UNH Rigor and Reproducibility Guide
The goal of the Data Science Core (DSC) is to integrate bioinformatics, statistics, and data science resources across UNH, and the state of New Hampshire through our NH-INBRE partners to build capacity in Data Science by providing access to the expertise, infrastructure, and training necessary for modern research. The DSC is a Service Center with mechanisms for both collaborative and fee-for-service models and will work with investigators to find a solution that fits their needs and budget.
Services include:
>> Consultation for proposal development, experimental design, and creation of Data Management Plans
>> Direct support services in statistical analysis and bioinformatic analysis
Other questions? Contact Kelley Thomas
UNH Statistical Consulting Service -- Department of Mathematics and Statistics
The UNH Statistical Consulting Service (UNH SCS) is a graduate student-run group supported by professors in the UNH Mathematics and Statistics department that aims to strength research at UNH and in its community through cross-disciplinary collaboration.
Assistance is provided for:
- Data collection strategies
- Data cleaning
- Experimental Design and sample-size determination
- Predictive analytics
- Data visualization
- Model selection
- Assistance statistical software
- Model output interpretation
- Survey analysis
Web Resources
This online, interactive tool allows researchers to learn about the National Center for Education Statistics (NCES) data products across the education spectrum and evaluate them for suitability for particular research purposes. There are two types of NCES DLDT modules that are available: common modules and survey-specific modules.
The common modules help researchrs understand NCES data across the education spectrum. They also discuss the methods NCES uses to ensure that the data, published products, and reports are consistent, reliable, complete, and accurate. Lastly, the common modules help users understand how to access public- and restricted-use datasets.
The survey-specific modules provided in this training system present more detailed information about the specific studies conducted by NCES. Survey-specific modules are currently available for the following surveys:
- Early Childhood Longitudinal Study Birth Cohort (ECLS-B)
- Early Childhood Longitudinal Study Kindergarten Class of 1998-1999 (ECLS-K)
- Education Longitudinal Study of 2002 (ELS:2002)
- High School Longitudinal Study of 2009 (HSLS:09)
- National Postsecondary Student Aid Study (NPSAS)
- Beginning Postsecondary Students Longitudinal Study (BPS)
- Baccalaureate and Beyond Longitudinal Study (B&B)
- Schools and Staffing Survey (SASS)
- School Survey on Crime and Safety (SSOCS)
- Progress in International Reading Literacy Study (PIRLS)
- Trends in International Mathematics and Science Study (TIMSS)
- Program for International Student Assessment (PISA)
- Program for the International Assessment of Adult Competencies (PIAAC)
These data training modules produced by the National Center for Special Education Research of U.S. Dept. of Education's Institute of Educational Sciences (US ED/IES) are intended to be a resource to researchers who would like to use the PEELS dataset to conduct research addressing students with disabilities.
The modules provide opportunities for researchers to learn more about:
- the background of the PEELS study
- the study design and sampling
- the assessments and instruments used to collect PEELS data,
- how to access and manipulate PEELS data in SPSS and WesVar
- how to conduct longitudinal and regression analyses with PEELS data
Translating the Statistical Representation of the Effects of Education Interventions into More Readily Interpretable Forms
This 2012 report from the US Dept. of Education, Institute of Education Sciences (US ED/IES) provides suggestions to researchers about ways to present statistical findings about the effects of educational interventions that might make the nature and magnitude of those effects easier to understand.
