Franklin

Power of Survey Design : A User's Guide for Managing Surveys, Interpreting Results, and Influencing Respondents.

Author/Creator:
Iarossi, Gluseppe.
Publication:
Herndon : World Bank Publications, 2006.
Format/Description:
Book
1 online resource (282 pages)
Edition:
1st ed.
Status/Location:
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Subjects:
Social surveys -- Methodology.
Questionnaires -- Methodology.
Form/Genre:
Electronic books.
Summary:
"A master of his craft, Giuseppe Iarossi has drawn on his extensive experience in the field to produce a wonderfully useful volume on how to do and work with surveys of industrial firms."- Kenneth L. Sokoloff, Department of Economics, U.C.L.A A practical how-to guide on all the steps involved with survey implementation, this volume covers survey management, questionnaire design, sampling, respondent’s psychology and survey participation, and data management. A comprehensive and practical reference for those who both use and produce survey data.
Contents:
Intro
Table of Contents
Foreword
Acknowledgments
Abbreviations and Acronyms
Chapter 1. Taking A Closer Look at Survey Implementation
Chapter 2. Survey Management: An Overview
Overall Program Design
Questionnaire Design, Pilot, and Data Entry Form
Survey Firm Selection
The Sample
Training
Fieldwork and Data Quality Control
Chapter 3. How Easy It Is to Ask the Wrong Question
Practical Guidelines in Questionnaire Designs
Question Wording
Question Style
Question Type
Question Sequence
Questionnaire Length
Questionnaire Layout
Translation
Pre-Test
Chapter 4. A Practical Approach to Sampling
Determining the Sample Size in Simple Random Sampling
Determining the Sample Size in Stratified Sampling
How to Carry Out Systematic Sampling
How to Carry Out the Probability Proportional to Size Selection Method
How to Deal with Population Frame Problems
Impact of Mergers, Acquisitions, and Separations on Sampling Weights
Weight Adjustments and Poststratification
Sampling in Practice: How to Maximize the Sample Representativeness while Minimizing the Survey Cost through the Use of Poststratification
Chapter 5. Respondent's Psychology and Survey Participation
Factors Affecting Participation
Training
Practical Training Tips
Securing Participation
Conducting the Interview
Chapter 6. Why Data Management Is Important
Coding
Editing
Electronic Data Entry
Cleaning
References
Appendixes
Appendix 1. Perception Questions in the Investment Climate Survey Core Questionnaire
Appendix 2. Objective Questions Used for Parametric Estimation of Survey Firm Fixed Effect
Appendix 3. Parametric Results of Survey Firm Fixed Effects on Objective Questions
Appendix 4. Table of za/2 Distribution Corresponding to Different Levels of Confidence a.
Appendix 5. Table of Random Numbers
Appendix 6. Information Disclosed in Survey Introductions
Appendix 7. Minimum Fieldwork Log Data
Boxes
1.1 One Poll, Multiple Interpretations
2.1 Criteria to Look at When Selecting a Survey Firm
2.2 Key Actors and Their Functions in a Typical Investment Climate Survey
2.3 Responsibilities Must be Clearly Identified in the Interview Cycle
3.1 List of Questionnaire Problems for Pre-Test Expert Review
4.1 The Sampling Unit in Business Surveys
4.2 Advising a Mayor
4.3 Why it is Important to Use Weights with Stratified Sampling
4.4 Using SAS to Draw Samples
6.1 How to Assign Questionnaire IDs
Figures
2.1 Who Is Asking What?
2.2 Gantt Charts Illustrate Timing of Survey Activities
3.1 Levels of Education of IC Survey Respondents
3.2 A One-word Change Has a Significant Impact on Response
3.3 Response Rate Distribution When the Order of Alternatives is Reversed
3.4 Affirmative Questions Reduce Requests for Clarifications
3.5 Double-Barreled Questions Increase Requests for Clarifications
3.6 Response Rate Effect of Long Repetitive Lists among Consecutive Questions
3.7 Interviews Conducted by Government Agencies Decrease Reports of Corruption
3.8 Index of Memory Error by Mode of Interview
3.9 Accuracy of Recall Decreases Over Time
3.10 Effect of Time on Underreporting Hospitalization
3.11 Respondents Answering "Don't Know" Increases with Option to Opt Out
3.12 Impact of Numeric Scales on Response Patterns
3.13 Negative or Positive Words Influence Respondents Differently
3.14 Event Contamination: Closed-Question Format Is Unable to Detect External Shocks
3.15 Relationship Between Questionnaire Length and Response Rate
3.16 Effect of Unclear Terms on Survey Results
3.17 Unclear Terms Take Longer to Answer.
3.18 Percentage of Problems Identified by Different Pre-Test Methods
5.1 Factors Affecting Survey Participation
5.2 Survey Participation By Length of Interview
5.3 Interview Length Has an Insignificant Effect on Participation
5.4 Index of Response Error by Interviewer Characteristics
5.5 Effects of Interviewer Training on Quality and Quantity of Data
5.6 Effects of Quantity of Arguments on Persuasion
5.7 Effects of Quality Arguments on Persuasion
5.8 Effects of Quantity and Quality of Arguments on Persuasion When Respondent's Saliency is High
5.9 Active Participation Rate of Initially Reluctant Respondents
5.10 Response Accuracy with Standardized and Flexible Interviewing Styles
5.11 Probing Styles
6.1 Difference Among NA, NP, REF, DK, and Zero
6.2 Blurred Discrimination between Zero or Not Applicable Affects Data Accuracy
6.3 Respondent's Cognitive Effort by Question Type
6.4 Ostensibly Innocuous Questions Can Produce Inconsistent Answers
6.5 Question Flows
6.6 Question Structure
6.7 Inconsistent Answers 1
6.8 Inconsistent Answers 2
6.9 Inconsistent Answers 3
6.10 Questions on Export
6.11 Question Structure
6.12 Question Inconsistencies
6.13 Remote Questions Used for Cross-Checks
6.14 Cleaning
6.15 Questions Asked to Different Respondents
6.16 Distribution of Answers to Questions XV.11 (Q15.11), XV.12 (Q15.12), and VI.11 (Q6.11) before Cleaning
6.17 Distribution of Answers to Q15.12 when Q15.11 = "No"
6.18 Distribution of Answers between XV.11 (Q15.11) and XV.12 (Q15.12) after Cleaning.
6.19 Distribution of Answers Among XV.11 (Q15.11), XV.12 (Q15.12), and VI.11 (Q6.11) after Cleaning.
Tables
1.1 Attitudes and Ambiguities toward Democracy in Latin America (Percent of Respondents)
1.2 Same Question (Leading to) Different Answers.
2.1 Share of Survey Cost in Household Surveys
2.2. Weekly Reports Enable Managers to Monitor Progress
3.1 Reported Behavior Using Low and High Category Ranges
3.2 Interviews Conducted by Government Agencies and International Private Firms Affect Survey Responses
3.3 Accuracy is Higher for Open-Ended Questions
3.4 As Frequency of Event Decreases, Use of Episode Enumeration Increases
3.5 Higher Event Frequency Has a Negative Effect on Accuracy
3.6 Response Time and Episode Enumeration Have a Positive Effect on Accuracy
3.7 Perceived Percentage Values Associated with Descriptive Words
3.8 Interviews Conducted by Government Agencies and International Private Firms Reduce Probability of Rating Major Constraints
3.9 Open- and Closed-Question Formats Generate Different Responses
4.1 Weight Adjustments for Noncoverage
4.2 Kish's Selection Grid
4.3 Frame Accuracy and Sampling Weights: The Case of Mergers, Acquisitions, and Separations in Establishment Surveys
4.4 Sample Design: Stratified Sample Random Sampling
4.5 Weight Adjustments Components for Stratum A
4.6 Weight Adjustments Components for All Strata
4.7 Estimation of Final Weights
4.8 Population Distribution by Sector, Region, and Size
4.9 Sample Size Requirements for 90 Percent Confidence Interval
4.10 Stratification and Required Sample Size for 90 Percent Confidence and 5 Percent Error
4.11 Employment Contribution by Sector and Location
4.12 Target Population (Four Regions and Five Sectors) and Required Sample
4.13 Final Target Population (Four Regions and Four Sectors) and Required Sample Size
4.14 Expected Sample Sizes and Levels of Statistical Significance
4.15 Stratification by Sector and Location
4.16 Sample, Replacements, and Total Elements to Draw
4.17 Final Sample and Weights.
4.18 Poststratification by Ownership
6.1 Distribution of Consistent and Inconsistent Answers
6.2 Multiplicity of Inconsistent Answers
A3.1 Survey Firm Fixed Effect on "Unofficial Payments to Get Things Done"
A3.2 Survey Firm Fixed Effect on "Gifts Expected as Percent Value of Government Contracts"
A3.3 Firm Survey Fixed Effect on "Estimated Percent of Total Sales Declared for Tax Purposes"
A3.4 Firm Survey Fixed Effects on "Percent of Senior Management's Time Dealing With Government"
A3.5 Firm Survey Fixed Effects on "Total Days Spent With Officials from Tax Inspectorate"
A3.6 Firm Survey Fixed Effects on "Days on Average to Claim Imports from Customs"
A3.7 Firm Survey Fixed Effects on "Days on Average to Clear Customs for Exports"
A3.8 Firm Survey Fixed Effects on "Optimal Level of Employment Compared to Current Level (%)"
A3.9 Firm Survey Fixed Effects on "Days of Power Outages/Surges from Public Grid"
A3.10 Firm Survey Fixed Effects on "Days of Insufficient Water Supply"
A3.11 Firm Survey Fixed Effects on "Days of Unavailable Mainline Telephone Service"
A3.12 Firm Survey Fixed Effects on "Percent of Sales Lost Due to Power Outages/Surges"
A3.13 Firm Survey Fixed Effects on "Percent of Sales Lost Due to Insufficient Water Supply Last Year"
A3.14 Firm Survey Fixed Effects on "Percent of Sales Lost Due to Unavailable Telephone Service Last Year"
A3.15 Firm Survey Fixed Effects on "Percentage of Average Cargo Value Lost in Transit".
Notes:
Description based on publisher supplied metadata and other sources.
Local notes:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Other format:
Print version: Iarossi, Gluseppe Power of Survey Design
ISBN:
9780821363935
9780821363928
OCLC:
63177335