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Statistics Question

Statistics Question. Statistics Question.

Assignment: The Effect of WeightsMost CDC datasets include the following disclaimer:
“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 (30 Points)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 (40 points)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.

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Statistics Question

There are four questions and plz use SPSS for this work, With a suitable choice of variables you can review t-tests, multiple linear regression, chi-square, ANOVA, and logistic regression as appropriate.
Variables are sex, age, high school GPA, college SGPA, distance from home, dista?nce from work, hours spent watching TV, hours spent on sports and exercise, number of time a week newspaper read, number of people you know who died from AID or HIV, whether or not vegetarian, political party, political ideology., how often go to religious service, whether abortion should be legal < 3 months, whether support affirmative action
[supanova_question]

Statistics Question

Statistics Question Statistics Assignment Help Assignment: The Effect of WeightsMost CDC datasets include the following disclaimer:
“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 (30 Points)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 (40 points)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.

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anova questions

3 anova questions,anova repeated measures statistic.
1.
A researcher studying the effects of a treatment for snake phobia using several different research designs in different experiments.
–In study 1, she measures fear responses in participants before and after they have had exposure therapy.
–In study 2, she measures fear responses in participants before therapy, after therapy, and at a 6 month follow up.
–In study 3, she measures fear responses in three separate groups of participants – those who have had exposure treatment, those who have had drug treatment, and those who have had no treatment.
Group of answer choices1. Repeated Measures ANOVA, 2. Paired T Test, 3. One-Way ANOVA1. Paired T Test, 2. One-Way ANOVA, 3. Repeated Measures ANOVA
1. Paired T Test, 2. Repeated Measures ANOVA, 3. One-Way ANOVA
1. Repeated Measures ANOVA, 2. One-Way ANOVA, 3. Independent Samples T Test

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Statistics Question

Statistics Question