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The Educational Component is the unit responsible for the training and development of DIDARP's team members. Based on a rigorous needs assessment of our team, we create Individualized Development Plans that aims to provide learning spaces and identify the necessary resources for both the faculty and research assistants, to develop research capacity.


Progress and achievements of DIDARP's team members are supported throughout the project development. Thus we ensure both team members and project success in a parallel way. Also, they have the opportunity to participate in the development of their career path at DIDARP. This is achieved through anagogical model which involves self-directed learning and the pursuit of interests and development opportunities by the learner.


Besides the development of our team, the Educational Component coordinates several activities for the benefit to the academic community and the general public. In this way, we strengthen research efforts related to substance abuse and criminal justice in Puerto Rico .

Educational Component

Conceptual Model for Research Capacity Building

How do we ensure Research Capacity Building?


The design of our trainings are directed to the development of the following skills:


  • Analytical approach to defining scientific questions

  • Formulation of testable hypotheses

  • Understanding application of quantitative and qualitative methods

  • Defining variables precisely

  • Phrasing directional and non-directional hypothesis

  • Crystallizing and formulation (identify and describe) relations of different variables of research

  • Setting problem specification

  • Using the suitable statistical procedures

  • Using parametric and non-parametric statistical data analysis

  • Principles of peer review process






















Additional Resources


To complement development activities coordinated by the Educational Component, we constantly encourage our team to use various tools that are available through the web. Here we share some of which have proved to be effective in our training and development process.



Qualitative Research - Peter Woods



Learning Qualitative Data online



Publishing Adiction Science: A guide for the perplexed 



Publishing Adiction Science: A self-guided tutorial



Purdue Online Writing Lab



Web-Based Tools:




  • Research design and implications for internal and external validity

  • Use of adequate sampling methods

  • Employment of scientific methods for data analysis

  • Interpret statistical printouts

  • Presenting results precisely

  • Writing for publications

  • Writing for grants/application

  • Writing CV and resumes

  • Presenting research outcomes in posters, conferences and seminars

  • Organize manuscripts based on professional/technical format and standards


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