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The industry standard guide, updated with new ideas and SPSS analysis techniques Designing and Conducting Survey Research: A Comprehensive Guide Fourth Edition is the industry standard resource that covers all major components of the survey process, updated to include new data analysis techniques and SPSS procedures with sample data sets online. The book offers practical, actionable guidance on constructing the instrument, administrating the process, and analyzing and reporting the results, providing extensive examples and worksheets that demonstrate the appropriate use of survey and data techniques. By clarifying complex statistical concepts and modern analysis methods, this guide enables readers to conduct a survey research project from initial focus concept to the final report. Public and nonprofit managers with survey research responsibilities need to stay up-to-date on the latest methods, techniques, and best practices for optimal data collection, analysis, and reporting. Designing and Conducting Survey Research is a complete resource, answering the "what", "why", and "how" every step of the way, and providing the latest information about technological advancements in data analysis. The updated fourth edition contains step-by-step SPSS data entry and analysis procedures, as well as SPSS examples throughout the text, using real data sets from real-world studies. Other new information includes topics like: * Nonresponse error/bias * Ethical concerns and special populations * Cell phone samples in telephone surveys * Subsample screening and complex skip patterns The fourth edition also contains new information on the growing importance of focus groups, and places a special emphasis on data quality including size and variability. Those who employ survey research methods will find that Designing and Conducting Survey Research contains all the information needed to better design, conduct, and analyze a more effective survey.
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Figures, Tables, Exhibits, and Worksheets
Preface
The Authors
Part One: Developing and Administering Questionnaires
Chapter 1: An Overview of the Sample Survey Process
Gathering Information through Research
Advantages of Sample Survey Research
Types of Sample Survey Research
Stages of the Survey Research Process
Monitoring and Supervision of the Interview Process
Ethical Considerations in Survey Research
Conclusion
Chapter 2: Designing Effective Questionnaires: Basic Guidelines
Introducing the Study
Sequence of Questions
Question Format: Open-Ended or Closed-Ended
Questionnaire Length
Editing the Completed Questionnaire
Chapter 3: Developing Survey Questions
Guidelines for Phrasing Questions
Levels of Measurement
Formatting of Questions
Chapter 4: Using Focus Groups in the Survey Research Process
Uses of Focus Groups
Planning Focus Groups
Recruiting Focus Group Participants
Implementing the Focus Group Sessions
Part Two: Ensuring Scientific Accuracy
Chapter 5: Descriptive Statistics: Measures of Central Tendency and Dispersion
Measures of Central Tendency
Measures of Dispersion
The Normal Distribution
Selecting the Most Appropriate Measure of Central Tendency for Describing Survey Data
Scaled Frequency Distributions
Chapter 6: The Theoretical Basis of Sampling
Properties of the Normal Distribution
The Standardized Z Score
The Theoretical Basis of Sampling
Generalizing from a Single Sample
Chapter 7: Confidence Intervals and Basic Hypothesis Testing
Confidence Intervals
Confidence Intervals Expressed as Proportions
Hypothesis Testing
Chapter 8: Determining the Sample Size
Determinants of Sampling Accuracy
Determination of Sample Size for Variables Expressed in Terms of Proportions
Determination of Sample Size for Interval Scale Variables
Determination of Sample Size When Both Proportional and Interval Scale Variables Are Present
Chapter 9: Selecting and Obtaining a Representative Sample
Probability Sampling
Identification of the Sampling Frame
Establishing a Representative Working Population
Examples of Sampling Frames
Weighting Disproportionate Samples
Nonresponse Bias
Nonprobability Sampling
Part Three: Presenting and Analyzing Survey Results
Chapter 10: Analyzing Cross-Tabulated Data
Cross-Tabulated Contingency Tables
The Chi-Square Test of Significance
Cramér’s
V
and Phi (Φ)
Additional Chi-Square Considerations
Gamma (γ)
Testing the Statistical Significance of Gamma
Chapter 11: Testing the Difference between Means
Independent Samples
t
Test
Paired Samples
t
Test
Difference of Proportions Test
Analysis of Variance
Post Hoc Tests: A Multiple Comparison of Means
Spuriousness
Chapter 12: Regression and Correlation
Simple Linear Regression
Testing the Significance of the Regression Line
Calculation of Sum of Squares
Calculation of Variances and
F
Ratio
Coefficient of Determination (
r
2
)
Pearson’s r Correlation
Dummy Variables
Choosing among Tests of Significance and Measures of Association
Chapter 13: Preparing an Effective Final Report
Report Format
Specific Considerations for Formally Reporting Survey Results
Resource A: Table of Areas of a Standard Normal Distribution
Resource B: Glossary
Bibliography
Index
End User License Agreement
Figure 5.1. The Normal Curve
Figure 5.2. Distribution with Positive Skew
Figure 5.3. Distribution with Negative Skew
Figure 5.4. Histogram
Figure 6.1. Area under the Normal Curve
Figure 6.2. Proportionate Areas under the Normal Curve for Military Weights
Figure 6.3. Standardized Proportionate Areas under the Normal Curve: An Example
Figure 6.4. Distribution of Sample Means
Figure 6.5. Hypothetical Normal Distributions for Sample Means Compared to Raw Data
Figure 6.6. Properties of Normal Curves Applied to Hypothetical Distribution of Sample Mean Weights
Figure 7.1. Dual-Direction Research Question (Two-Tail Test at 95 Percent Confidence Level)
Figure 7.2. Single-Direction Research Question (One-Tail Test at 95 Percent Confidence Level)
Figure 8.1. Determining Sample Size
Figure 11.1. ANOVA Table for Public Works Employees
Figure 12.1. Rehabilitation Subsidy/Property Value Increase Analysis
Figure 12.2. Scatter Plot and Regression Line
Figure 12.3. Violent Crimes and Population
Figure 12.4. Prior Convictions and Sentence Length
Figure 12.5. ANOVA Table for Regression Line of Subsidy and Value Increases
Figure 13.1. Favor or Oppose Building Seawater Desalination Facilities
Figure 13.2. Rating of Police Response to Emergency and Nonemergency Calls
Figure 13.3. Mean Satisfaction Ratings for Various Features of Bus Service
Figure 13.4. Frequency of Sprinkler Adjustment by Households with an Automatically Controlled Sprinkler System
Table 2.1. Ways in Which City Government Can Serve Community Needs
Table 5.1. Political Leaning
Table 5.2. Rating of Local Library Facilities
Table 5.3. Number of Children per Household in Mt. Pilot, South Dakota
Table 5.4. Consultants’ Hourly Fees Paid by Cities in Pennsylvania
Table 5.5. Travel Time to Work in Jersey City, New Jersey
Table 5.6. Police Nonemergency Response Times
Table 5.7. Willingness to Spend for Street and Highway Beautification
Table 5.8. Impression of Effect on Montgomery City Government on Business
Table 6.1. Distribution of 100 Hypothetical Sample Mean Weights
Table 8.1. Minimum Sample Sizes for Variables Expressed as Proportions
Table 8.2. Minimum Sample Sizes for Selected Small Populations
Table 9.1. Proportionate Sample Representation for a Hypothetical Ethnic Distribution
Table 9.2. Population of Davis Planning Areas
Table 9.3. Outdoor Recreation Facilities Used Most Often by Davis Residents, by Planning Area
Table 10.1. Number of Years as a Customer of the Richmond Water District
Table 10.2. Number of Years as a Customer of the Richmond Water District, by Area of Residence
Table 10.3. Number of Years as a Customer of the Richmond Water District, by Area of Residence: Male Respondents
Table 10.4. Opinion Concerning Capital Punishment by Political Party
Table 10.5. Value of Physical Therapy, by Age of Respondent
Table 10.6. Political Orientation of Teachers in the Santa Rosa School District, by Gender
Table 10.7. Educational Level, by Socioeconomic Status
Table 10.8. Most Frequently Used Mode of Transportation to Work, by Subarea
Table 11.1. Promotional Examination Score, by Department Affiliation
Table 13.1. Statistically Significant Differences for Various Potential Uses of Recycled Water
Exhibit 2.1. Mail-Out Introduction
Exhibit 2.2. Telephone Introduction
Exhibit 2.3. In-Person Introduction
Exhibit 2.4. Series of Questions Demonstrating Sensitizing of Respondents
Exhibit 2.5. Filter or Screening Questions
Exhibit 2.6. Screening Used to Disqualify Respondents
Exhibit 4.1. Sample Focus Group Confirmation E-Mail
Exhibit 4.2. Structured Format for a Focus Group Discussion
Exhibit 5.1. Salaries of Employees of a Small, Private Business
Exhibit 7.1. Values of Calculated
Z
Scores to Determine Significance (according to Research Hypothesis Direction)
Exhibit 7.2. Critical Values of the
t
Distribution
Exhibit 9.1. Sample Sizes and Weights for the City of Davis Planning Areas
Exhibit 9.2. Sample Sizes and Weights for Stratified Sample for Table 9.1
Exhibit 10.1. Critical Values of the Chi-Square Distribution
Exhibit 10.2. Interpretation of Calculated Cramér’s
V
, Phi, and Lambda Measures of Association
Exhibit 10.3. Interpretation of Calculated Gamma
Exhibit 11.1. Table of
F
-Statistics,
P
= .05
Exhibit 11.2. Table of
F
-Statistics,
P
= .01
Exhibit 11.3. Studentized Range (
q
) Distribution
Exhibit 12.1. Choosing the Appropriate Statistical Test or Measure
Exhibit 13.1. Example of a Cover Page
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Cover
Table of Contents
Begin Reading
Reprints of “IBM SPSS Statistics software (SPSS)” courtesy of International Business Machines Corporation, © International Business Machines Corporation. SPSS Inc. was acquired by IBM in October, 2009. IBM, the IBM logo, ibm.com, and SPSS are trademarks or registered trademarks of International Business Machines Corporation, registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM or other companies. A current list of IBM trademarks is available on the Web at “IBM Copyright and trademark information” at www.ibm.com/legal/copytrades.html.
Fourth Edition
Louis M. Rea
Richard A. Parker
Cover design by C. Wallace
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Library of Congress Cataloging-in-Publication Data
Library of Congress Cataloging-in-Publication Data has been applied for and is on file with the Library of Congress.
ISBN 978-1-118-76703-0 (pbk); ISBN 978-1-118-76702-3 (ebk); ISBN 978-1-118-76700-9 (ebk)
5.1
The Normal Curve
5.2
Distribution with Positive Skew
5.3
Distribution with Negative Skew
5.4
Histogram
6.1
Area under the Normal Curve
6.2
Proportionate Areas under the Normal Curve for Military Weights
6.3
Standardized Proportionate Areas under the Normal Curve: An Example
6.4
Distribution of Sample Means
6.5
Hypothetical Normal Distributions for Sample Means Compared to Raw Data
6.6
Properties of Normal Curves Applied to Hypothetical Distribution of Sample Mean Weights
7.1
Dual-Direction Research Question (Two-Tail Test at 95 Percent Confidence Level)
7.2
Single-Direction Research Question (One-Tail Test at 95 Percent Confidence Level)
8.1
Determining Sample Size
11.1
ANOVA Table for Public Works Employees
12.1
Rehabilitation Subsidy/Property Value Increase Analysis
12.2
Scatter Plot and Regression Line
12.3
Violent Crimes and Population
12.4
Prior Convictions and Sentence Length
12.5
ANOVA Table for Regression Line of Subsidy and Value Increases
13.1
Favor or Oppose Building Seawater Desalination Facilities
13.2
Rating of Police Response to Emergency and Nonemergency Calls
13.3
Mean Satisfaction Ratings for Various Features of Bus Service
13.4
Frequency of Sprinkler Adjustment by Households with an Automatically Controlled Sprinkler System
2.1
Ways in Which City Government Can Serve Community Needs
5.1
Political Leaning
5.2
Rating of Local Library Facilities
5.3
Number of Children per Household in Mt. Pilot, South Dakota
5.4
Consultants’ Hourly Fees Paid by Cities in Pennsylvania
5.5
Travel Time to Work in Jersey City, New Jersey
5.6
Police Nonemergency Response Times
5.7
Willingness to Spend for Street and Highway Beautification
5.8
Impression of Effect on Montgomery City Government on Business
6.1
Distribution of 100 Hypothetical Sample Mean Weights
8.1
Minimum Sample Sizes for Variables Expressed as Proportions
8.2
Minimum Sample Sizes for Selected Small Populations
9.1
Proportionate Sample Representation for a Hypothetical Ethnic Distribution
9.2
Population of Davis Planning Areas
9.3
Outdoor Recreation Facilities Used Most Often by Davis Residents, by Planning Area
10.1
Number of Years as a Customer of the Richmond Water District
10.2
Number of Years as a Customer of the Richmond Water District, by Area of Residence
10.3
Number of Years as a Customer of the Richmond Water District, by Area of Residence: Male Respondents
10.4
Opinion Concerning Capital Punishment by Political Party
10.5
Value of Physical Therapy, by Age of Respondent
10.6
Political Orientation of Teachers in the Santa Rosa School District, by Gender
10.7
Educational Level, by Socioeconomic Status
10.8
Most Frequently Used Mode of Transportation to Work, by Subarea
11.1
Promotional Examination Score, by Department Affiliation
13.1
Statistically Significant Differences for Various Potential Uses of Recycled Water
2.1
Mail-Out Introduction
2.2
Telephone Introduction
2.3
In-Person Introduction
2.4
Series of Questions Demonstrating Sensitizing of Respondents
2.5
Filter or Screening Questions
2.6
Screening Used to Disqualify Respondents
4.1
Sample Focus Group Confirmation E-Mail
4.2
Structured Format for a Focus Group Discussion
5.1
Salaries of Employees of a Small, Private Business
7.1
Values of Calculated
Z
Scores to Determine Significance (according to Research Hypothesis Direction)
7.2
Critical Values of the
t
Distribution
9.1
Sample Sizes and Weights for the City of Davis Planning Areas
9.2
Sample Sizes and Weights for Stratified Sample for Table 9.1
10.1
Critical Values of the Chi-Square Distribution
10.2
Interpretation of Calculated Cramér’s
V
, Phi, and Lambda Measures of Association
10.3
Interpretation of Calculated Gamma
11.1
Table of
F
-Statistics,
P
= .05
11.2
Table of
F
-Statistics,
P
= .01
11.3
Studentized Range (
q
) Distribution
12.1
Choosing the Appropriate Statistical Test or Measure
13.1
Example of a Cover Page
5.1
Determination of Median
5.2
Calculation of Mean Number of Children, Mt. Pilot, South Dakota
5.3
Calculation of Mean Travel Time to Work in Jersey City, New Jersey
5.4
Calculation of Standard Deviation for Individual Case Data
5.5
Calculation of Standard Deviation for a Frequency Distribution with Single-Value Categories
5.6
Calculation of Standard Deviations for Table 5.6
9.1
Calculation of Weighted Citywide Total for Outdoor Recreation Facilities Used Most Often
10.1
Chi-Square Matrix (
n
= 500)
11.1
Public Works Employees’ Earnings
12.1
Calculation of Regression Line
12.2
Residual Sum of Squares
The sample survey research industry can expect to continue its rapid expansion in the years ahead. As we move through the twenty-first century, myriad technological and analytical innovations have firmly entrenched the probability sample as an indispensable part of life. The growing population and associated socioeconomic complexities, the strengthening of capitalism as a worldwide economic system, and the concurrent forces of democracy surfacing with strength around the globe guarantee the continued significance of sample survey research as a means of gathering data and understanding the interests, concerns, and behavior of people everywhere.
There is a shortage of well-focused, easily understood, yet theoretically and methodologically sound treatments of the sample survey process. Existing texts are generally highly technical and can be appreciated and used only by experts, or they are overly descriptive and not conducive to the successful implementation of a sample survey research project. Furthermore, sample survey research is frequently treated as a relatively small component of broader books that focus on quantitative methods; this treatment is often insufficiently detailed to serve practitioners in their professional capacities.
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