Statistics and Data Interpretation

Statistics and Data Interpretation

Advanced Data Processing and Statistical Analysis

Research Computing and Instrumentation (RCI) offers advanced data processing consultations and statistical analysis services to the UNH research community.  Examples of completed projects

 

Web and Print Resources

This series of 31 video modules by the U.S. Dept. of Education's Institute of Educational Sciences (US ED/IES) provides opportunities for researchers to learn more about how to design scientifically valid single-case design research studies and appropriately analyze single-case 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.

These suggestions and the related discussion are framed within the context of studies that use experimental designs to compare measured outcomes for two groups of participants, one in an intervention condition and the other in a control condition"

Its purpose is to stimulate and guide researchers who conduct and report these kinds of education intervention studies "to go a step beyond reporting the statistics that emerge from their analysis of the differences between experimental groups on the respective outcome variables. With what is often very minimal additional effort, those statistical representations can be translated into forms that allow their magnitude and practical significance to be more readily understood by the practitioners, policymakers, and even other researchers who are interested in the intervention that was evaluated."

 

Video Training Modules Pre-Elementary Education Longitudinal Study (PEELS)

These PEELS data training modules produced by the National Center for Special Education Research 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
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