable into the Factor box. · Click on the Post Hoc box. Click on the Tukey box. Click Continue . · If means and standard deviations are needed, click on the Options box. Then click on Descriptive . For Repeated Measures (a.k.a. Correlated Groups, Paired Samples) ANOVA Analyze ‡ General Linear Model ‡ Repeated Measures · Type in the within-subject factor name in the Within-Subject Factor Name box. This cannot be the name of a pre-existing variable. You will have to make one up. · Type in the number of levels in the Number of levels box. How do you know how many levels there are? If my within-subject factor was “Tests” and I have a variable called “Test 1” a variable called “Test 2” and a variable called “Test 3,” then I would have 3 levels. In other words, the number of levels equals the number of variables (that you are examining) that correspond to the within￾subject factor. · Click on Define . · Put the variables you want to test into the Variables box. Preferably, put them in the right order (if there is an order to them). This will keep you from getting confused. For example, I should put in my “Test 1” variable in first, my “Test 2” variable in second, etc. · For post hoc tests, click on Options, highlight the variable, move it into Display Means For box, click on Compare Main Effects, change Confidence Interval Adjustment to Bonferonni (the closest we can get to Tukey’s Test). You may also want to click on Estimates of Effect Size for eta2 . · Remember to look at the Tests of Within-Subjects Effects box for your ANOVA results. Correlation Coefficient (r) Analyze ‡ Correlate ‡ Bivariate · Make sure that the Pearson box (and only the Pearson box) has a check in it. · Put the variables in the Variables box. Their order is not important