Lawrence S. Bloomberg Faculty of Nursing

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Research Resources
Statistical Consulting

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  • Statistical Consulting at the Lawrence S. Bloomberg Faculty of Nursing

    The Research Data Analyst with the Office of Research & External Relations is available to offer methodological and statistical advice and consultation to all Lawrence S. Bloomberg Faculty of Nursing research faculty and graduate students, through scheduled appointments.

    Proposal Development – Methodological and Statistical Plan

    The Office of Research & External Relations will work with researchers throughout the proposal cycle. Our goal is to improve the overall success rates of grant applications. Please contact the Research Data Analyst well in advance of the grant competition deadline if you require assistance (minimum 2 weeks). This service is offered at no cost to our faculty members for grants where funds will be held either partially or in full at the LSBFON. Research proposal support includes:

    • Providing expertise on research designs and methods
    • Reviewing grant proposals and providing methodological and statistical feedback
    • Collaborating in the development and/or writing of grant proposals, including:
      • Sample size and power calculations
      • Development of data collection and analysis procedures
      • Writing up proposed statistical methods

    Study Implementation, Data Analysis & Dissemination

    Methodological and analytic support for funded research can be arranged on a fee-for-service basis with the Research Data Analyst. Assistance with statistical analysis of post-award research is not available without funding. We operate using a cost-recovery model. The level of support may range from one-time consultations to ongoing collaborations related to the implementation of funded research including:

    • Database design, setup, management, and support
    • Supervision of the data cleaning and data manipulation activities of Research Staff
    • Statistical analysis using SAS, SPSS, Mplus and other software
    • Interpretation of results
    • Preparation of tables and figures
    • Writing of methods and results sections for manuscripts and project reports
    • Consultation on knowledge translation and exchange strategies
    • Designing a dissemination plan

    Please reach out to the Research Data Analyst about any additional analytic activities, if occurring separately from those mentioned above.

    Graduate Student Research Support

    The Research Data Analyst is available to provide methodological and analytic support for LSBFON graduate students undertaking thesis and dissertation research. It is appropriate for the Research Data Analyst to discuss with a student alternative forms of analysis that may be suitable for their research; to render advice about which of several forms of analysis might be best; to help a student correct a computer-program setup; or to help a student interpret the output from a statistical computer program. The Research Data Analyst will not:

    • make decisions about how a student should analyze their data;
    • analyze the student’s data; or
    • write computer program setups for the student.

    Because coordination of advice is often important, we expect that a student’s supervisory committee is aware of the help provided to the student by the Research Data Analyst. This service is offered at no cost to LSBFON graduate students.

    To schedule an appointment, please complete the Statistical Consulting Request Form at: https://redcap.link/biostats

    Steps to Involve the Research Data Analyst

    1. Get the Research Data Analyst involved early! Complete the Statistical Consulting Request Form https://redcap.link/biostats.
    2. Plan an Initial Meeting. Decide upon the Research Data Analyst’s specific responsibilities and other expectations. Discuss budgetary needs and timelines. The Research Data Analyst will provide you with a cost-estimate based on the expected scope of work.
    3. Maintain Communication. Ensure that you continue communicating with the Research Data Analyst through the grant writing process and during all phases of the research. Once the grant has been submitted, please ensure that you provide the Data Analyst with a final version of the proposal. Once funded, ensure that the Data Analyst is aware of any changes that may affect the study design, sample selection, data collection etc.

    Additional Considerations

    Authorship on Papers: Authorship on papers should be discussed early. Authorship is based on the following International Committee of Medical Journal Editors (ICMJE) criteria, where contributors who meet all four of the criteria below should be listed as an author. Authorship is also merited for a Data Analyst who guides the analyses carried out by the researcher or their support staff/trainees.

    1. Substantial contributions to the conception or design of the work; or the acquisition, analysis or interpretation of data for the work; and
    2. Drafting the work or revising it critically from the view point of important intellectual content; and
    3. Final approval of the version to be published; and
    4. Agreement to be accountable for all aspects of the work in ensuring that questions raised to the accuracy or integrity of any part of the work are appropriately investigated and resolved.

    Other Budgetary Considerations: The need for specialized software should be discussed early on with the Data Analyst. In some cases, workshops or additional training may be needed to gain statistical tools needed to carry out the required analyses.

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