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I need to learn how to correctly answer this questions for Extra credit
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Asked: May 26th, 2015
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This is a Statistic Final Project which need to collect data from YRBSS and analyze the graph and data. However, the topic I already chosen and also the data I have already collected which can make you do the assignment much easier.I will upload a important description of this assignment which is more specific than what I said above and also will post the data what I have already collected.Furthermore, this project consist of 2 part which is Data Production and 2 paragrah of data and graph analyze. PS: the document of description of the project looks like a outline, I have done little part, please check the description first. And also because there are too much stuff I need to upload because it can make the assignment more clear such as the graph and data collection excel, but here is a limitation for upload, so I can send it to a sharing google document, then you do not have to do this part again.
PUBH 8500 WU WK 10 Numeric Descriptive Statistics Census Region Analysis
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“The use of sampling weights and sample design variables is recommended for all analys ...
PUBH 8500 WU WK 10 Numeric Descriptive Statistics Census Region Analysis
Assignment: The Effect of Weights
“The use of sampling weights and sample design variables is recommended for all analyses because the sample design is a clustered design and incorporates differential probabilities of selection. If you fail to account for the sampling parameters, you may obtain biased estimates and overstate significance levels.”
In other words, samples selected for surveys may have imperfections in their representation of the reference population. Imperfections include the selection of sampling unit with unequal probability, non-coverage of the population, and non-responses to survey questions. Sampling weights would be used to compensate for these imperfections and produce valid and reliable results.
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The Assignment
Examine the Data (30 Points)
Open the Week 10 Dataset (SPSS document) located in the Learning Resources area.
Produce numeric descriptive statistics for the following variables:
Cregion
USR
Sex
Q1
Q6a
Q16
Q22a
Receduc
Race/Ethnicity
Logistic Regression
Use SPSS to run a logistic regression model with Q22a. “Have you ever looked online for -- Information about a specific disease or medical problem?” as your dependent variable (Note that there are 4 levels of responses possible, but only 2 are actually used in the responses so you can state the dependent variable is a binomial and use binary logistic regression) and Sex as the independent variable.
Use backwards stepwise regression to add Receduc to the model as a potential confounder.
How does the relationship between Q22a and Sex change with the addition of Receduc? Include a discussion of Odds Ratios and the Model Summary in your answer. Would you consider Receduc a confounder? Is it worth keeping it in the model even if it does not coufound the relationship between Q22a and Sex in this sample?
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Weight cases using the variable standwt (Standardized weight)
Use SPSS to rerun a logistic regression model with Q22a. “Have you ever looked online for -- Information about a specific disease or medical problem?” as your dependent variable, Sex as the independent variable, and Receduc as a covariate.
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Totally 3 Pages Final Project of the Date Analyze (Statistic)
This is a Statistic Final Project which need to collect data from YRBSS and analyze the graph and data. However, the topic ...
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This is a Statistic Final Project which need to collect data from YRBSS and analyze the graph and data. However, the topic I already chosen and also the data I have already collected which can make you do the assignment much easier.I will upload a important description of this assignment which is more specific than what I said above and also will post the data what I have already collected.Furthermore, this project consist of 2 part which is Data Production and 2 paragrah of data and graph analyze. PS: the document of description of the project looks like a outline, I have done little part, please check the description first. And also because there are too much stuff I need to upload because it can make the assignment more clear such as the graph and data collection excel, but here is a limitation for upload, so I can send it to a sharing google document, then you do not have to do this part again.
PUBH 8500 WU WK 10 Numeric Descriptive Statistics Census Region Analysis
Assignment: The Effect of Weights
“The use of sampling weights and sample design variables is recommended for all analys ...
PUBH 8500 WU WK 10 Numeric Descriptive Statistics Census Region Analysis
Assignment: The Effect of Weights
“The use of sampling weights and sample design variables is recommended for all analyses because the sample design is a clustered design and incorporates differential probabilities of selection. If you fail to account for the sampling parameters, you may obtain biased estimates and overstate significance levels.”
In other words, samples selected for surveys may have imperfections in their representation of the reference population. Imperfections include the selection of sampling unit with unequal probability, non-coverage of the population, and non-responses to survey questions. Sampling weights would be used to compensate for these imperfections and produce valid and reliable results.
For this Assignment, you analyze the relationship of two variables with logistic regression, using both weighted and unweighted data. You then compare the results to identify the effect of weighting on the interpretation of the relationship.
The Assignment
Examine the Data (30 Points)
Open the Week 10 Dataset (SPSS document) located in the Learning Resources area.
Produce numeric descriptive statistics for the following variables:
Cregion
USR
Sex
Q1
Q6a
Q16
Q22a
Receduc
Race/Ethnicity
Logistic Regression
Use SPSS to run a logistic regression model with Q22a. “Have you ever looked online for -- Information about a specific disease or medical problem?” as your dependent variable (Note that there are 4 levels of responses possible, but only 2 are actually used in the responses so you can state the dependent variable is a binomial and use binary logistic regression) and Sex as the independent variable.
Use backwards stepwise regression to add Receduc to the model as a potential confounder.
How does the relationship between Q22a and Sex change with the addition of Receduc? Include a discussion of Odds Ratios and the Model Summary in your answer. Would you consider Receduc a confounder? Is it worth keeping it in the model even if it does not coufound the relationship between Q22a and Sex in this sample?
Logistic Regression with weights
Weight cases using the variable standwt (Standardized weight)
Use SPSS to rerun a logistic regression model with Q22a. “Have you ever looked online for -- Information about a specific disease or medical problem?” as your dependent variable, Sex as the independent variable, and Receduc as a covariate.
How does weighting the cases change the outcome of the logistic regression?
Discuss why it is important to weight cases from surveys with complex sampling schemes using the differing outcomes you have from parts 2 and 3 of this assignment.
SPHS500 - Final Project personal obesity and household income
SPHS500 - Final Project
For this assignment, please include all of the required information below into a Word document and ...
SPHS500 - Final Project personal obesity and household income
SPHS500 - Final Project
For this assignment, please include all of the required information below into a Word document and upload the completed file as an attachment. Please do NOT paste your responses in the submission box.
For this project you will write an original research question on any topic in the Health Sciences and create a fictitious data set to analyze your data using Excel and answer your research question. Then, you will summarize your findings in a journal-style results section including any tables or statistical output you deem necessary to explain your findings.
At a minimum, include the following: research question, null and alternate hypotheses, independent and dependent variable, description of the statistical test used, your results from that test using your fictitious data and concluding statements relating back to your hypotheses. Do not simply include your statistical output. Instead, make sure you explain and interpret the statistical output.
If you have any questions, please send me a message. While there is no minimum page length, it will likely take >4 pages to cover all of this information adequately.
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In submitting the final project report evidence must be supplied indicating how each step of the project has been complete ...
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2 pages
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