Under the guidance of the principal investigators, the Statistical Data Research Assistant uses SPSS software to code and analyze test data collected in the PSC-CUNY Research Award-funded study “The Effect of Flipped Classroom Information Literacy Instruction on Student Learning.” During this project, multiple choice and short-answer pre- and post-tests were given to students in classes conducted with either flipped or lecture methodology with the goal of assessing learning in each type of class.
Required qualifications:
The research assistant:
- is proficient in SPSS software to code, tabulate, analyze and validate data;
- is proficient in office productivity software (MS Excel, Word, Powerpoint)
- is able to follow oral and written instructions;
- is self motivated, organized and detail-oriented;
- is able meet deadlines and make progress without direct supervision;
- is able to handle and protect confidential data.
Preferred qualifications:
- Experience analyzing data in SPSS as part of social science research project.
- Significant coursework in statistics.
- Significant graduate coursework in the social sciences, especially sociology, library and information sciences, education, or instructional technology.
- has completed basic training in the protection of human subjects (available at: http://www.cuny.edu/research/compliance/training-education/citi-training.html)
Responsibilities
- Enter data (responses to multiple choice and short answer tests) in SPSS according to established code tables.
- Assist in developing statistically valid research queries to analyze data in SPSS in collaboration with principal investigators.
- Produce tables and charts, write analytical summaries of research results.
Details
- Wages: $25-30/hour, commensurate with experience.
- 10-19 hours per week (for a total of approximately 70 hours).
- On site at the Leonard Lief Library, Lehman College, Bronx, with some off-site work possible.
- Work to be performed October 15 – December 15, 2015.
To apply for the position, please send a cover letter and curriculum vitae to Prof. Madeline Cohen ([email protected]) and Prof. Jennifer Poggiali ([email protected]). Review of applications will begin on August 31, 2015.
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