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5. In the “MISSING DATA” section of the textbook, read the subsection “Replacing Missing Values”, and read the example on page 33. (a). Use the instructions on page 33 to obtain the output displayed in Table 2.4.

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  1. 5. In the “MISSING DATA” section of the textbook, read the subsection “Replacing Missing Values”, and read the example on page 33. (a) Use the instructions on page 33 to obtain the output displayed in Table 2.4. Compare the syntax file commands generated by the output with those shown on page 34 of the textbook. Look at the discussion on page 34 concerning the Case Processing Summary (Table 2.4). (b) Follow the instructions on pages 35 and 36, and examine the modified data to see that the new variable has been created. Compare the syntax file commands generated by the output with those shown on page 36 of the textbook. Use the Analyze>Compare Means> Independent-Samples T Test options in SPSS to obtain the output displayed in Table 2.5. Look at the discussion on pages 36 and 37 concerning Table 2.5.

  2. (c) Follow the instructions on page 38 to replace missing values with the mean, and examine the modified data to see that the new variable with this replacement done has been created. Compare the syntax file commands generated by the output with those shown on page 39 of the textbook. Verify that the SPSS output displays a copy of Table 2.6 in the textbook. (d) Follow the instructions on pages 39 and 40 to obtain predicted values, and examine the modified data to see that the new variable has been created. Compare the syntax file commands generated by the output with those shown on page 41 of the textbook. Follow the instructions on page 41 to replace missing values with predicted values (by first sorting the data). Use the Analyze> Correlate> Bivariate options in SPSS to obtain the information displayed in Table 2.7. (e) Read the comments in the last paragraphs of the “MISSING DATA” section of the textbook.

  3. 6. In the “OUTLIERS” section of the textbook, read the subsection “Univariate Outlier Scores”. (a) With the SPSS data file Mental Health, use the Graphs>Legacy Dialogs> Boxplot options in SPSS to obtain the box plot displayed in Figure 2.1A. (b) With the SPSS data file Mental Health, use the Analyze>Descriptive Statistics> Explore options in SPSS to obtain the stem-and-leaf plot displayed in Figure 2.2. Note that the box plot obtained does not exactly match the one displayed in Figure 2.1A. 7. In the “OUTLIERS” section of the textbook, read the subsection “Multivariate Outlier Scores”. Then, with the SPSS data file Job Satisfaction, use the Graphs>Legacy Dialogs> Scatter/Dot options in SPSS to obtain the scatter plot displayed in Figure 2.3. 8. Open the SPSS data file Mental Health. In the “OUTLIERS” section of the textbook, follow the instructions in the subsection “Using SPSS to Identify Univariate Outliers” to obtain Tables 2.8A and 2.8B, and Figures 2.4, 2.5A, 2.5B, 2.5C, 2.5D, and 2.5E. Compare the syntax file commands generated by the output with those shown in the textbook.

  4. 9. Open the SPSS data file Mental Health. In the “OUTLIERS” section of the textbook, follow the instructions in the subsection “Using SPSS to Identify Multivariate Outliers”. 10. Open the SPSS data file Job Satisfaction. In the “NORMALITY AND DATA TRANSFORMATION” section of the textbook, read the subsections “Normality” and “Data Transformation”. Then, follow the instructions in the subsection “Practical Example” to obtain Tables 2.10, 2.11, and 2.12, and Figures 2.8, 2.9, 2.10. Compare the syntax file commands generated by the output with those shown in the textbook.

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