Executive Solution Overview
Follow and read all attached documents **files (6)** – ## EDCO745Blog.docx – ## Videos.docx – ## RegressionDataScreeningOutputAssignmentInstructions.docx – ## RegressionData-ScreeningOutputGradingRubric.pdf – READ-RegressionData-ScreeningOutput.pdf – Read-WarnerIIChapter9.pdf **## EDCO745Blog.docx**…
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Follow and read all attached documents
**files (6)**
– ## EDCO745Blog.docx
– ## Videos.docx
– ## RegressionDataScreeningOutputAssignmentInstructions.docx
– ## RegressionData-ScreeningOutputGradingRubric.pdf
– READ-RegressionData-ScreeningOutput.pdf
– Read-WarnerIIChapter9.pdf
**## EDCO745Blog.docx**
You can find my blog
[https://alexcasteel.com/courses/edco-745/](https://alexcasteel.com/courses/edco-745/) I encourage you to bookmark the address.
**## Videos.docx**
**Videos**
[https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206](https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206)
**## RegressionDataScreeningOutputAssignmentInstructions.docx**
EDCO 745
**Regression Data Screening Output Assignment Instructions**
**Overview**
Data screening is fundamental prior to any analysis. The basics of data screening are outlined in your Warner text. This is the third time you will do data screening.
**Instructions**
1. Using data based upon the topic, instruments, and variables selected in your models you have developed in Modules 5 and 6, turn in your data screening output for regression analysis.
_Note: You only have to turn in output for data screening of the variables you use in your analysis._
**Output should include:**
• Variable Selections
• Frequencies
• Crosstabs (if necessary)
• Boxplots (if necessary)
• Scatterplot
Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.
**## RegressionData-ScreeningOutputGradingRubric.pdf**
Criteria Ratings Points
Output 35 to >24 pts
Advanced
Submitted
regression data
screening output
includes all
appropriate data.
24 to >16 pts
Proficient
Most components in
the submitted
regression data
screening output are
included
16 to >9 pts
Developing
Some components
in the regression
data screening
output are included.
9 to >0 pts
Below
Expectations
Few components
in the regression
data screening
output are
included. Includes
very few of the
appropriate data
screening output.
0 pts
Not
Present
35 pts
Grammar 15 to >11 pts
Advanced
The regression data
screening output
reflects a graduate
level voice and
vocabulary. There
are very few spelling
and grammar errors.
All sources are
referenced in the
screening output.
11 to >7 pts
Proficient
The regression data
screening output
consistently reflects
a graduate level
voice and
vocabulary. There
are few spelling and
grammar errors.
Most sources are
referenced in the
output.
7 to >4 pts
Developing
The regression data
screening output
inconsistently
reflects a graduate
level voice and
vocabulary. There
are spelling and
grammar errors. Not
all sources are
referenced in the
output.
4 to >0 pts
Below
Expectations
The regression
data screening
output does not
reflect a graduate
level voice and
vocabulary. There
are spelling and
grammar errors.
Sources are not
referenced in the
output.
0 pts
No
Marks
15 pts
Total Points: 50
Regression Data: Screening Output Grading Rubric |
EDCO745_D02_202620
**READ-RegressionData-ScreeningOutput.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-regressiondata-screeningoutput-pdf)
**Read-WarnerIIChapter9.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)
**Read-WarnerIIChapter9.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)
**## EDCO745Blog.docx**
You can find my blog
[https://alexcasteel.com/courses/edco-745/](https://alexcasteel.com/courses/edco-745/) I encourage you to bookmark the address.
**## Videos.docx**
**Videos**
[https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206](https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206)
**## RegressionDataScreeningOutputAssignmentInstructions.docx**
EDCO 745
**Regression Data Screening Output Assignment Instructions**
**Overview**
Data screening is fundamental prior to any analysis. The basics of data screening are outlined in your Warner text. This is the third time you will do data screening.
**Instructions**
1. Using data based upon the topic, instruments, and variables selected in your models you have developed in Modules 5 and 6, turn in your data screening output for regression analysis.
_Note: You only have to turn in output for data screening of the variables you use in your analysis._
**Output should include:**
• Variable Selections
• Frequencies
• Crosstabs (if necessary)
• Boxplots (if necessary)
• Scatterplot
Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.
**## RegressionData-ScreeningOutputGradingRubric.pdf**
Criteria Ratings Points
Output 35 to >24 pts
Advanced
Submitted
regression data
screening output
includes all
appropriate data.
24 to >16 pts
Proficient
Most components in
the submitted
regression data
screening output are
included
16 to >9 pts
Developing
Some components
in the regression
data screening
output are included.
9 to >0 pts
Below
Expectations
Few components
in the regression
data screening
output are
included. Includes
very few of the
appropriate data
screening output.
0 pts
Not
Present
35 pts
Grammar 15 to >11 pts
Advanced
The regression data
screening output
reflects a graduate
level voice and
vocabulary. There
are very few spelling
and grammar errors.
All sources are
referenced in the
screening output.
11 to >7 pts
Proficient
The regression data
screening output
consistently reflects
a graduate level
voice and
vocabulary. There
are few spelling and
grammar errors.
Most sources are
referenced in the
output.
7 to >4 pts
Developing
The regression data
screening output
inconsistently
reflects a graduate
level voice and
vocabulary. There
are spelling and
grammar errors. Not
all sources are
referenced in the
output.
4 to >0 pts
Below
Expectations
The regression
data screening
output does not
reflect a graduate
level voice and
vocabulary. There
are spelling and
grammar errors.
Sources are not
referenced in the
output.
0 pts
No
Marks
15 pts
Total Points: 50
Regression Data: Screening Output Grading Rubric |
EDCO745_D02_202620
**READ-RegressionData-ScreeningOutput.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-regressiondata-screeningoutput-pdf)
**Read-WarnerIIChapter9.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)
**## EDCO745Blog.docx**
You can find my blog
[https://alexcasteel.com/courses/edco-745/](https://alexcasteel.com/courses/edco-745/) I encourage you to bookmark the address.
**## Videos.docx**
**Videos**
[https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206](https://canvas.liberty.edu/courses/919376/pages/watch-regression-data-screening?module_item_id=102075206)
**## RegressionDataScreeningOutputAssignmentInstructions.docx**
EDCO 745
**Regression Data Screening Output Assignment Instructions**
**Overview**
Data screening is fundamental prior to any analysis. The basics of data screening are outlined in your Warner text. This is the third time you will do data screening.
**Instructions**
1. Using data based upon the topic, instruments, and variables selected in your models you have developed in Modules 5 and 6, turn in your data screening output for regression analysis.
_Note: You only have to turn in output for data screening of the variables you use in your analysis._
**Output should include:**
• Variable Selections
• Frequencies
• Crosstabs (if necessary)
• Boxplots (if necessary)
• Scatterplot
Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.
**## RegressionData-ScreeningOutputGradingRubric.pdf**
Criteria Ratings Points
Output 35 to >24 pts
Advanced
Submitted
regression data
screening output
includes all
appropriate data.
24 to >16 pts
Proficient
Most components in
the submitted
regression data
screening output are
included
16 to >9 pts
Developing
Some components
in the regression
data screening
output are included.
9 to >0 pts
Below
Expectations
Few components
in the regression
data screening
output are
included. Includes
very few of the
appropriate data
screening output.
0 pts
Not
Present
35 pts
Grammar 15 to >11 pts
Advanced
The regression data
screening output
reflects a graduate
level voice and
vocabulary. There
are very few spelling
and grammar errors.
All sources are
referenced in the
screening output.
11 to >7 pts
Proficient
The regression data
screening output
consistently reflects
a graduate level
voice and
vocabulary. There
are few spelling and
grammar errors.
Most sources are
referenced in the
output.
7 to >4 pts
Developing
The regression data
screening output
inconsistently
reflects a graduate
level voice and
vocabulary. There
are spelling and
grammar errors. Not
all sources are
referenced in the
output.
4 to >0 pts
Below
Expectations
The regression
data screening
output does not
reflect a graduate
level voice and
vocabulary. There
are spelling and
grammar errors.
Sources are not
referenced in the
output.
0 pts
No
Marks
15 pts
Total Points: 50
Regression Data: Screening Output Grading Rubric |
EDCO745_D02_202620
**READ-RegressionData-ScreeningOutput.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-regressiondata-screeningoutput-pdf)
**Read-WarnerIIChapter9.pdf**
This file is too large to display. [View in new window](https://www.sweetstudy.com/files/read-warneriichapter9-pdf-10540281)
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