Question

Another researcher wanted to investigate the same research question addressed by the researcher in Question 1. She recruited 10 participants and had each participant study two lists of 20 names, one with Memory Method 1 (shallow processing) and a different list of 20 names one with Memory Method 2 (deep Processing). She counterbalanced the order of training methods so that half of her participant sample completed Method 1 first and the other half completed Method 2 first.

Assume that she obtained the same data as that obtained by the previous investigator, namely. Shallow Processing: 2, 4, 6, 7, 8, 8, 9, 9, 10, 11 Deep Processing: 6, 8, 10, 12, 13, 14, 16, 17, 17, 19

Required:

Conduct an appropriate statistical test using SPSS and a = .05. You must enter the data yourself.

Answer 1

To conduct an appropriate statistical test using SPSS for the given data, we can use a paired samples t-test to compare the means of the two conditions (shallow processing and deep processing).

Here's how you can enter and analyze the data in SPSS:

1. Open SPSS and create a new dataset.

2. Create two variables, one for shallow processing and another for deep processing.

3. Enter the data for each condition under the respective variables:

Shallow Processing: 2, 4, 6, 7, 8, 8, 9, 9, 10, 11

Deep Processing: 6, 8, 10, 12, 13, 14, 16, 17, 17, 19

4. Once the data is entered, go to "Analyze" in the top menu, then select "Compare Means" and "Paired Samples T-Test."

5. In the "Paired Samples T-Test" dialog box, select the shallow processing variable as the "Paired Variables" and the deep processing variable as the "Paired Variables."

6. Set the "Test Value" to 0 (assuming we want to test if there is a significant difference from zero).

7. Make sure the "Options" box is checked, and set the level of significance (alpha) to 0.05.

8. Click "OK" to run the analysis.

SPSS will perform the paired samples t-test and provide the results, including the t-value, degrees of freedom, p-value, and mean differences.

Interpreting the results, pay attention to the p-value. If the p-value is less than 0.05, it indicates that there is a statistically significant difference between the means of shallow processing and deep processing. If the p-value is greater than 0.05, there is no statistically significant difference between the means.

Note: Since you have provided only the data and not the mean differences, it is assumed that the mean differences are calculated separately before conducting the analysis.