Results 251 to 260 of about 22,854 (294)

Nonresponse Rates and Nonresponse Bias in Household Surveys

Public Opinion Quarterly, 2006
Many surveys of the U.S. household population are experiencing higher refusal rates. Nonresponse can, but need not, induce nonresponse bias in survey estimates. Recent empirical findings illustrate cases when the linkage between nonresponse rates and nonresponse biases is absent. Despite this, professional standards continue to urge high response rates.
Robert M. Groves
openaire   +2 more sources

Some of the next articles are maybe not open access.

Related searches:

Response and Nonresponse Bias in Oral Health Surveys

Journal of Public Health Dentistry, 2000
AbstractOral health surveys are undertaken to provide estimates of the dental health and behaviors of populations or population subgroups. However, the integrity of the data from sample surveys may be compromised by one or more sources of sampling and nonsampling error.
D Locker
exaly   +3 more sources

Survey Participation, Nonresponse Bias, Measurement Error Bias, and Total Bias

Public Opinion Quarterly, 2006
A common hypothesis about practices to reduce survey nonresponse is that those persons brought into the respondent pool through persuasive efforts may provide data filled with measurement error. Two questions flow from this hypothesis. First, does the mean square error of a statistic increase when sample persons who are less likely to be contacted or ...
Olson, Kristen M.
openaire   +3 more sources

Extreme nonresponse and response bias

Quality and Quantity, 2015
Ottar Hellevik
exaly   +2 more sources

Nonresponse Bias Adjustment in Regression Analysis

Journal of Statistical Theory and Practice, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fushiki, Tadayoshi, Maeda, Tadahiko
openaire   +2 more sources

Nonresponse Bias

Medical Care, 2002
Previous studies of nonresponders have not assessed the effects of nonresponse on the accuracy of clinician behavior measurements. Knowledge of these effects is critical to both research and quality improvement.To evaluate the hypothesis that nonresponders to a survey would not adversely affect the ability to measure rates of preventive services.Four ...
Leif I, Solberg, Mary, Beth Plane, Roger L, Brown, Gail, Underbakke, Patrick E, McBride   +4 more
openaire   +2 more sources

Testing for Nonresponse Bias

Evaluation Review, 1984
This article discusses two recent evaluations of utility energy conservation programs in which testsfor nonresponse bias were possible. In these evaluations, data were obtained both from the sponsoring utilities (fuel consumption records, energy audit reports) and from households (mail and telephone surveys).
Eric Hirst, Richard Goeltz
openaire   +1 more source

Nonresponse Bias in a Mail Survey of Physicians

Evaluation & the Health Professions, 2007
With the increased pressure on survey researchers to achieve high response rates, it is critical to explore issues related to nonresponse. In this study, the authors examined the effects of nonresponse bias in a mail survey of physicians ( N = 3,400). Because slightly more than one half of the sample did not respond to the survey, there was potential ...
Emily, McFarlane, Murrey G, Olmsted, Joe, Murphy, Craig A, Hill   +3 more
openaire   +2 more sources

Addressing Nonresponse Bias in Postal Surveys

Public Health Nursing, 2008
ABSTRACT Postal surveys are sometimes thought of as a simple option for collecting data in community‐based studies; however, nurse researchers must exercise care in appropriately addressing the issue of nonresponse. In particular, both the reporters and the users of such research should look beyond survey response rates when considering ...
Shannon E, MacDonald, Christine V, Newburn-Cook, Donald, Schopflocher, Solina, Richter   +3 more
openaire   +2 more sources

The Impact of Nonresponse Rates on Nonresponse Bias: A Meta-Analysis

Public Opinion Quarterly, 2008
Fifty-nine methodological studies were designed to esti- mate the magnitude of nonresponse bias in statistics of interest. These studies use a variety of designs: sampling frames with rich variables, data from administrative records matched to sample case, use of screening- interview data to describe nonrespondents to main interviews, followup of ...
R. M. Groves, E. Peytcheva
openaire   +1 more source