Felicia LeClere - Academia.edu (original) (raw)

Papers by Felicia LeClere

Working together on the National Survey of Family Growth, sponsored by NCHS, to create data and a... more Working together on the National Survey of Family Growth, sponsored by NCHS, to create data and an interactive codebook • Partnered on the Collaborative Psychiatric Epidemiology Surveys, sponsored by NIMH-This involved a harmonization of three datasets and interactive documentation featuring question comparison and five languageswww.icpsr.umich.edu/CPES

The volume of restricted use data files distributed by data archives and data producers has incre... more The volume of restricted use data files distributed by data archives and data producers has increased dramatically in the last 10 years. As data files become more complicated with the addition of georeferencing, biomarkers, and linked administrative records, and other information, disclosure risk has increased dramatically. The most popular solution for distributing highly confidential data is to issue legal restricted use contracts to users. The handling of confidential data and the distribution of restricted use contracts, however, have not kept pace with other developments in data distribution. In this paper, we will explore several linked initiatives at ICPSR designed to streamline the handling, processing, and distribution of restricted use data. This paper will report on our progress in redesigning the entire system of handling, processing, and distributing confidential data. Our internal data processing steps will include segregating and streamlining data handling for confide...

Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF)... more Survey researchers have recently begun using the U.S. Postal Service Delivery Sequence File (DSF) as a sampling frame. In addition to address, the DSF contains ancillary data regarding the status and structure of the address. These ancillary data may prove useful in further enhancing frame construction and sampling methodologies. We review three variables on the DSF: the vacancy flag, the college flag, and the drop point indicator. We conclude that the ancillary information available on the DSF may be used with caution. Despite the limitations, the flags may be used to enhance the current frame.

Selecting the mode of data collection is one of the earliest and most important decisions to be m... more Selecting the mode of data collection is one of the earliest and most important decisions to be made in planning for any survey. Many factors play a role in selecting the best mode or modes to meet particular project objectives, such as population coverage and nonresponse, speed of completion, and cost. With the decline in response rates and rise of survey costs, more surveys are adopting multi-mode designs. This study investigates a method of using telephone match information and sample line flags to choose an optimal mode for beginning data collection in a multi-mode survey. In this study, addresses from a subset of cases from the Racial and Ethnic Approaches to Community Health Across the U.S. Risk Factor Survey (REACH U.S.), a multi-mode ABS survey, are matched to telephone numbers by four vendors. Address and match characteristics are used to build logistic regression models predicting sample productivity in the telephone mode. These models are designed to enhance project and sample planning and steer initial mode decisions toward those that maximize yields in the telephone mode (while sending cases unlikely to be productive to other modes). Useful predictors include building type, own/rent status, vacancy flag, metropolitan statistical area designation, the identity of vendors returning matches, and the number of vendors returning identical and discrepant matches. Addition of the first dial outcome also substantially improved the fit of the model. We discuss how these models can be customized to meet the needs of particular organizations and projects.

PsycEXTRA Dataset

National estimates of average annual health indexes for the civilian noninstitutionalized populat... more National estimates of average annual health indexes for the civilian noninstitutionalized population of the United States are presented in this report according to selected socioeconomic characteristics of the family. These estimates are based on data from the National Health Interview Survey (NHIS) in 1988, 1989, and 1990. Health indexes presented include percent limited in activity; percent with fair or poor respondent-assessed health status, restricted activity days, bed disability days, work-loss days, and school-loss days; percent with a physician contact in past year; numbers of annual physician contacts per person per year; percent with a hospital episode in the past year; days per short-term hospital stay; and incidence of acute conditions. This report includes the findings that persons living by themselves reported a higher percent of limitations in activity, high rates of disability days, more physician contacts per year, and a higher incidence rate from acute conditions than all persons 45-64 years of age. Persons in all four age groups reported higher percents with limitations of activity and higher percents with fair or poor health status in families in which the educational level of the responsible family adult member was less the 12 years than in families where the responsible adult was better educated. Both males and females, and white persons and black persons, in each of the age groups 18 years and over who were living with a spouse reported lower percents of limitations in activity than did persons living in other family relationships.

Public Opinion Quarterly, 2015

As address-based sampling becomes increasingly popular for multimode surveys, researchers continu... more As address-based sampling becomes increasingly popular for multimode surveys, researchers continue to refine data-collection best practices. While much work has been conducted to improve efficiency within a given mode, additional research is needed on how multimode designs can be optimized across modes. Previous research has not evaluated the consequences of mode sequencing on multimode mail and phone surveys, nor has significant research been conducted to evaluate mode sequencing on a variety of indicators beyond response rates. We conducted an experiment within the Racial and Ethnic Approaches to Community Health across the U.S. Risk Factor Survey (REACH U.S.) to evaluate two multimode case-flow designs: (1) phone followed by mail (phone-first) and (2) mail followed by phone (mail-first). We compared response rates, cost, timeliness, and data quality to identify differences across case-flow design. Because surveys often differ on the rarity of the target population, we also examined whether changes in the eligibility rate altered the choice of optimal case flow. Our results suggested that, on most metrics, the mail-first design was superior to the phone-first design. Compared with phone-first, mail-first achieved a higher yield rate at a lower cost with equivalent data quality. While the phone-first design initially achieved more interviews compared to the mail-first design, over time the mailfirst design surpassed it and obtained the greatest number of interviews.

Background. Differences in smoking behaviors between menthol vs. non-menthol smokers are not well... more Background. Differences in smoking behaviors between menthol vs. non-menthol smokers are not well known; socioeconomic gradients--less harmful smoking behaviors with each level of increase in socioeconomic position--according to cigarette choice have not been systematically examined overall or for specific gender and racial/ethnic groups. Methods. Data from the 2005 National Health Interview Survey and Cancer Control Supplement were used to examine smoking behaviors by cigarette choice among Black, Hispanic, and White women and men aged 25-64. For each group, stratified by income or education, we examined (1) proportion of menthol smokers (comparing current and former smokers); (2) age of initiation, cigarettes smoked per day, and quit attempt in the past year (comparing menthol and non-menthol current smokers); and (3) time since quitting (comparing menthol and non-menthol former smokers). Results. The results do not support the hypothesis that menthol smokers initiate earlier, smo...

Advance data, Jan 13, 1997

This report presents data on annual estimates of the prevalence of use of selected assistive tech... more This report presents data on annual estimates of the prevalence of use of selected assistive technology devices for vision, hearing, mobility, and orthopedic impairments, including missing limbs. Also presented are statistics on trends in the prevalence of use of selected mobility assistive technology devices for the years 1980, 1990, and 1994. The data used for this report are from the 1994 National Health Interview Survey on Disability (NHIS-D), Phase I, which was co-sponsored by a consortium of U.S. Federal agencies and private foundations. All estimates are based on data from the NHIS-D, Phase I, which represent the civilian, noninstitutional population of the United States. An estimated 7.4 million persons in the U.S. household population used assistive technology devices for mobility impairments, 4.6 million for orthopedic impairments (including missing limbs), 4.5 million for hearing impairments (not including impairments fully compensated by hearing aids), and 0.5 million fo...

Advance data, Jan 24, 1992

Drop points are a challenging component of the United States Postal Service's Delivery Sequence F... more Drop points are a challenging component of the United States Postal Service's Delivery Sequence File (DSF) with respect to survey research. Drop points occur when there is a single mail receptacle serving multiple units, resulting in no designation between units. This lack of unit identifier impedes mail or phone contact. NORC conducted a limited field study of drop points in 2011, which showed that they are often geographically clustered. Additionally, buildings containing drop point units tend to be similar in structure to neighboring buildings without drop points. At question is whether or not individuals living in drop points are different from residents at non-drop point addresses. This paper attempts to determine if the presence of drop points on the DSF creates coverage bias and whom we would be missing if we eliminate drop points from the sampling frame.

Population Research and Policy Review, 1997

Married women who migrate with their families experience relative earnings losses after migration... more Married women who migrate with their families experience relative earnings losses after migration. In this study, we use data from the 1987 Wave of the Panel Study of Income Dynamics to explicitly examine the relative importance of three sources of those losses: labor force participation, hours of labor supplied, and wages. We estimate earnings models with Heckman's sample selection method

Sociological Forum, 2003

Despite the persistent inverse relationship between family income and mortality, no one has exami... more Despite the persistent inverse relationship between family income and mortality, no one has examined the effect of distinct income sources or income portfolios on mortality risk. We link the National Health Interview Survey to the Multiple Cause of Death file and use hazard models to examine income-related mortality across four age groups. Income from jobs, self-employment, interest, and dividends each

Social Science & Medicine, 1999

This is a cross-sectional study using records from the National Health Interview Survey linked to... more This is a cross-sectional study using records from the National Health Interview Survey linked to Census geography. The sample is restricted to white males ages 25±64 in the United States from three years (1989±1991) of the National Health Interview Survey. Perceived health is used to measure morbidity. Individual covariates include income-to-needs ratio, education and occupation. Contextual level measures of income inequality, median household income and percent in poverty are constructed at the US census county and tract level. The association between inequality and morbidity is examined using logistic regression models. Income inequality is found to exert an independent adverse eect on self-rated health at the county level, controlling for individual socioeconomic status and median income or percent poverty in the county. This corresponding eect at the tract level is reduced. Median income or percent poverty and individual socioeconomic status are the dominant correlates of perceived health status at the tract level. These results suggest that the level of geographic aggregation in¯uences the pathways through which income inequality is actualized into an individuals' morbidity risk. At higher levels of aggregation there are independent eects of income inequality, while at lower levels of aggregation, income inequality is mediated by the neighborhood consequences of income inequality and individual processes.

Rural Sociology, 2010

Previous research on the effects of urbanization on farming and farm families has focused on the ... more Previous research on the effects of urbanization on farming and farm families has focused on the consequences of urban expansion on farming practice rather than on the well‐being of farm families. Proximity to urban areas has been found to alter the way farm families utilize the nonfarm labor market. In this study, the off‐farm earnings of husbands and wives in farm families are compared across metropolitan (metro) and nonmetropolitan (nonmetro) areas using data from the March supplement to the 1989 Current Population Survey. Censored regression models (tobit) and decomposition are used to demonstrate the effects of nonfarm labor market differences on off‐farm labor force participation and earnings. The analysis reveals that farm family members, as expected, have significantly higher rates of participation and earnings in metropolitan areas. But this analysis also reveals that increases in off‐farm participation are likely to have a larger effect on total off‐farm earnings in nonmet...

Journal of Epidemiology & Community Health, 2001

International Journal of Epidemiology, 2010

Background Literature on the socioeconomic 'gradient' in health often asserts that income is asso... more Background Literature on the socioeconomic 'gradient' in health often asserts that income is associated with better health not only for the very poor, but also across the entire income distribution. In addition, changes in the shape of the association between incomes during a period of increasing economic inequality have not been previously studied. The goal of the current study was to estimate and compare the shape of the relationship between income and mortality in the USA for the 1970s, the 1980s and the 1990s. Methods Using income and mortality data from the Panel Study of Income Dynamics for respondents aged 35-64 years, we used a Bayesian Cox Model with regression splines to model the risk of mortality over three 10-year follow-up periods. To identify whether income was more strongly associated with mortality at different parts of the income distribution, we treated income as a linear spline with an unknown knot location. Results The shape of the association between income and mortality was quite non-linear, with a much stronger association at lower levels of income. The relationship between income and mortality in the USA was also not invariant across time, with the increased risk of death associated with lower income applying to an increasing proportion of the US population over time (9th percentile of income in 1970-79, 20th percentile in 1980-89 and 32nd percentile in 1990-99). Conclusions Our analyses do not support the claim that income is associated with mortality throughout the income distribution, nor is the association between income and mortality the same across periods. Based on our analyses, a focus on the bottom 30% of the income distribution would seem to return the greatest benefits in reducing socioeconomic inequalities in health.