An alternative measure of response rate in random-digit-dialing surveys that screen for eligible subpopulations

2000 ◽  
Vol 26 (2) ◽  
pp. 99-109 ◽  
Author(s):  
Trena M. Ezzati-Rice ◽  
Martin R. Frankel ◽  
David C. Hoaglin ◽  
John D. Loft ◽  
Victor G. Coronado ◽  
...  
Keyword(s):  
Response Rate ◽  
Alternative Measure ◽  
Random Digit Dialing ◽  
Random Digit

Feasibility and Utility of Multi-Mode Data Collection in Random-Digit Dialing Cellphone Surveys For Young Adults: Evidence From a Survey Experiment (Preprint)

2021 ◽  
Author(s):  
Daniel Alexander Gundersen ◽  
Jonathan Wivagg ◽  
William J Young ◽  
Ting Yan ◽  
Cristine D Delnevo
Keyword(s):  
Young Adults ◽  
Data Collection ◽  
Cigarette Smoking ◽  
Mixed Mode ◽  
Smoking Prevalence ◽  
Response Rate ◽  
Single Mode ◽  
Web Survey ◽  
Random Digit Dialing ◽  
Random Digit

BACKGROUND Young adults’ early adoption of new cellphone technologies have created challenges to survey recruitment but offer opportunities to combine traditional random-digit dialing (RDD) sampling with web-mode data collection. The National Young Adult Health Survey (NYAHS) was designed to test the feasibility of this methodology. OBJECTIVE (1) Compare response rates across telephone- and web-modes, (2) assess sample representativeness, (3) examine the impact of sampling design and sample weighting on statistical precision, and (4) compare cigarette smoking prevalence to a gold standard national survey. METHODS The sampling frame was randomized to: (1) single-mode telephone interviews, (2) telephone to web sequential mixed mode, and (3) single-mode web survey, and 831 young adults (18-34 years) were recruited via RDD at baseline. A soft-launch was conducted prior to main-launch. We compared web-mode to pooled single-mode telephone and mixed-mode (telephone-mode) on the American Association for Public Opinion Research (AAPOR) response rate 3 (RR3) and for the screening (S-RR3) and extended surveys (E-RR3). Base-weighted demographic distributions were compared to the American Community Survey (ACS). Telephone- and web-mode samples were pooled and calibrated to the ACS to calculate design effects (DEFF) and compare cigarette smoking prevalence to the National Health Interview Survey (NHIS). Consistency of estimates was judged by overlap of 95% confidence intervals (CI). RESULTS RR3 was higher in telephone- than web-mode (24% and 30% vs. 6.1% and 12.5% for soft- and main-launch, respectively), which was reflected in S-RR3 and E-RR3. The telephone-mode over-represented men (57.1% vs. 50.9%) and those enrolled in college (40.3% vs. 23.8%) and under-represented those with a BA/BS+ (34.4% vs. 55%). The web-mode over-represented white, non-Latinos (70.7% vs. 54.4%) and those with some college (30.4% vs. 7.6%) and under-represented Latinos (13.6% vs. 20.7%) and those with a HS/GED (15.3% vs. 29.3%). The DEFF was 1.29 (subpopulation range: 0.96 to 1.90). The NYAHS cigarette smoking prevalence was consistent with NHIS overall (15%, CI 12.4% to 18% vs. 13.5%, CI 12.3% to 14.7%), with notable deviation among 18 to 24 year-olds (15.6%, CI 11.3% to 22.2% vs. 8.7%, CI 7.1% to 10.6%), and those with <BS/BA as highest level of education (24%, CI 19.3% to 29.4% vs. 17.1%, CI 15.6% to 18.7%). CONCLUSIONS RDD sampling for a web survey is not feasible for young adults due to its low response rate. However, combining this methodology with RDD telephone surveys may have great potential for including media and collecting auto-photographic data in population surveys

Profiling Victims of Investment Fraud: Mindsets and Risky Behaviors

2019 ◽  
Vol 46 (5) ◽  
pp. 904-914 ◽  
Author(s):  
Marguerite Deliema ◽  
Doug Shadel ◽  
Karla Pak
Keyword(s):  
Telephone Survey ◽  
Investment Decision ◽  
Risky Behaviors ◽  
Male Victims ◽  
Random Digit Dialing ◽  
Random Digit ◽  
Investment Decision Making ◽  
Investment Returns ◽  
Stock Traders ◽  
Investment Fraud

Abstract Millions of Americans are targeted by investment scams, resulting in billions of dollars lost each year. Previous research indicates that investment fraud victims are more likely to be male, white, and married, and to have higher socioeconomic status compared to the general US population, but little research examines what behaviors and mindsets differentiate them from other investors. A telephone survey was administered to 214 investment fraud victims and 813 general investors recruited using random digit dialing. Based on the opportunity model of predatory victimization, the aim was to identify differences in investment behaviors and psychological mindsets that may affect exposure to investment scams and make individuals more attractive and susceptible targets. In addition to being older and male, victims were more materialistic than general investors and were more frequent stock traders, and purchased more investments sold through unsolicited calls, emails, television advertisements, or “free lunch” seminars, but were less likely to invest based on a social network member’s recommendation. As more retirees begin to take on managing their retirement assets, many may be tempted by unreasonable investment returns promised by unscrupulous brokers. Findings point to specific areas where investor education is needed to counteract poor investment decision-making and risky mindsets.

scholarly journals The Sampling Bias in Random Digit Dialing

1988 ◽  
Vol 11 (3) ◽  
pp. 44
Author(s):  
A. Dianne Schmidley
Keyword(s):  
Sampling Bias ◽  
Random Digit Dialing ◽  
Random Digit

The Sampling Bias in Random Digit Dialing

Random Digit Dialing: A Comparison of Methods

1985 ◽  
Vol 14 (4) ◽  
pp. 36-43 ◽  
Author(s):  
Madhav N. Segal ◽  
Firooz Hekmat
Keyword(s):  
Comparison Of Methods ◽  
Random Digit Dialing ◽  
Random Digit

Comparison of Control Subjects Recruited by Random Digit Dialing and Area Survey

1994 ◽  
Vol 140 (7) ◽  
pp. 643-648 ◽  
Author(s):  
Chitra Lete ◽  
Elizabeth A. Holly ◽  
Diane S. Roseman ◽  
David B. Thomas
Keyword(s):  
Control Subjects ◽  
Random Digit Dialing ◽  
Random Digit ◽  
Area Survey

Evaluation of Random Digit Dialing as a Method of Control Selection in Case–Control Studies

1992 ◽  
Vol 135 (2) ◽  
pp. 210-222 ◽  
Author(s):  
Sara H. Olson ◽  
Jennifer L. Kelsey ◽  
Thomas A. Pearson ◽  
Bruce Levin
Keyword(s):  
Case Control ◽  
Case Control Studies ◽  
Random Digit Dialing ◽  
Random Digit ◽  
Control Selection

Interviewer Costs Associated with the use of Random Digit Dialing in Large Area Samples

1980 ◽  
Vol 44 (3) ◽  
pp. 65-69
Author(s):  
William Lyons ◽  
Robert F. Durant
Keyword(s):  
Sample Selection ◽  
Selection Method ◽  
Extra Cost ◽  
Large Area ◽  
Random Digit Dialing ◽  
Random Digit

This study focuses upon the amount of extra interviewer expense incurred by using a Random Digit Dialing as opposed to a directory-based sample selection method in large area residential surveys. A formula is developed for estimating this extra cost given the expected parameters of a future survey.

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