IMPORTANT NOTE REGARDING WORD LIMIT REQUIREMENTS:
Please note that each and every assignment has its own word limit.
The purpose of this assignment is to practice organizing data through ordering and grouping variables.
often appear disordered and it is difficult to see any connections or relationships. Ordering the data by certain variables or grouping variables into specific categories, such as age or sex categories, can help bring clarity to the data. Knowing how to organize data is an important skill to initiate the analytical process.
For this assignment, students will use Excel and SPSS
s
to order variables. Using the “Example Dataset,” complete the steps below using both Excel and SPSS Statistics. View the Excel and SPSS tutorials for assistance in completing this assignment. Submit one Word document and include a screen shot of the data after completing the first two steps of Part 1 in Excel and SPSS to compare your results. Use a second Word document to complete Part 2 of the assignment.
Part 1: Ordering and Grouping Data Using Excel and SPSS
For Part 1, accomplish the following:
- Order (sort) observations according to age.
- Group observations by sex and investigate the age and income for males and females.
- Create a new variable titled “Exercise Group” based on the variable “Minutes Exercise.” Use the following categories to create your groups: 1 = 0-30 minutes; 2 = 31-60 minutes; 3 = 61-90 minutes; 4 = 91-120 minutes; and 5 = 120+ minutes.
Part 2: Data Interpretation
Study the results of the dataset grouping and ordering. Discuss the following in a 500-750 word summary:
- Describe the measurement levels for each of the variables in the dataset.
- Discuss what you learned from ordering the data by age and why this information is important.
- Describe the process you used to group the data in Excel and SPSS.
- Describe what you learned by grouping the variables by category of exercise.
- Are these data from a correlational study, experimental study, or quasi-experimental (observational) study? Discuss your rationale and identify a study question appropriate for this dataset.
General Requirements
You are required to cite at least FIVE sources to complete this assignment. Sources must be published within the last 5 years and appropriate for the discussion question criteria and public health content.
Submit the Word document to the instructor.
Prepare this assignment according to the guidelines found in the APA Style Guide. An abstract is not required.
While APA style is required, solid academic writing is expected as well, and documentation of sources should be presented using APA formatting guidelines.
This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
PLEASE make sure APA citation and permalink for articles are complete and correct.
PLEASE add the links/sites below to the reference list if you use any of these readings and make sure everything is in proper APA format.
https://apastyle.apa.org/learn/quick-guide-on-refe…
Read Chapters 1-3 in Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences.
URL:
http://www.gcumedia.com/digital-resources/macmillan-learning/2016/using-and-interpreting-statistics_a-practical-text-for-the-behavioral-social-and-health-sciences_ebook_3e.php
For assistance with using Excel software, use the “Excel Training: Add and Format Tables” video library located on the Microsoft website.
URL:
https://support.office.com/en-us/article/Video-Create-and-format-tables-bf0ce08b-d012-42ec-8ecf-a2259c9faf3f?ui=en-US&rs=en-US&ad=US
For assistance with using Excel software, use the “Excel Training: Add and Format Charts” video library located on the Microsoft website.
URL:
https://support.office.com/en-us/article/Video-Create-charts-231c42d2-5e58-40e1-99f0-cbe618cfee1d?ui=en-US&rs=en-US&ad=US
For assistance with using Excel software, use the “Excel Training: Excel for Mac Tips” video library located on the Microsoft website.
URL:
https://support.office.com/en-us/article/Video-Create-charts-on-a-Mac-0fbd860f-7dde-49b3-937a-ab9ac0aa7e31?ui=en-US&rs=en-US&ad=US
View “The Human Insights Missing From Big Data,” by Wang (2016), located on the TED website
URL:
View “Data Entry” from the SPSS Tutorials media.
URL:
http://lc.gcumedia.com/psy380/spss-tutorials/v1.1/
View the following terms in The Visual Learner: Statistics media.
-
Statistics
- Continuous Data
- Discrete Data
- Interval Level
- Ordinal Data
- Nominal Data
- Population
- Sample
- Parameter
Data
Statistic
URL:
http://lc.gcumedia.com/hlt362v/the-visual-learner/the-visual-learner-v2.1.html
For assistance with using the IBM SPSS software, use the IBM SPSS Statistics Base 24, located on the IBM website.
URL:
ftp://public.dhe.ibm.com/software/analytics/spss/documentation/statistics/24.0/en/client/Manuals/IBM_SPSS_Statistics_Base
Read “Integrating Quantitative and Qualitative Data in Mixed Methods Research – Challenges and Benefits,” by Almalki, from Journal of Education and Learning (2016).
URL:
http://files.eric.ed.gov/fulltext/EJ1110464
Read “Pathways to Malaria Persistence in Remote Central Vietnam: A Mixed Method Study of Health Care and the Community,” by Morrow, Nguyen, Curuana, Biggs, Doan, and Nong, from BMC Public Health (2009).
URL:
https://bmcpublichealth.biomedcentral.com/articles/10.1186/1471-2458-9-85
Read “10 Best Resources on…Mixed Methods Research in Health Systems,” by Ozawa and Pongpirul, from Health Policy Plan (2014).
URL:
https://academic.oup.com/heapol/article/29/3/323/581455/10-best-resources-on-mixed-methods-research-in
Read “A General Inductive Approach for Analyzing Qualitative Evaluation Data,” by Thomas, from American Journal of Evaluation (2006).
URL:
http://journals.sagepub.com/doi/pdf/10.1177/1098214005283748
Read “Guidance for Using Mixed Methods Design in Nursing Practice Research,” by Chiang-Hanisko, Newman, Dyess, Duangporn, and Liehr, from Applied Nursing Research (2016).
URL:
http://www.sciencedirect.com.lopes.idm.oclc.org/science/article/pii/S0897189715002402
Read “Mapping the Developing Landscape of Mixed Methods Research,” by Creswell, from SAGE Handbook of Mixed Methods in Social and Behavioral Research (2010).
URL:
http://methods.sagepub.com.lopes.idm.oclc.org/book/sage-handbook-of-mixed-methods-social-behavioral-research-2e/n2.xml
Microsoft Excel and SPSS Statistics will be used to complete some of the case study assignments for this course. To access these programs, you must first install Citrix on your computer.
To install Citrix, follow the procedure provided in the “Citrix Receiver Instructions.”
After Citrix has been installed on your computer, you may access Microsoft Excel and SPSS Statistics at
https://myapps.gcu.edu
. Select the specific software from the menu to gain access to it.
Use the “Example Dataset” to complete the topic assignment.
MUST 2000-2250 WORDS,have at least 6 citations with the page numbers and 6 references in APA format.(The List of References should not be older than 2016 and should not be included in the word count.)
Be sure to support your postings and responses with specific references to the Learning Resources.
It is important that you cover all the topics identified in the assignment. Covering the topic does not mean mentioning the topic BUT presenting an explanation from the context of ethics and the readings for this class
To get maximum points you need to follow the requirements listed for this assignments 1) look at the word/page limits 2) review and follow APA rules 3) create subheadings to identify the key sections you are presenting and 4) Free from typographical and sentence construction errors.
REMEMBER IN APA FORMAT JOURNAL TITLES AND VOLUME NUMBERS ARE ITALICIZED.
Rubic_Print_Format
Course Code | Class Code | Assignment Title | Total Points | ||||||||
PUB-550 | PUB-550-O500 | Data Management | 40.0 | ||||||||
Criteria | Percentage | Unsatisfactory (0.00%) | Less than Satisfactory (74.00%) | Satisfactory (79.00%) | Good (87.00%) | Excellent (100.00%) | Comments | Points Earned | |||
Content | 100.0% | ||||||||||
Part 1 – Excel and SPSS Screenshots | 20.0% | Screenshots illustrating the use of Excel and SPSS to order and group variables are not included. | Screenshots illustrating the use of Excel and SPSS to order and group variables are incomplete or incorrect. | Screenshots illustrating the use of Excel and SPSS to order and group variables are partially complete and correct. | Screenshots illustrating the use of Excel and SPSS to order and group variables are mostly complete and correct. | Screenshots illustrating the use of Excel and SPSS to order and group variables are complete and correct. | |||||
Part 2 – Measurement Levels | 1 | 5.0% | Description of the measurement levels for each of the variables in the dataset is not included. | Description of the measurement levels for each of the variables in the dataset is incomplete or incorrect. | Description of the measurement levels for each of the variables in the dataset is included but lacks explanation and relevant details. | Description of the measurement levels for each of the variables in the dataset is complete and includes explanation and relevant details. | Description of the measurement levels for each of the variables in the dataset is extremely thorough with substantial explanation and relevant details. | ||||
Part 2 – Ordering the Data | Discussion of what was learned from ordering the data by age and why this information is important is not included. | Discussion of what was learned from ordering the data by age and why this information is important is incomplete or incorrect. | Discussion of what was learned from ordering the data by age and why this information is important is included but lacks explanation and relevant details. | Discussion of what was learned from ordering the data by age and why this information is important is complete and includes explanation and relevant details. | Discussion of what was learned from ordering the data by age and why this information is important is extremely thorough with substantial explanation and relevant details. | ||||||
Part 2 – Process Used for Grouping Data | Description of the process used to group the data in Excel and SPSS is not included. | Description of the process used to group the data in Excel and SPSS is incomplete or incorrect. | Description of the process used to group the data in Excel and SPSS is included but lacks explanation and relevant details. | Description of the process used to group the data in Excel and SPSS is complete and includes explanation and relevant details. | Description of the process used to group the data in Excel and SPSS is extremely thorough with substantial explanation and relevant details. | ||||||
Part 2 – Grouping Variables by Category | Description of what was learned from grouping variables by the category of exercise is not included. | Description of what was learned from grouping variables by the category of exercise is incomplete or incorrect. | Description of what was learned from grouping variables by the category of exercise is included but lacks explanation and relevant details. | Description of what was learned from grouping variables by the category of exercise is complete and includes explanation and relevant details. | Description of what was learned from grouping variables by the category of exercise is extremely thorough with substantial explanation and relevant details. | ||||||
Part 2 – Study Discussion | Discussion of whether study is correlational, experimental, or quasi-experimental; the rationale for the study type; and identification of a study question appropriate for the dataset is not included. | Discussion of whether study is correlational, experimental, or quasi-experimental; the rationale for the study type; and identification of a study question appropriate for the dataset is incomplete or incorrect. | Discussion of whether study is correlational, experimental, or quasi-experimental; the rationale for the study type; and identification of a study question appropriate for the dataset is included but lacks explanation and justification. | Discussion of whether study is correlational, experimental, or quasi-experimental; the rationale for the study type; and identification of a study question appropriate for the dataset is complete and includes explanation and justification. | Discussion of whether study is correlational, experimental, or quasi-experimental; the rationale for the study type; and identification of a study question appropriate for the dataset is extremely thorough and includes substantial explanation and justification. | ||||||
Mechanics of Writing (includes spelling, punctuation, grammar, language use) | Surface errors are pervasive enough that they impede communication of meaning. Inappropriate word choice or sentence construction is used. | Frequent and repetitive mechanical errors distract the reader. Inconsistencies in language choice (register) or word choice are present. Sentence structure is correct but not varied. | Some mechanical errors or typos are present, but they are not overly distracting to the reader. Correct and varied sentence structure and audience-appropriate language are employed. | Prose is largely free of mechanical errors, although a few may be present. The writer uses a variety of effective sentence structures and figures of speech. | Writer is clearly in command of standard, written, academic English. | ||||||
Total Weightage | 100% |
> ackground
local community organization was interested in learning about general health behaviors in the area and the relationships between health behaviors and environmental and social determinants. They decided to conduct a brief survey based on a convenient sample of people visiting the local shopping mall. They offered a $5 incentive for completing the survey. The Topic Example dataset includes observations from this survey. Use this data to complete the relevant assignments in this course.
ollege
ollars
2 0
B No 2 No 00
C Female Yes 3 Yes B Male No 1 No C Female Yes 1 50 30 Yes 00
B Female Yes 2 No 5000 C Female No 3 Yes 00
A Male Yes 1 50 Yes 000
B Female Yes 2 Yes 51000 C No 00
A Female No 3 120 Yes A Male No 1 80 50 Yes D Female Yes 1 60 20 No 00
B Male No 3 150 Yes B Male No 2 Yes 28000 A Male No 1 80 No B Female No 2 110 36 Yes D Male Yes 3 80 35 Yes 0
B Male Yes 2 100 No 000
D 00
C Female Yes 2 50 No B Female No 3 200 42 Yes D Male No 2 60 No 5000 A Male No 1 65 No D Female No 1 40 21 No C Male Yes 3 65 Yes A Female Yes 3 70 40 Yes A Female No 1 45 No B Male No 3 75 Yes 64000 C Male Yes 3 50 42 Yes B
2
B
A
1
3
0
Education Level
1
Less than High School
2
Graduated High School
3
Graduated
C
Annual Income = US
D
Original
ID
Sex
Smoker
Education_Level***
Minutes_Exercise
Age
Employed
Annual_Income*
Neighborhood
101
Female
No
90
45
Yes
5
100
102
Male
50
58
2
30
103
65
31
3
5000
104
20
54
10000
105
2
80
106
25
18
107
110
39
4
60
108
37
36
109
40
44
110 Male No 2 80
24
120
111
42
78000
112
34000
113
150
114
35
28000
115
75
61
116
59
24000
117
55000
118
6
200
119
29
32
120 Female No 1 0 32 No
70
1
21
26
17000
122
64000
123
52
124
49
14000
125
20000
126
48
72000
127
85000
128
53
15000
129
46
130
27000