How to Apply
A cover letter is required for consideration for this position and should be attached as the first page of your resume. In order to receive serious consideration, the cover letter should clearly describe the applicant’s interest in the position and skills and experience that are relevant to the required and desired qualifications described in this posting. Salary is competitive based on previous experience and qualifications.
The Panel Study of Income Dynamics (PSID) is a household panel survey that has collected economic, social, and demographic data on U.S. families since 1968. PSID is based in the Survey Research Center (SRC) at the Institute for Social Research (ISR), University of Michigan. A central mission of PSID is to provide the research community of economists, sociologists, demographers, psychologists, and other social and behavioral scientists with innovative, high-quality, and well-documented data.
The PSID Child Development Supplement (CDS) is a major data collection supplement to PSID that focuses on children’s development and health within the family, school, and neighborhood context. In 2019, a new round of CDS will be fielded that builds on the experience of conducting the original CDS on a cohort of PSID children across three rounds of data collection from 1997 to 2007 and the new, on-going CDS that was launched in 2014 and collects data on all children in PSID families every 5–6 years.
PSID seeks to hire a staff member who will provide senior-level day-to-day management of CDS-2019 over all phases of the project—from questionnaire development and fieldwork planning activities, to overseeing the collection of data and monitoring of data quality and response rates, and to preparing documentation and disseminating CDS-2019 data to the scientific research community. This staff member will also provide support to the PSID project in the areas of data management, advanced statistical analysis, and writing of scientific articles based on data from PSID, CDS, other PSID supplements such as the Transition into Adulthood Supplement (TAS), and other major social and behavioral science data sets.
Major areas of responsibilities include but are not limited to:
Provide day-to-day management of CDS-2019 in collaboration with the Principal Investigators over all phases of the project. Participate in the planning and design of the questionnaire instruments, fieldwork operations, and data processing, documentation, and release. Work with CDS investigators and other PSID project staff to develop, test, and refine the CDS-2019 questionnaire instruments.
Work closely with staff at the SRC Survey Research Operations unit to design and oversee plans for pretesting questionnaire instruments and for conducting fieldwork for the main CDS study, to monitor budgets and costs, and to identify and resolve any problems that occur during fieldwork. Provide guidance and direction for the processing and enhancement of the CDS-2019 data. Develop documentation of data files for internal and external use, including web-based codebooks, user guides, and other materials.
Using SAS or Stata, provide high-level statistical analysis and programming support for research using complex longitudinal social science survey data such as PSID, CDS, and TAS. Prepare analysis files and extracts, assess data quality, clean data, and impute missing data. Conduct advanced statistical analyses of survey data in collaboration with the research team. Review and evaluate analytic results and make recommendations for next steps. Participate in the preparation of research articles, technical reports, and grant proposals.
Assist the PSID project in other areas as needed, which may include but is not be limited to user education, support, and outreach. Activities may include writing tutorials to instruct users about how to create and analyze data; assist with user help; compile information about protocols and instruments used in other similar studies; conduct literature reviews; present results at meetings and conferences; and teach new users how to use the data effectively.
Master’s degree in sociology, demography, psychology, or in a recognized field of science or learning which is related to the duties of the position;
Five to six years of experience in designing and overseeing data collection for longitudinal social science surveys on children, adolescents, or young adults including:
- Experience designing, testing, and refining questionnaire instruments for surveys.
- Experience in the management and processing of longitudinal social science survey data and the statistical analysis of complex survey data.
- Experience with advanced statistical modeling techniques.
- Experience with a variety of statistical analysis techniques such as structural equation models, regression models, and survival analysis.
- Knowledge of major social and behavior science surveys on children and families.
- Demonstrated ability to understand complex topics related to sample design, sampling, eligibility, and survey following rules.
- Ability to quickly master new processes, procedures, and computer programs.
- Ability to work successfully in a team environment.
- Excellent interpersonal skills.
- Excellent communication skills.
- Motivated and highly attentive to detail.
- Ph.D. degree in a relevant social or behavioral science discipline.
- More than five years of prior experience with social science survey research and quantitative data analysis.
- Demonstrated experience in the design and implementation of social or behavioral surveys focusing on child and adolescent development and the processing and editing of longitudinal survey data.
- Demonstrated proficiency using SAS, Stata, R, or similar statistical software for data management and data analysis.
- Substantive research interest and scientific expertise in the area of children and families.
The Institute for Social Research at the University of Michigan seeks to recruit and retain a diverse workforce as a reflection of our commitment to serve the diverse people of Michigan, to maintain the excellence of the university, and to ground our research in varied disciplines, perspectives, and ways of knowing and learning.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.