Objective: Investigate how individual and regional factors jointly influence participants' Income by employing multilevel modeling. Assumption: Assume that participants are nested within different Geographical Regions, and that there may be regional-level effects on Income. Tasks: 1. Data Preprocessing: . Load the statsnew.csv dataset. . Check for missing values and handle them appropriately. Convert categorical variables into suitable numerical formats. Explore the distribution of Income across different Geographical Region S. 2. Exploratory Data Analysis: Visualize the relationship between Income and key predictors (EducationLevel, EmploymentStatus, Age, HoursWorked, etc.). Examine intra-class correlation (ICC) to assess the necessity of a multilevel approach. 3. Model Building: • Specify a two-level hierarchical linear model with Income as the dependent variable. Level 1 (Individual Level): Predictors such as Age, EducationLevel, EmploymentStatus, HoursWorked, JobSatisfaction, etc. Level 2 (Regional Level): Predictors such as average AccessToHealthcare, regional School Funding, or other region-specific variables if available. Include random intercepts for Geographical Region to account for regional variability. 4. Model Diagnostics: • Assess model assumptions, including normality of residuals and homoscedasticity. Evaluate the significance of random effects using likelihood ratio tests. 5. Model Comparison: Compare the multilevel model with a standard linear regression model to determine the added value of the hierarchical approach. Use information criteria (AIC, BIC) and goodness-of-fit measures for comparison.
Objective: Investigate how individual and regional factors jointly influence participants' Income by employing multilevel modeling. Assumption: Assume that participants are nested within different Geographical Regions, and that there may be regional-level effects on Income. Tasks: 1. Data Preprocessing: . Load the statsnew.csv dataset. . Check for missing values and handle them appropriately. Convert categorical variables into suitable numerical formats. Explore the distribution of Income across different Geographical Region S. 2. Exploratory Data Analysis: Visualize the relationship between Income and key predictors (EducationLevel, EmploymentStatus, Age, HoursWorked, etc.). Examine intra-class correlation (ICC) to assess the necessity of a multilevel approach. 3. Model Building: • Specify a two-level hierarchical linear model with Income as the dependent variable. Level 1 (Individual Level): Predictors such as Age, EducationLevel, EmploymentStatus, HoursWorked, JobSatisfaction, etc. Level 2 (Regional Level): Predictors such as average AccessToHealthcare, regional School Funding, or other region-specific variables if available. Include random intercepts for Geographical Region to account for regional variability. 4. Model Diagnostics: • Assess model assumptions, including normality of residuals and homoscedasticity. Evaluate the significance of random effects using likelihood ratio tests. 5. Model Comparison: Compare the multilevel model with a standard linear regression model to determine the added value of the hierarchical approach. Use information criteria (AIC, BIC) and goodness-of-fit measures for comparison.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
Related questions
Question
100%
These question need to be solved using R with the given data, please do not provide AI solution , also i need detailed solution , do everything in detail which is required, answer it as soon as possible.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL
Glencoe Algebra 1, Student Edition, 9780079039897…
Algebra
ISBN:
9780079039897
Author:
Carter
Publisher:
McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu…
Algebra
ISBN:
9781680331141
Author:
HOUGHTON MIFFLIN HARCOURT
Publisher:
Houghton Mifflin Harcourt
Holt Mcdougal Larson Pre-algebra: Student Edition…
Algebra
ISBN:
9780547587776
Author:
HOLT MCDOUGAL
Publisher:
HOLT MCDOUGAL