The Practice of Survey Research

Erin Ruel - Georgia State University, USA
William Edward Wagner, III - California State University, Channel Islands, USA
Brian Joseph Gillespie - University of Groningen, Netherlands

Courses:
Introduction to Research Methods | Survey Research

May 2015 | 360 pages | SAGE Publications, Inc

Unique in its integration of theory and application, this comprehensive book explains survey design, implementation, data analysis, and continuing data management, including how to effectively incorporate the latest technology (e.g., SurveyMonkey and Qualtrics). Data management and analysis are demonstrated and explained through statistical software including SPSS, SAS, and STATA. In addition to helping students develop a complete understanding of survey research from start to finish, the authors also address the challenges and issues of specific disciplines.

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ISBN: 9781452235271	Paperback	Suggested Retail Price: $75.00	Bookstore Price: $60.00
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Part I: Before the Survey

Chapter 1: Introduction to Survey Research

What is survey research?

How do you know if a survey is good?

Surveys about Teachers: Are They Good Teachers?

Applications of Survey Research

Technology and Survey Research

The Ethics of Survey Research

Key Decisions about Survey Research: What’s Ahead

Part II: Questionnaire Design

Chapter 2: Types of Surveys

Omnibus Surveys

Administration

Importance of Proper Training of Interviewers

Types of Surveys

Chapter 3: The Survey Instrument

The Cover Letter

The Survey Instrument

Appearance, Formatting, and Design

Chapter 4: Survey Question Construction

Concept Measurement: Traits, Assessments, and Sentiments

Complex Concepts Question Development

Responses to Questions

Measurement Error

Chapter 5: Validity and Reliability

Reliability

Correlation

Types of Reliability and Estimation

Validity

Chapter 6: Pre-testing and Pilot Testing

Pre-testing

Pilot Testing

Pre-test and Pilot Test Limitations

Part III: Implementing a Survey

Chapter 7: Selecting a Sample: Probability Sampling

Sampling Terminology

Sampling Theory

Probability Sampling Techniques

Chapter 8: Non-Probability Sampling and Sampling Hard to Find Populations

Convenience Sampling

Quota Sampling

Purposive Sampling

Sampling Hard to Find Populations

Chapter 9: Improving Response Rates and Retention

Response Rates and Non-response Errors

Non-response Bias

Attrition in Panel Studies

Methods to Increase Participant Contact and Participant Cooperation

Chapter 10: Technologies to Develop and Implement Surveys

Mail Survey Administration

Computer-assisted Interviewing

Post-survey Data Entry and Data Cleaning Technology

Contracting with a Research Center to Conduct the Survey

Chapter 11: Data Collection

The Self-administered Cross-sectional Mailed Survey

The Self-administered Longitudinal Panel Mailed Survey

Interviewer-administered Surveys

Self-administered Web Surveys

Comparing Survey Types

Storage Needs

Part IV: Post-Survey Data Management and Analysis

Chapter 12: Data Entry

Data Entry

Documentation

Chapter 13: Data Cleaning

Simple Cross-sectional Data Cleaning

Cosmetic Cleaning

Skip Patterns

Multiple-response Questions, Other Specify and Open-ended Questions

Cleaning for Diagnostics

Interviewer Effects/Mode Effects

Cleaning Longitudinal Data

The Codebook

Chapter 14: Data Analysis for a Policy Report

Policy Reports

Descriptive Statistics

Analysis for a Policy Report

Summary

The Report Write-up

Chapter 15: More Advanced Data Analysis

Explanatory Research Questions

Journal Article Format

Regression Analysis

Addressing Missing Data

OLS Regressions of the Positive Relocation Scale

Creating Tables for the Journal Article and Writing-up the Results

Chapter 16: Data Archiving

Seeking External Funding for Your Survey Project

Archiving Original and Final Data

Data Format

Archiving and Making Data Publicly Available

Supplements

Companion Website
The companion website features data and syntax examples from Chapters 14 and 15 in all three of the main statistical software packages—SAS, SPSS, and STATA—so you can follow along as you study these chapters.

Key features

KEY FEATURES:

The depth of coverage of data management helps readers develop a strong foundation for their survey research.
The data analysis chapters include write-ups for policy reports and articles to demonstrate how to interpret and use the data to communicate findings.
Real-life research examples throughout the text demonstrate concepts in action.
Samples of the important checklists that survey researchers use to make sure they have addressed all the decisions that need to be made to provide readers with models for their own research.
Ethics Corner sections discuss ethical issues specific to the chapter to demonstrate the types of ethical decisions and dilemmas that come up throughout the survey process.
Key terms and critical thinking questions at the end of each chapter help readers master the material.

Sample Materials & Chapters

Chapter 6

Chapter 13

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The Practice of Survey Research
Theory and Applications

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