Applied Survey Data Analysis

ISBN-10: 1420080660

ISBN-13: 9781420080667

Edition: 2010

List price: $99.95 Buy it from $47.92
eBook available
This item qualifies for FREE shipping

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Learn more about our returns policy

Description:

New Starting from $108.10
eBooks Starting from $39.98
Rent eBooks
Buy eBooks
what's this?
Rush Rewards U
Members Receive:
coins
coins
You have reached 400 XP and carrot coins. That is the daily max!

Study Briefs

Limited time offer: Get the first one free! (?)

All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.

Customers also bought

Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading

Book details

List price: $99.95
Copyright year: 2010
Publisher: CRC Press LLC
Publication date: 4/5/2010
Binding: Hardcover
Pages: 487
Size: 6.25" wide x 9.25" long x 1.00" tall
Weight: 2.002
Language: English

Applied Survey Data Analysis: Overview
Introduction
A Brief History of Applied Survey Data Analysis
Example Data Sets and Exercises
Getting to Know the Complex Sample Design
Introduction
Classification of Sample Designs
Target Populations and Survey Populations
Simple Random Sampling: A Simple Model for Design-Based Inference
Complex Sample Design Effects
Complex Samples: Clustering and Stratification
Weighting in Analysis of Survey Data
Multistage Area Probability Sample Designs
Special Types of Sampling Plans Encountered in Surveys
Foundations and Techniques for Design-Based Estimation and Inference
Introduction
Finite Populations and Superpopulation Models
Confidence Intervals for Population Parameters
Weighted Estimation of Population Parameters
Probability Distributions and Design-Based Inference
Variance Estimation
Hypothesis Testing in Survey Data Analysis
Total Survey Error and Its Impact on Survey Estimation and Inference
Preparation for Complex Sample Survey Data Analysis
Introduction
Analysis Weights: Review by the Data User
Understanding and Checking the Sampling Error Calculation Model
Addressing Item Missing Data in Analysis Variables
Preparing to Analyze Data for Sample Subpopulations
A Final Checklist for Data Users
Descriptive Analysis for Continuous Variables
Introduction
Special Considerations in Descriptive Analysis of Complex Sample Survey Data
Simple Statistics for Univariate Continuous Distributions
Bivariate Relationships between Two Continuous Variables
Descriptive Statistics for Subpopulations
Linear Functions of Descriptive Estimates and Differences of Means
Exercises
Categorical Data Analysis
Introduction
A Framework for Analysis of Categorical Survey Data
Univariate Analysis of Categorical Data
Bivariate Analysis of Categorical Data
Analysis of Multivariate Categorical Data
Exercises
Linear Regression Models
Introduction
The Linear Regression Model
Four Steps in Linear Regression Analysis
Some Practical Considerations and Tools
Application: Modeling Diastolic Blood Pressure with the NHANES Data
Exercises
Logistic Regression and Generalized Linear Models (GLMs) for Binary Survey Variables
Introduction
GLMs for Binary Survey Responses
Building the Logistic Regression Model: Stage 1, Model Specification
Building the Logistic Regression Model: Stage 2, Estimation of Model Parameters and Standard Errors
Building the Logistic Regression Model: Stage 3, Evaluation of the Fitted Model
Building the Logistic Regression Model: Stage 4, Interpretation and Inference
Analysis Application
Comparing the Logistic, Probit, and Complementary Log-Log GLMs for Binary Dependent Variables
Exercises
GLMs for Multinomial, Ordinal, and Count Variables
Introduction
Analyzing Survey Data Using Multinomial Logit
Regression Models
Logistic Regression Models for Ordinal Survey Data
Regression Models for Count Outcomes
Exercises
Survival Analysis of Event History Survey Data
Introduction
Basic Theory of Survival Analysis
(Nonparametric) Kaplan-Meier Estimation of the Survivor Function
Cox Proportional Hazards Model
Discrete Time Survival Models
Exercises
Multiple Imputation: Methods and Applications for Survey Analysts
Introduction
Important Missing Data Concepts
An Introduction to Imputation and the Multiple Imputation Method
Models for Multiply Imputing Missing Data
Creating the Imputations
Estimation and Inference for Multiply Imputed Data
Applications to Survey Data
Exercises
Advanced Topics in the Analysis of Survey Data
Introduction
Bayesian Analysis of Complex Sample Survey Data
Generalized Linear Mixed Models (GLMMs) in Survey Data Analysis
Fitting Structural Equation Models to Complex Sample Survey Data
Small Area Estimation and Complex Sample Survey Data
Nonparametric Methods for Complex Sample Survey Data
References
Appendix: Software Overview
×
Free shipping on orders over $35*

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

Learn more about the TextbookRush Marketplace.

×