Application assignment

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Instructions are attached, its due today

PUBH 6033—Week 2 Assignment 1

Hands on SPSS!

(Rubric included)

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.

Submit this Application Assignment by Day 7.

———————————————————————————————————————

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

type answers below

Score (to be entered by instructor)


1. How many participants were female?

________________

____ / 1 point

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

________________

____ / 2 points

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

________________

____ / 2 points

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

________________

____ / 2 points

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

________________

____ / 2 points

For exercise types 1 and 2 combined:



6. What is the mean for AGE?

________________

____ / 2 points

7. What is the median for AGE?

________________

____ / 2 points

8. What is the standard deviation for AGE?

________________

____ / 2 points

9. What is the mean for CHANGE_ENDUR?

________________

____ / 2 points

10. What is the median for CHANGE_ ENDUR?

________________

____ / 2 points

11. What is the range for CHANGE_ ENDUR?

________________

____ / 2 points

12. What is the standard deviation for CHANGE_ ENDUR?

________________

____ / 2 points

For exercise type 1 (walking and strength training):



13. What is the mean for CHANGE_ ENDUR?

________________

____ / 2 points

14. What is the median for CHANGE_ ENDUR?

________________

____ / 2 points

15. What is the standard deviation for CHANGE_ ENDUR?

________________

____ / 2 points

For exercise type 2 (walking only):



16. What is the mean for CHANGE_ ENDUR?

________________

____ / 2 points

17. What is the median for CHANGE_ ENDUR?

________________

____ / 2 points

18. What is the standard deviation for CHANGE_ ENDUR?

________________

____ / 2 points

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:

Section below (scoring) is to be completed by Instructor

Scoring Rubric for Week 2 Assignment1—Hands on SPSS (60 points)

Timeliness



Fully Met



Partially Met/Good

Partially Met/Fair

Not Met

Timeliness Indicators

Posted by the deadline

Posted 1 day late

Posted 2–4 days late

Posted 5 or more days late

Grade impact

No impact

10% reduction in overall assignment score

20% reduction in overall assignment score

0 points

Questions



18 questions (worth 2 points each)

____ / 36 points possible

SPSS Output



Six SPSS outputs (4 points each for each of the following):

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:

____ / 24 points possible

Initial Score (60 possible points):

Timeliness Factor (late points deducted):

Total Score (60 possible points):

Instructor comments:

© 2014 Laureate Education, Inc.

Page 1 of 4

Sheet3

ID AGE SEX EXERCISE CHNG_ENDUR
1 53 1 2 5
2 62 1 2 2
3 34 1 1 6
4 38 1 1 5
5 39 1 1 4
6 27 1 2 5
7 18 1 1 7
8 19 1 1 4
9 49 1 2 5
10 60 1 1 3
11 22 1 2 7
12 54 1 1 5
13 55 2 2 3
14 38 1 2 8
15 62 2 1 6
16 41 1 1 5
17 63 2 2 3
18 41 1 1 4
19 29 2 2 4
20 33 1 1 5
21 26 2 2 8
22 22 1 2 3
23 43 2 1 6
24 29 2 1 3
25 48 2 2 4
26 29 2 2 3
27 43 1 1 4
28 37 2 2 5
29 25 2 1 6
30 42 1 2 3
31 43 2 1 5
32 39 2 2 3
33 45 1 1 4
34 31 1 2 2
35 57 2 2 3
36 27 2 1 3
37 49 2 1 8
38 35 2 2 2
39 27 2 1 5
40 50 1 2 3

W A L D E N U N I V E R S I T Y

P U B H 6 0 3 2 / 8 0 3 2

S P S S R E V E A L E D

P U B H 6 0 3 3 / 8 0 3 3

I N T E R P R E T A T I O N & A P P O F D A T A

Data Dictionary vs. Codebook

DATA DICTIONARY

 Is used to show dictionary information for the
current working file

 Is considered to be a simplified codebook

 Contains less information than the codebook

DATA DICTIONARY

 DICTIONARY INFORMATION :
 All information on variables

 Variable names

 Variable labels – what it represents or what it measures

 Measurement scale for variable- nominal, ordinal ,etc.

 Missing values
 How variable originally recorded/reported including if numbers or

strings, how many characters if a string variable or how many
decimals if numeric)

 For continuous or scale data variables: measurement units (inches,
feet, mL, lbs, etc.)

 For string or categorical variables: If coded with numbers (not letters),
what the numbers mean per representing the underlying categorical
variable like 1=male

DATA DICTIONARY STEPS

 Click on File > Display Data File Information
> Working File.

 The codebook will print to the Output Viewer
window.

 All information will be contained in a single
aggregate table

DATA DICTIONARY EXAMPLE

CODEBOOK

 Provides all information you need on a variable in a
single table

 Contains all the data dictionary information and
descriptive statistical information

 Combines Display for dictionary information, the
Frequency command for categorical variables, and
the Descriptives command for scale variables.

CODEBOOK

 CODEBOOK INFORMATION:

 All display dictionary information

 Descriptive statistical information

 Each variable is shown in a separate table

 Categorical variables will include counts and percentages

 Scale variables will include summary statistics

CODEBOOK STEPS

 Click on Analyze > Reports > Codebook.

 In Variables tab: Add the variables you want to include. If you

want to include all variables, click inside the Variables box, then
press Ctrl + A, and then click arrow button. Then click OK to run
and display your codebook.

 If you want to customize your codebook, which is optional, you can
click on the following tabs:
 Output tab: You can choose the variable and datafile properties want

 Variable display order: If you want to change the order of your variables in the
data file, you can change to make them alphabetical or by measurement level, etc..

 Statistics tab: You can choose the statistics you wan. If no changes are made,
the default setting includes, counts and percentages for nominal and ordinal
variables; and mean and standard deviation for scale variables.

 When finished, click OK.

CODEBOOK EXAMPLE

REFERENCES

 Horber, E. (2016). Codebook. Retrieved from
http://www.unige.ch/ses/sococ/cl///spss/cmd/codebook.ht
ml?

 Horber, E. (2016). Display dictionary. Retrieved from
http://www.unige.ch/ses/sococ/cl//spss/cmd/display.html

 Kent State University. (2014). Creating a Codebook – SPSS
Tutorials. Retrieved from
http://libguides.library.kent.edu/SPSS/Codebooks

 UCLA: Statistical Consulting Group. (2016). SPSS learning
module. Retrieved from
http://www.ats.ucla.edu/stat/spss/modules/labels.htm

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