UCI

1992 Orange County Annual Survey
University of California, Irvine

Executive Summary
Introduction
Survey Methodology

Home

Jobs and the Economy
Most Important Problem
The Orange County Economy
Personal Finances
Consumer Confidence
Local Industries

Tracking Questions
County Perceptions
Satisfaction with Freeways
Transportation
Growth and Development
The Environment
Reducing Solo Driving
Housing Costs
Charitable Giving
Political Climate

Conclusions

Appendices
Faculty and Staff
Financial Contributors
Steering Committee
Advisory Committee
1992 Survey and Output

University of California, Irvine
© 1992 UC Regents

Methodology

The Orange County Annual Survey, UCI was co-directed by Mark Baldassare, professor and chair of urban and regional planning and, and Cheryl Katz, research associate. The random telephone survey included 1,012 Orange County adult residents interviewed from August 26 to September 2. We follow the methodology used in the 10 previous surveys.

Interviewing was conducted on weekend days and weekday nights, using a computer-generated random sample of telephone numbers. Within a household, adult respondents were randomly chosen for interview. Each interview included 93 questions and took an average of 20 minutes to complete. The interviewing was conducted in English and Spanish, as needed.

The completion rate for the survey was 64 percent. This rate is consistent with earlier Orange County Annual Surveys. Of the telephone numbers called, 21 percent resulted in completed interviews and 11 percent were refusals. The field work was conducted by Interviewing Services of America of Van Nuys, CA.

For analysis, we statistically weighted the sample to represent the actual regional distribution of Orange County residents, as has been done in previous surveys. The 1990 U.S. Census population figures by city were reviewed for this purpose.

The sampling error for this survey is +/- 3 percent at the 95 percent confidence level. This means that 95 times out of 100, the results will be within 3 percentage points of what they would be if all adults in Orange County were interviewed. The sampling error for any subgroup would be larger. Sampling error is just one type of error to which surveys are subject. Results may also be affected by question wording, survey timing and survey design.