Social or behavioral scientist needed to join a research team at Stanford, UC Santa Barbara, UC Berkeley, and the University of Virginia on an exciting study of replication in science. This project has been underway for 5 years and involves conducting new experiments multiple times at multiple universities to determine how readily the same findings are obtained when conducting the same study repeatedly.
At present, most data have been collected, and we need to add to the project staff by bringing on a person with experience collecting and statistically analyzing social or behavioral science data. The tasks for this person will involve participating in the process of gathering, cataloguing, and harmonizing datasets collected by the various research sub-teams. Thus, the initial activities will be what is often called data management - using survey questionnaire programming and raw datasets to create new integrated datasets with all variables coded in the same ways and properly labeled, suitable for statistical analysis.
Put differently, the work involves converting data stored in different formats to a common format, merging data into larger data sets, and adding data definitions to merged files. Statistical analyses of the merged data sets will also be conducted and compared to results from the individual data sets to verify data processing accuracy. For each merged data set, a users guide will be created that describes the data file structure and data definitions.
The deliverables include: (1) 20 merged data files, each of which will contain data from five separate studies, (2) 20 tables, each of which compares statistical results from the five merged studies to the original statistical results for those studies, and (3) a separate users guide for each merged data set.
Later phases of the project will involve substantive statistical analysis of the data using sophisticated techniques and writing manuscripts for peer review publications.
Desirable skills include a PhD or equivalent training in the social or behavioral sciences and experience collecting and analyzing large quantitative datasets.
The position can be 40 hours per week or part time, no less than 30 hours per week if possible. Hourly rate is negotiable.
To apply, please send a CV and a cover letter describing relevant training and background, send along transcripts showing relevant courses taken, and send along publications or manuscripts (if you have them) demonstrating your skills and experiences.
About the recuiterMember since May 20, 2018 See Marry
from Virginia, United States
Candidate shortlisted and hiredHiring open till - Jan 11, 2021
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