Marcus E Berzofsky

Biographic Data

ID174664
NAMEMarcus E Berzofsky
GIVEN NAMESMarcus E
FAMILY NAMEBerzofsky
SIGNATUREBERZOFSKY M E
AFFILIATIONSRTI International, Research Triangle Park, NC, USA
VERIFIEDNo
TOTAL WORKS4
TOTAL CITATIONS6
AUTHOR COUNT4
EDITOR COUNT0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2021
H-INDEX2

  • Examining the Impact of a Survey’s Email Timing on Response Latency, Mobile Response Rates, and Breakoff Rates

    Open AccessAshley K Griggs, Amanda C Smith et al.ARTICLECAM2021References: 12

    The proportion of web survey responses submitted from mobile devices such as smartphones is increasing steadily. This trend presents new methodological challenges because mobile responses are often associated with increased breakoffs, which, in turn, can increase nonresponse bias. Using data from a survey of college students with more than 20,000 respondents, response patterns are examined to identify which days and times the survey invitation an…

  • The Impact of Greeting Personalization on Prevalence Estimates in a Survey of Sexual Assault Victimization

    Open AccessAshley K Griggs, Marcus E Berzofsky et al.ARTICLEPublic Opinion Quarterly2018Cited by: 3References: 12

    Although personalized invitations tend to increase response rates in web surveys, little is known about how personalization impacts data quality. To evaluate the impact of personalization on survey estimates of sensitive items, the effects of personalized and generic greetings in a survey (n = 9,673) on an extremely sensitive topic—sexual assault victimization—were experimentally compared. Personalization was found to have increased response rate…

  • Are Survey Weights Needed? A Review of Diagnostic Tests in Regression Analysis

    K A Bollen, Paul P Biemer et al.ARTICLEAnnual Review of Statistics and…2016

    Researchers apply sampling weights to take account of unequal sample selection probabilities and to frame coverage errors and nonresponses. If researchers do not weight when appropriate, they risk having biased estimates. Alternatively, when they unnecessarily apply weights, they can create an inefficient estimator without reducing bias. Yet in practice researchers rarely test the necessity of weighting and are sometimes guided more by the curren…

  • Local Dependence in Latent Class Analysis of Rare and Sensitive Events

    Open AccessMarcus E Berzofsky, Marcus Berzofsky et al.ARTICLESociological Methods & Research2014Cited by: 3References: 15

    For survey methodologists, latent class analysis (LCA) is a powerful tool for assessing the measurement error in survey questions, evaluating survey methods, and estimating the bias in estimates of population prevalence. LCA can be used when gold standard measurements are not available and applied to essentially any set of indicators that meet certain criteria for identifiability. LCA offers quality inference, provided the key threat to model val…