Row Name Label Values Measure 1 mnemonic Mnemonic Technique 1 = Elaborative Rehearsal

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1 Retrieve and Open the Data 1. Retrieve the CSV formatted data from < 2. Open the CSV formatted data file in Excel. 3. In Excel, save the file as an Excel Workbook (File Save As Save as type Excel Workbook (*.xlsx)). 4. Close Excel. 5. Open SPSS. 6. In SPSS, open the Excel Data file (File Open Data Files of type Excel (*.xls, *.xlsx, *.xlsm)). 7. Click OK in the Opening Excel Data Source dialog box. Add Labels to Variables 8. In SPSS, click on the Variable View tab in the lower left, or View Variables, or ctrl-t 9. Type the following information into the appropriate rows and columns of the variable view: Row Name Label Values Measure 1 mnemonic Mnemonic Technique 1 = Elaborative Rehearsal nominal 2 = Mental Imagery 3 = Peg Method 2 pretest List 1 Recall scale 3 lenient List 2 Lenient Recall scale 4 strict List 2 Strict Recall scale To enter the values, click in the Values column of the desired row. Click on the ellipsis button that appears in the cell (circled in red below) Enter the numeric value and label and then click the Add button. Repeat until all the value labels for that variable have been entered. Click OK.

2 The variable view should look like this: 10. Switch to the data view by clicking on the Data View tab in the lower left corner or clicking View Data or ctrl-t or alt-v, A Analyze the Data 11. Determine the appropriate statistical test: The DVs are ratio scaled. The IV has three levels. Because each participant participated in one, and only one condition, this is an independent samples design. This would normally be an independent samples Analysis of Variance (ANOVA). However, we also want to statistically control for the person s overall memory ability. Thus, we will use Analysis of Covariance (ANCOVA). 12. Write the hypotheses: H 0 : μ Elaborative Rehearsal =μ Mental Imagery =μ Peg Method

3 H 1 : not H 0 Where μ is the mean number of words recalled in order after being adjusted for the person s overall ability to recall. We will also repeat the analysis where μ is the mean number of words recalled in any order after being adjusted for the person s overall ability to recall. 13. Do the ANCOVA: Analyze General Linear Model Univariate 14. Select the relevant DV (List 2 Strict Recall) and move it into the Dependent Variable box by clicking on the upper arrow button. 15. Select the IV (Mnemonic Technique) and move it into the Fixed Factor(s) box by clicking on the next arrow button. 16. Select the covariate (List 1 Recall) and move it into the Covariate(s) box by clicking on the arrow next to that box. 17. Click the Options button. Move the IV (mnemonic) to the Display Means for box by clicking on the arrow button. 18. Select Descriptive statistics, Estimates of effect size, and Observed power.

4 19. Click Continue 20. Click OK Interpret the Output 21. Remember that the data in this example are from a previous semester, so the values in the following output will not be the same as in your output. The Descriptive Statistics part of the output gives us the descriptive statistics of the scores before controlling for the covariate: Descriptive Statistics Dependent Variable:List 2 Strict Recall Mnemonic Technique Mean Std. Deviation N Elaborative Rehearsal Mental Imagery Peg Method Total The mean number of words recalled in the correct order in the elaborative rehearsal condition is 7.00 with a standard deviation of 3.21 words. The mean number of words recalled in the correct order in the mental imagery condition is 8.75 with a standard deviation of 5.75 words.

5 22. The next part of the output is the ANCOVA summary table. Dependent Variable:List 2 Strict Recall Tests of Between-Subjects Effects Type III Sum Mean Partial Eta Noncent. Observed Source of Squares df Square F Sig. Squared Parameter Power b Corrected Model a Intercept pretest mnemonic Error Total Corrected Total a. R Squared =.283 (Adjusted R Squared =.176) b. Computed using alpha = This output will allow us to test the null hypothesis stated in step 7 that the means (adjusted for the covariate) of the ordered recall are equal. Find the row with the independent variable and the column labeled Sig. The value at the intersection of that row and column is the p value. In this case, p =.078. If p α, we should reject H 0. In this case, p > α so we conclude that there is insufficient evidence to suggest that the type of mnemonic had an effect on ordered recall. 24. We would write the results as: The hypothesis states that the ordered recall with the peg method (M = 12.13) should be better than with the mental imagery mnemonic (M = 8.75) which should be better than with the elaborative rehearsal mnemonic (M = 7.00). An analysis of covariance with performance on list one as the covariate failed to reveal an effect of the type of mnemonic on ordered recall, F(2, 24) = 1.409, MS error = , η 2 =.123, p =.268, α =.05. This is not consistent with the hypothesis.

6 Graphing the Results 25. SPSS will not easily produce an APA quality graph. Download and open the template from the class website at < 26. Find the SPSS output labeled Estimated Marginal Means: Dependent Variable:List 2 Strict Recall Mnemonic Technique 95% Confidence Interval Mnemonic Technique Mean Std. Error Lower Bound Upper Bound Elaborative Rehearsal a Mental Imagery a Peg Method a a. Covariates appearing in the model are evaluated at the following values: List 1 Recall = Copy the three means from the table (e.g , 8.651, and ) and enter them in cells B2, B3 and B4 in the Excel worksheet. To copy the means from SPSS, double click on the table in SPSS, drag across the means, and copy (Ctrl-C). To paste the means in Excel, click in cell B2 and paste (Ctrl-V). 28. Copy the three lower bounds from the table (e.g , 5.006, and 7.974) and enter them in cells C2, C3 and C4 in the Excel worksheet. 29. Copy the three upper bounds from the table (e.g , , and ) and enter them in cells D2, D3 and D4 in the Excel worksheet.

7 30. You can copy and paste the graph from Excel into Word.

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