Handbook of Survey Research

Handbook of Survey Research

1st Edition - January 1, 1983

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  • Editors: Peter H. Rossi, James D Wright, Andy B. Anderson
  • eBook ISBN: 9781483276304

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Handbook of Survey Research provides an introduction to the theory and practice of sample survey research. It addresses both the student who desires to master these topics and the practicing survey researcher who needs a source that codifies, rationalizes, and presents existing theory and practice. The handbook can be organized into three major parts. Part 1 sets forth the basic theoretical issues involved in sampling, measurement, and management of survey organizations. Part 2 deals mainly with ""hands-on,"" how-to-do-it issues: how to draw theoretically acceptable samples, how to write questionnaires, how to combine responses into appropriate scales and indices, how to avoid response effects and measurement errors, how actually to go about gathering survey data, how to avoid missing data (and what to do when you cannot), and other topics of a similar nature. Part 3 considers the analysis of survey data, with separate chapters for each of the three major multivariate analysis modes and one chapter on the uses of surveys in monitoring overtime trends. This handbook will be valuable both to advanced students and to practicing survey researchers seeking a detailed guide to the major issues in the design and analysis of sample surveys and to current state of the art practices in sample surveys.

Table of Contents

  • Contributors


    Chapter 1 Sample Surveys: History, Current Practice, and Future Prospects

    1.1. Introduction

    1.2. A Short History of Sample Surveys

    1.3. Survey Research in the 1980s

    1.4. Current Developments and Issues in Survey Research

    1.5. The Handbook of Survey Research


    Chapter 2 Sampling Theory

    2.1. Introduction

    2.2. Stratified Sampling

    2.3. Cluster Sampling

    2.4. Advanced Topics

    2.5. Further Reading and Other Topics


    Chapter 3 Measurement

    3.1. Measurement

    3.2. Platonic and Classical True Scores

    3.3. Reliability and Validity Defined

    3.4. The Effect of Unreliability on Statistical Estimates

    3.5. Reliability as a Function of the Number of Independent Measures

    3.6. Types of Reliability

    3.7. Factor Analysis and Internal Consistency

    3.8. Validity

    3.9. Conclusion


    Chapter 4 Management of Survey Organizations

    4.1. Introduction

    4.2. The Goals of a Survey Research Organization

    4.3. The Management Issue

    4.4. A Personal Postscript


    Chapter 5 Applied Sampling

    5.1. Introduction

    5.2. How Good Does the Sample Need to Be?

    5.3. Inappropriate Sample Designs

    5.4. The Use of Biased Samples for Screening

    5.5. Defining the Population

    5.6. Problems with Overdefining the Population

    5.7. Operational Definitions of the Population

    5.8. Small-Scale Sampling with Limited Resources

    5.9. A Credibility Scale

    5.10. Examples

    5.11. Simple Random Sampling

    5.12. Random Numbers

    5.13. Systematic Sampling

    5.14. Are Systematic Samples Simple Random Samples?

    5.15. The Uses and Limitations of Lists

    5.16. Blanks and Ineligibles on Lists

    5.17. Duplications

    5.18. Omissions from Lists

    5.19. The Use of Telephone Directories and Random Digit Dialing

    5.20. Screening for Special Populations

    5.21. How Big Should the Sample Be?

    5.22. Current Sample Sizes Used

    5.23. The Reasons for Stratified Sampling

    5.24. Appropriate and Inappropriate Uses of Stratification

    5.25. The Strata are of Primary Interest

    5.26. Variances Differ between Strata

    5.27. Costs Differ by Strata

    5.28. Additional Reading


    Chapter 6 Questionnaire Construction and Item Writing

    6.1. Introduction

    6.2. Standardized Questionnaires

    6.3. Mode of Administration

    6.4. Type of Sample to Be Interviewed

    6.5. Qualities of a Good Questionnaire

    6.6. Deciding on Content

    6.7. Writing the Questions

    6.8. Question Order and Format

    6.9. Pretesting

    6.10. Back to the Drawing Board

    6.11. Data-Base Considerations

    6.12. Other Types of Instruments and Materials

    6.13. Summary


    Chapter 7 Measurement: Theory and Techniques

    7.1. Introduction

    7.2. Measurement Theory

    7.3. Scaling Techniques

    7.4. Concluding Remarks


    Chapter 8 Response Effects

    8.1. Introduction

    8.2. Model for Conceptualizing Factors That Affect Responses

    8.3. Empirical Studies of Response Effects

    8.4. Conclusions


    Chapter 9 Data Collection: Planning and Management

    9.1. Objectives of the Survey Interview

    9.2. Tasks to Accomplish the Objectives

    9.3. Summary


    Chapter 10 Mail and Other Self-Administered Questionnaires

    10.1. Introduction

    10.2. The Total Design Method

    10.3. Limitations of Mail Surveys

    10.4. Costs

    10.5. Other Self-Administered Questionnaires

    10.6. Conclusion


    Chapter 11 Computers in Survey Research

    11.1. Introduction

    11.2. Instrument Design

    11.3. Sampling

    11.4. Field Monitoring

    11.5. Coding and Editing

    11.6. Data Capture

    11.7. Data Cleaning

    11.8. Scale-Index Construction

    11.9. Data Base Organization

    11.10. Data Retrieval

    11.11. Statistical Analysis

    11.12. Documentation

    11.13. Report Writing

    11.14. Concluding Remarks


    Chapter 12 Missing Data

    12.1. Introduction

    12.2. The Analysis of Experimental Design Models Using Incomplete Data

    12.3. Missing Data in Survey Samples

    12.4. Regression Analysis with Incomplete Observations

    12.5. Other Multivariate Models

    12.6. Summary


    Chapter 13 Applications of the General Linear Model to Survey Data

    13.1. Introduction

    13.2. The Two-Variable Regression Model

    13.3. The Multivariate Model

    13.4. Some Common Problems with the Multivariate Model

    13.5. Some Concluding Observations


    Chapter 14 Analyzing Qualitative Data

    14.1. Introduction

    14.2. Modeling the Distribution of Cases in a Contingency Table

    14.3. Latent Structure Analysis

    14.4. Linear Models for Qualitative Data

    14.5. Conclusion


    Chapter 15 Causal Modeling and Survey Research

    15.1. Introduction

    15.2. Some Basic Principles of Nonexperimental Causal Inference

    15.3. Some Types of Recursive Causal Models and Their Representation

    15.4. Some Uses of Nonrecursive Causal Models

    15.5. Conclusion


    Chapter 16 Surveys as Social Indicators: Problems in Monitoring Trends

    16.1. Introduction

    16.2. Two Puzzles: Assessing Trends in Criminal Victimization and Confidence in American Institutions

    16.3. Sources of Survey Noncomparability

    16.4. Conclusions and Recommendations



Product details

  • No. of pages: 774
  • Language: English
  • Copyright: © Academic Press 1983
  • Published: January 1, 1983
  • Imprint: Academic Press
  • eBook ISBN: 9781483276304

About the Editors

Peter H. Rossi

James D Wright

Andy B. Anderson

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