Data Dictionary vs. Codebook

Assignment

Instructions

For this assignment, review this week's Learning Resources, and then create and analyze frequency distributions and summary statistics of data provided as a Microsoft Excel file. Import the data into SPSS. Then run frequency distribution graphs and tables and calculate summary statistics in SPSS as instructed below.

Note: It is recommended that you save the SPSS data file, as you will use the same file for a Week 7 Application Assignment. Type your answers to all questions and paste all required output directly into the worksheet at the end of this document.

Research Scenario

A study was conducted to determine if a walking plus strength training exercise program results in a significantly greater increase in aerobic capacity as compared to a walking only exercise program. Participants are randomly selected and then randomly assigned to one of the exercise groups. Participants' aerobic endurance was assessed at the beginning of the study and, again, after 6-months of exercise.

Coding for study variables:

• AGE-age in years

• SEX-1 =male, 2=female

• EXERCISE-1= walking and strength training; 2 = walking;

• CHNG_ENDUR-change in maximal oxygen uptake (liters per minute) from pre-test to post-test

Note: Save all of your SPSS output. You will paste copies of in Step 11.

Step 1: Review this week's Learning Resources.

Step 2: Import the Microsoft Excel data file provided in this week's learning resources into SPSS.

Step 3: Run and save the Codebook for your SPSS data file.

Step 4: Create an ungrouped frequency distribution table for each of the following:

AGE, SEX, EXERCISE, and CHNG_ENDUR.

Step 5: Run descriptive/summary statistics (mean, median, mode, standard deviation, and range) for both exercise types combined for

AGE and CHNG_ENDUR.

Step 6: SPLIT the data file by exercise type (EXERCISE).

Step 7: Create a line graph that illustrates CHNG_ENDUR for each exercise type separately.

Step 8: Create pie charts for SEX for each exercise type group.

Step 9: Run descriptive/summary statistics (mean, median, mode, standard deviation, and range) for each exercise type separately for AGE and CHNG_ENDUR.

Step 10: Review all of your SPSS output and answer each of the following questions:

QUESTION

1. How many participants were female?

2. How many participants were aged 40-49 years?

3. What percent of participants were 39 years old or younger?

4. How many participants had 5 liter/min. increase in their maximal oxygen uptake?

5. How many participants had >7 liter/min. increase in their maximal oxygen uptake?

For exercise types 1 and 2 combined:

1. What is the mean for AGE?

2. What is the median for AGE?

3. What is the standard deviation for AGE?

4. What is the mean for CHANGE_ENDUR?

5. What is the median for CHANGE_ ENDUR?

6. What is the range for CHANGE_ ENDUR?

7. What is the standard deviation for CHANGE_ ENDUR?

For exercise type 1 (walking and strength training):

1. What is the mean for CHANGE_ ENDUR?

2. What is the median for CHANGE_ ENDUR?

3. What is the standard deviation for CHANGE_ ENDUR?

For exercise type 2 (walking only):

1. What is the mean for CHANGE_ ENDUR?

2. What is the median for CHANGE_ ENDUR?

3. What is the standard deviation for CHANGE_ ENDUR?

Step 11: Paste all required output below.

A. Output-SPSS Codebook

B. Output-all ungrouped frequency distribution tables:

C. Output-descriptive/summary statistics for both exercise groups combined:

D. Output-line graphs for CHNG_ENDUR for each exercise group separately:

E. Output-pie charts for SEX for each exercise group separately:

F. Output-descriptive/summary statistics for each exercise group separately: