Literature review consultation
Sampling strategy
Study design selection
IRB forms assistance
Informed consent creation
Data cleaning
Data coding
Simple statistics
Data visualization
Student Package
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Research Topic Refinement
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We help you navigate through the process of selecting an appropriate research topic in your field of study and then guide you to generate research questions based on gaps identified in the literature.
Healthcare Worker Package
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Sampling strategy
Study design selection
Research topic refinement
Data cleaning
Data coding
Complex statistics
Data visualization
Language review
Scientific review
Journal selection
Formatting
Reference validation
Study Design Selection
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We walk you through the task of choosing the appropriate research study design from the many types of designs, each with its advantages and limitations used to collect and analyze data on variables specified in a particular research problem and deciding the most suitable methods and procedures to be used.
Scientific Review
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Owing to the journal’s long waiting time for peer review, it is a good idea to get your manuscript critically evaluated for any scientific and technical issues by a person with expertise on the research topic that can help you improve any potential gaps related to methodology, analysis, reporting, significance and generalizability of findings. Any issues related to clarity of the manuscript can be addressed. This will enable you to save time and have a comparatively smoother journal peer review.
Sampling Strategy
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A sample size refers to a part of the target population that we would like to study. Selecting the appropriate sample size is important for research since it helps to generalize the findings to the entire population and improves the reliability and validity of the study. The sample size is determined by applying mathematical formulas.
Literature Review Consultation
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Expert assistance in how to find high-impact, relevant studies to inform your research.
Formatting
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Formatting entails an outward polishing of the manuscript and organizing it as per the instructions of the target journal. It includes adhering to the word limit, abstract structure, page layout, reference style, manuscript blinding for peer review, and table and figure design guidelines of the journal.
Submission
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After formatting your manuscript in accordance with the journal guidelines, it is now ready for submission. However, a majority of the journals today follow an online submission process that can often be a daunting task considering several meticulous steps need to be followed and different documents need to be submitted together with the manuscript. This includes a Cover Letter, Transfer of Copyrights Form, Author Details, Ethical Statements, Conflict of Interest Statements and Funding Sources.
IRB Forms Assistance
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Your local Institutional Review Board (IRB) must first approve any research (whether it is conducted on animals or humans) that you plan to undertake. To obtain this approval you are required to complete the IRB forms and comply with their requirements. However, this can often be a delicate process and requires many documents to be submitted. Any unclear or missing information may lead to delay or rejection by the IRB. In this service, we offer guidance on how to fill the forms accurately by complying with the IRB guidelines.
Plagiarism Check
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Sometimes, inadvertently, authors end up incorporating portions of someone else’s work into their own paper. This is considered as cheating and has dire consequences for the author. As such, it is strongly recommended that all manuscripts undergo a check for plagiarism/similarities to ensure they have a minimum level of plagiarism and higher original content.
Data Cleaning
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Data cleanup is a way of preparing and fixing the collected data for analysis by removing or modifying data that is incorrect, duplicated, incomplete, irrelevant, or improperly formatted. This data is usually not important or helpful when it comes to analyzing data because it may corrupt the process or provide inaccurate results. Most importantly, the goal of data cleaning is to create data sets that are standardized and uniform to allow analytical processes to be done.
