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Most Popular Content
7 pages
20200728014515research Project 3
The purpose of this exercise is to learn how to create histograms and find descriptive The following table has been filled ...
20200728014515research Project 3
The purpose of this exercise is to learn how to create histograms and find descriptive The following table has been filled in with the height of each ...
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor ...
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor variables to make predictions as to the likelihood of occurrences of an outcome.
For this Assignment, you use multiple logistic regression to analyze a dataset. You identify assumptions required by multiple logistic regression and evaluate whether they have been met by the data. Finally, you interpret your results and evaluate the use of multiple logistic regression.
The Assignment
Use the Week 7 Dataset (SPSS document) from the Learning Resources area to complete this assignment.
Variables and variable selection (20 Points)
Use a table to list the variables, Sex, Age in Years, Serum Cholesterol, Obese, and Hypertension, and each of their levels of measurement. (10 Points)
Create new variables Age_Cat and Chole_Cat:
Age_Cat: Convert Age in Years into a categorical variable with 2 categories, Less than 40, 40 and greater
Chole_Cat: Convert Serum Cholesterol into 3 categories, Under 200, 200-299, and 300 and greater
Add the new variables to each record by coding the responses to the original variable using the assigned categories. Be sure that the variable view in SPSS has the correct information on the 2 new variables. (10 Points)
Simple Binary Logistic Regression (30 Points)
Use Hypertension as the dependent variable and Chole_Cat as the independent variable in the first model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
Use Hypertension as the dependent variable and Serum Cholesterol (the original variable) as the independent variable in the second model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
How does the level of measurement for the independent variable affect the outcome (include the OR and its significance in your response)? How does the level of measurement of the independent variable change your interpretation of the Odds Ratio? (10 Points)
Multivariate Logistic Regression (50 Points)
Run a multivariate binary logistic regression model using SPSS and Hypertension as the dependent variable, Chole_Cat, Age_Cat, Obese, and Sex as the Covariates. Include the output in your submission. (10 Points)
Identify the Odds Ratio and the significance of the Odds Ratio for each of the covariates. How has the relationship between Chole_Cat and Hypertension changed with the addition of the other variables (compare to the output from # 2a)? (15 Points)
Test the assumption that the model fits the data using the Hosmer-Lemeshow Goodness of Fit test. Interpret the Chi Square statistic given in the output of this test and state what it means in terms of the assumptions needed to use logistic regression with this data. (10 Points)
Rerun the logistic regression model from #3a and use the save function to create the following new variables: Predicted Probabilities, Deviance Residuals, and Cook’s Distance. Evaluate the model using these saved variables and the following Scatter Plots. (15 Points)
Create a Scatter Plot of the Deviance Residuals (DEV) and the variable ID: Are there any outliers? What does this mean when evaluating your model?
Create a Scatter Plot of Cook’s Distance (COO) and the variable ID: Are there any influential cases? What does this mean when evaluating your model?
Create a Scatter Plot of Deviance (DEV) and the Predicted Probabilities (PRE). Discuss whether anything in this scatterplot could cause you some concern in terms of your model.
26 pages
Deliverable 3
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Perform ...
Deliverable 3
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Performers, and Athletes Control ...
3 pages
Attachment 1 17
A study was conducted on 20 randomly chosen students at a large university. The heights (in inches) of all 20 students wer ...
Attachment 1 17
A study was conducted on 20 randomly chosen students at a large university. The heights (in inches) of all 20 students were recorded and they were ...
Polynomial Functions Unit Project
Alice was having a conversation with her friend Trina, who had a discovery to share:Pick any two integers. Look at the s ...
Polynomial Functions Unit Project
Alice was having a conversation with her friend Trina, who had a discovery to share:Pick any two integers. Look at the sum of their squares, the difference of their squares,
and twice the product of the two integers you chose. Those three numbers are the
sides of a right triangle.Write an equation that models this conjecture using the variables x and y.
GCU Statistics Whether Weight Differs by Sex Presentation
The Youth Risk Behavior Survey (YRBSS) is a national survey monitoring health behavior among youth and young adults. It is ...
GCU Statistics Whether Weight Differs by Sex Presentation
The Youth Risk Behavior Survey (YRBSS) is a national survey monitoring health behavior among youth and young adults. It is administered by the Centers for Disease Control and Prevention (CDC). For this assignment, use the "Youth Risk Behavior Surveillance System Dataset" provided to practice calculating and interpreting the t-test. Refer to the instructional videos in the topic resources and the Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences textbook as a guide.
Part 1
Refer to the topic resources to review the documentation, questionnaires, and general information pertaining to the YRBSS and YRBS. Then use the 2015 "Youth Risk Behavior Surveillance System Dataset" and conduct a two-sample t-test to determine if weight (in kg) differs by sex. Submit the SPSS output for the t-test.
Part 2
Create a PowerPoint presentation to discuss the findings for the t-test. For the presentation of your PowerPoint, use Loom to create a voice-over or a video. Refer to the topic resources for additional guidance on recording your presentation with Loom. Include an additional slide for the Loom link at the beginning and an additional slide for references at the end.
Include the following:
Identify which of three t-tests was selected and explain why this is the best statistical test and whether the assumptions were met.
What are the null and alternative hypotheses?
What is the decision rule?
What is the test statistic and p-value?
Interpretation of the t-test results (What was done? What was found? What does it mean? What suggestions are there for the creation of a health promotion intervention?).
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Most Popular Content
7 pages
20200728014515research Project 3
The purpose of this exercise is to learn how to create histograms and find descriptive The following table has been filled ...
20200728014515research Project 3
The purpose of this exercise is to learn how to create histograms and find descriptive The following table has been filled in with the height of each ...
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor ...
Multiple Logistic Regression in Action Report
Assignment: Multiple Logistic Regression in Action
Multiple logistic regression is a model that uses analysis of predictor variables to make predictions as to the likelihood of occurrences of an outcome.
For this Assignment, you use multiple logistic regression to analyze a dataset. You identify assumptions required by multiple logistic regression and evaluate whether they have been met by the data. Finally, you interpret your results and evaluate the use of multiple logistic regression.
The Assignment
Use the Week 7 Dataset (SPSS document) from the Learning Resources area to complete this assignment.
Variables and variable selection (20 Points)
Use a table to list the variables, Sex, Age in Years, Serum Cholesterol, Obese, and Hypertension, and each of their levels of measurement. (10 Points)
Create new variables Age_Cat and Chole_Cat:
Age_Cat: Convert Age in Years into a categorical variable with 2 categories, Less than 40, 40 and greater
Chole_Cat: Convert Serum Cholesterol into 3 categories, Under 200, 200-299, and 300 and greater
Add the new variables to each record by coding the responses to the original variable using the assigned categories. Be sure that the variable view in SPSS has the correct information on the 2 new variables. (10 Points)
Simple Binary Logistic Regression (30 Points)
Use Hypertension as the dependent variable and Chole_Cat as the independent variable in the first model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
Use Hypertension as the dependent variable and Serum Cholesterol (the original variable) as the independent variable in the second model. Report the Odds Ratio and significance of the Odds Ratio for the relationship between the dependent and independent variables. (10 Points)
How does the level of measurement for the independent variable affect the outcome (include the OR and its significance in your response)? How does the level of measurement of the independent variable change your interpretation of the Odds Ratio? (10 Points)
Multivariate Logistic Regression (50 Points)
Run a multivariate binary logistic regression model using SPSS and Hypertension as the dependent variable, Chole_Cat, Age_Cat, Obese, and Sex as the Covariates. Include the output in your submission. (10 Points)
Identify the Odds Ratio and the significance of the Odds Ratio for each of the covariates. How has the relationship between Chole_Cat and Hypertension changed with the addition of the other variables (compare to the output from # 2a)? (15 Points)
Test the assumption that the model fits the data using the Hosmer-Lemeshow Goodness of Fit test. Interpret the Chi Square statistic given in the output of this test and state what it means in terms of the assumptions needed to use logistic regression with this data. (10 Points)
Rerun the logistic regression model from #3a and use the save function to create the following new variables: Predicted Probabilities, Deviance Residuals, and Cook’s Distance. Evaluate the model using these saved variables and the following Scatter Plots. (15 Points)
Create a Scatter Plot of the Deviance Residuals (DEV) and the variable ID: Are there any outliers? What does this mean when evaluating your model?
Create a Scatter Plot of Cook’s Distance (COO) and the variable ID: Are there any influential cases? What does this mean when evaluating your model?
Create a Scatter Plot of Deviance (DEV) and the Predicted Probabilities (PRE). Discuss whether anything in this scatterplot could cause you some concern in terms of your model.
26 pages
Deliverable 3
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Perform ...
Deliverable 3
Adult Basic and Secondary Education and Literacy Teachers and Instructors Agents and Business Managers of Artists, Performers, and Athletes Control ...
3 pages
Attachment 1 17
A study was conducted on 20 randomly chosen students at a large university. The heights (in inches) of all 20 students wer ...
Attachment 1 17
A study was conducted on 20 randomly chosen students at a large university. The heights (in inches) of all 20 students were recorded and they were ...
Polynomial Functions Unit Project
Alice was having a conversation with her friend Trina, who had a discovery to share:Pick any two integers. Look at the s ...
Polynomial Functions Unit Project
Alice was having a conversation with her friend Trina, who had a discovery to share:Pick any two integers. Look at the sum of their squares, the difference of their squares,
and twice the product of the two integers you chose. Those three numbers are the
sides of a right triangle.Write an equation that models this conjecture using the variables x and y.
GCU Statistics Whether Weight Differs by Sex Presentation
The Youth Risk Behavior Survey (YRBSS) is a national survey monitoring health behavior among youth and young adults. It is ...
GCU Statistics Whether Weight Differs by Sex Presentation
The Youth Risk Behavior Survey (YRBSS) is a national survey monitoring health behavior among youth and young adults. It is administered by the Centers for Disease Control and Prevention (CDC). For this assignment, use the "Youth Risk Behavior Surveillance System Dataset" provided to practice calculating and interpreting the t-test. Refer to the instructional videos in the topic resources and the Using and Interpreting Statistics: A Practical Text for the Behavioral, Social, and Health Sciences textbook as a guide.
Part 1
Refer to the topic resources to review the documentation, questionnaires, and general information pertaining to the YRBSS and YRBS. Then use the 2015 "Youth Risk Behavior Surveillance System Dataset" and conduct a two-sample t-test to determine if weight (in kg) differs by sex. Submit the SPSS output for the t-test.
Part 2
Create a PowerPoint presentation to discuss the findings for the t-test. For the presentation of your PowerPoint, use Loom to create a voice-over or a video. Refer to the topic resources for additional guidance on recording your presentation with Loom. Include an additional slide for the Loom link at the beginning and an additional slide for references at the end.
Include the following:
Identify which of three t-tests was selected and explain why this is the best statistical test and whether the assumptions were met.
What are the null and alternative hypotheses?
What is the decision rule?
What is the test statistic and p-value?
Interpretation of the t-test results (What was done? What was found? What does it mean? What suggestions are there for the creation of a health promotion intervention?).
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