The Occupational Requirements Survey: estimates from preproduction testing

2015 ◽  
Author(s):  
Nicole Dangermond
Keyword(s):  
2019 ◽  
Vol 3 (4) ◽  
Author(s):  
J Michael Brick ◽  
Andrew Caporaso ◽  
Douglas Williams ◽  
David Cantor

Decisions on public policy can be affected if important segments of the population are systematically excluded from the data used to drive the decisions. In the US, Spanishspeakers make up an important subgroup that surveys conducted in English-only underrepresent. This subgroup differs in a variety of characteristics and they are less likely to respond to surveys in English-only. These factors lead to nonresponse biases that are problematic for survey estimates. For surveys conducted by mail, one solution is to include both English and Spanish materials in the survey package. For addresses in the US where Spanish-speakers are likely to be living, this approach is effective, but it still may omit some non-English-speakers. Traditionally, including both English and Spanish materials for addresses not identified as likely to have Spanish-speakers was considered problematic due to concerns of a backlash effect. The backlash effect is that predominantly English-speakers might respond at a lower rate because of the inclusion of Spanish materials. Prior research found no evidence of a backlash, but used a twophase approach with a short screener questionnaire to identify the eligible population for an education survey. In this paper, we report on experiments in two surveys that extend the previous research to criminal victimization and health communication single-phase surveys. These experiments test the effect of the inclusion of Spanish language materials for addresses not identified as likely to have Spanish-speakers. Our findings confirm most results of the previous research; however we find no substantial increase in Spanish-only participation when the materials are offered in both languages for addresses that are not likely to have Spanish-speakers. We offer some thoughts on these results and directions for future research, especially with respect to collecting data by the Internet.


2017 ◽  
Vol 49 (1) ◽  
pp. 193-215 ◽  
Author(s):  
Bettina Müller ◽  
Laura Castiglioni

In the context of cross-sectional surveys, the scope of research on the impact of response enhancing strategies on sample composition and nonresponse bias is vast. This topic has rarely been addressed for panel studies, however, although these are becoming an increasingly important data source in social research. In this article, we evaluate the impact of reissuing wave nonrespondents on sample composition and survey estimates in the German Family Panel pairfam. In light of concerns about an adequate representation of life changes in panel studies, we focus on whether temporary dropouts improve sample composition in this respect: Using retrospective information from these cases provided at reentry, we approximate the impact of “lost” reports of life changes due to attrition. Our analysis reveals that the inclusion of temporary dropouts does increase sample variability regarding life changes. However, example analyses indicate that substantive conclusions would not be compromised if temporary dropouts were excluded.


2018 ◽  
Vol 53 (4) ◽  
pp. 470-476 ◽  
Author(s):  
William C Kerr ◽  
Edwina Williams ◽  
Yu Ye ◽  
Meenakshi Sabina Subbaraman ◽  
Thomas K Greenfield

ILR Review ◽  
2021 ◽  
pp. 001979392110638
Author(s):  
William A. Darity ◽  
Darrick Hamilton ◽  
Samuel L. Myers ◽  
Gregory N. Price ◽  
Man Xu

Racial differences in effort at work, if they exist, can potentially explain race-based wage/earnings disparities in the labor market. The authors estimate specifications of time spent on non-work activities at work by Black and White males and females with data from the American Time Use Survey. Estimates reveal that trivially small differences occur between non-Hispanic Black and non-Hispanic White males in time spent not working while on the job that disappear entirely when correcting for non-response errors. The findings imply that Black–White male differences in the fraction of the workday spent not working are either not large enough to partially explain the Black–White wage gap, or simply do not exist at all.


Author(s):  
Arne Johannes Holmin ◽  
Erik A Mousing ◽  
Solfrid S Hjøllo ◽  
Morten D Skogen ◽  
Geir Huse ◽  
...  

Abstract Fisheries independent surveys support science and fisheries assessments but are costly. Evaluating the efficacy of a survey before initiating it could save costs. We used the NORWECOM.E2E model to simulate Northeast Atlantic mackerel and Norwegian spring spawning herring distributions in the Norwegian Sea, and we ran vessel transects in silico to simulate acoustic-trawl surveys. The simulated data were processed using standard survey estimation software and compared to the stock abundances in the ecosystem model. Three existing real surveys were manipulated to demonstrate how the simulation framework can be used to investigate effects of changes in survey timing, direction, and coverage on survey estimates. The method picked up general sources of biases and variance, i.e. that surveys conducted during fish migrations are more vulnerable in terms of bias to timing and changes in survey direction than during more stationary situations and that increased effort reduced the sampling variance.


2019 ◽  
Vol 47 (4) ◽  
pp. 469-473 ◽  
Author(s):  
Hanna Tolonen ◽  
Miika Honkala ◽  
Jaakko Reinikainen ◽  
Tommi Härkänen ◽  
Pia Mäkelä

Aim: We aim to compare four different weighting methods to adjust for non-response in a survey on drinking habits and to examine whether the problem of under-coverage of survey estimates of alcohol use could be remedied by these methods in comparison to sales statistics. Method: The data from a general population survey of Finns aged 15–79 years in 2016 ( n=2285, response rate 60%) were used. Outcome measures were the annual volume of drinking and prevalence of hazardous drinking. A wide range of sociodemographic and regional variables from registers were available to model the non-response. Response propensities were modelled using logistic regression and random forest models to derive two sets of refined weights in addition to design weights and basic post-stratification weights. Results: Estimated annual consumption changed from 2.43 litres of 100% alcohol using design weights to 2.36–2.44 when using the other three weights and the estimated prevalence of hazardous drinkers changed from 11.4% to 11.4–11.8%, correspondingly. The use of weights derived by the random forest method generally provided smaller estimates than use of the logistic regression-based weights. Conclusions: The use of complex non-response weights derived from the logistic regression model or random forest are not likely to provide much added value over more simple weights in surveys on alcohol use. Surveys may not catch heavy drinkers and therefore are prone for under-reporting of alcohol use at the population level. Also, factors other than sociodemographic characteristics are likely to influence participation decisions.


1993 ◽  
Vol 2 (3) ◽  
pp. 183-207 ◽  
Author(s):  
Richard Block

Comparison of national crime surveys must be made very cautiously because of differences in sampling, methodology and content. In this report methodological differences between the United States' National Crime Survey and victimization surveys of other countries are examined and survey estimates of victimization are adjusted. It is found that U.S. rates of assault/threat, robbery, and burglary are not extraordinarily higher than those of other eleven other countries or regions. However, U.S. levels of gun use are much higher and U.S. levels of both gun and non-gun lethal violence (using Killias, 1990) far exceed those of other industrialized societies.


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