SPSS assignment
SPSS Assignment 4 -1- EDUC 7/6030, McConnell EDUC 7/6030: SPSS Assignment 4 Objectives: The student will learn how to: 1. conduct an independent-samples t-test with SPSS; 2. compute an effect size estimate for the analysis; and 3. report results in APA format. Getting Started a. Go to the course content on D2L and find “SPSS Assignment 4 dataset.sav”. b. Save the file to your desktop by right clicking on your mouse, and select either “Save to Desktop” or “Save Target As”. c. After saving this file on desktop, double click on the SPSS icon from the Programs to open the program. d. Open the data file from the File menu within the SPSS environment. You should see the data in the SPSS Data Editor window. e. You have data from 30 U of M students and you want to know if the mean SAT of business majors differs significantly from the mean of SAT of science majors. In this case, however, you know neither population mean nor standard deviation. Thus, you must conduct an independent samples t-test. f. To run the independent-samples t-test, go to “Analyze”, scroll down to “Compare Means” and click on “Independent-Samples T test” 1. For your dependent variable (i.e., test variable) select “SAT_Total” by clicking on it and then clicking on the blue arrow. 2. Move “Declared Major” into the “Grouping Variable,” and then click on “Define Groups” 3. For “Group 1” enter business, for “Group 2” enter science. Click on “Continue.” 4. Press OK to run the analysis. Questions 1. In the “Independent-Samples Test” table, does the Levene’s test suggest that the variances of the two samples are similar? What information did you use to decide? 2. Keeping in mind your answer in (a) above, what is the p-value (significance value) for the t-test? What does the p-value mean? In other words, give the conceptual interpretation of the p-value by referring to probability. SPSS Assignment 4 -2- EDUC 7/6030, McConnell 3. Show how the t statistic was computed by using the values found in the “Mean Difference” and “Std. Error Difference” columns. 4. If you were doing this analysis by hand, what would be the critical values of t? (Determine the values using Table C.3). 5. Draw a t-distribution showing the critical values, your t-statistic, and shade the areas that represent the regions of rejection. What do you conclude about the null hypothesis? 6. Using the degrees of freedom presented in the “Independent Samples Test” table, compute the 95% Confidence Interval for the Difference and express it in plain language. Is it similar to the one computed by SPSS? 7. Compute r2. How large of an effect is it? 8. Give the conceptual interpretation of r2. In other words, express it in terms of variance. 9. In a short (no longer than 2 page paper), communicate your results using APA7-format. Please be sure to address assumptions and include any necessary table(s). The following probability statement must be included: “An independent samples t-test showed that the difference in SAT scores between the _____________ (N = 4, M = 6.08, SD = 0.81) and ____________ (N = 4, M = 8.09, SD = .81) was statistically significant, t(6) = -3.14, p = .013, r2 = .44.” N.B. Print your entire SPSS output by selecting the print icon on the menu bar. Attach it to this assignment when you hand it in.