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  1. Literature review is a comprehensive analysis of existing research on your topic, helping you understand the current knowledge base and identify potential research gaps.

    Literature review is a comprehensive analysis of existing research on your topic, helping you understand the current knowledge base and identify potential research gaps.

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  2. A clear, testable statement predicting the relationship between variables in your study.

    A clear, testable statement predicting the relationship between variables in your study.

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  3. PICOT is a structured framework used to formulate clinical research questions, particularly in evidence-based practice and clinical trials. It stands for: P (Population/Patient): Who is the patient or population of interest? (e.g., age, disease, condition) I (Intervention): What is the treatment, exRead more

    PICOT is a structured framework used to formulate clinical research questions, particularly in evidence-based practice and clinical trials. It stands for:

    • P (Population/Patient): Who is the patient or population of interest? (e.g., age, disease, condition)
    • I (Intervention): What is the treatment, exposure, or intervention being considered? (e.g., drug, procedure, diagnostic test)
    • C (Comparison): What is the alternative to the intervention? (e.g., placebo, standard of care, no treatment)
    • O (Outcome): What are the expected results or effects? (e.g., reduced symptoms, improved survival, fewer side effects)
    • T (Time): What is the duration of the study or follow-up period? (optional, but useful in some contexts)

    Example PICOT question:

    “In elderly patients with hypertension (P), does a low-sodium diet (I) compared to standard diet (C) reduce blood pressure (O) over six months (T)?”

    This framework helps ensure that research questions are specific, focused, and answerable using clinical studies.

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  4. You can select the study population by defining the characteristics of individuals relevant to your research question, considering inclusion and exclusion criteria.  

    You can select the study population by defining the characteristics of individuals relevant to your research question, considering inclusion and exclusion criteria.

     

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  5. Random sampling: Every individual in the population has an equal chance of being selected, ensuring representativeness. Purposive sampling: Selecting participants based on specific characteristics relevant to your research question.

    • Random sampling: Every individual in the population has an equal chance of being selected, ensuring representativeness.
    • Purposive sampling: Selecting participants based on specific characteristics relevant to your research question.
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  6. This is one of the most important step in your research. Calculating the correct sample size is an ingredient for a good research and hence it must be done scientifically. You should use statistical methods to determine the necessary sample size to achieve statistically significant results, considerRead more

    This is one of the most important step in your research. Calculating the correct sample size is an ingredient for a good research and hence it must be done scientifically. You should use statistical methods to determine the necessary sample size to achieve statistically significant results, considering factors like power analysis and effect size. You can request R & D Cell to help you with. They will connect you with the KAHER faculty/experts.

     

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  7. Quantitative: Surveys, questionnaires, physiological measurements, clinical data Qualitative: Interviews, focus group discussions, observation

    • Quantitative: Surveys, questionnaires, physiological measurements, clinical data
    • Qualitative: Interviews, focus group discussions, observation
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  8. Use standardized protocols, pilot testing of instruments, rigorous data cleaning, and inter-rater reliability checks.

    Use standardized protocols, pilot testing of instruments, rigorous data cleaning, and inter-rater reliability checks.

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  9. This answer was edited.

    We suggest you consult your faculty or a biostatistician from KAHER. R & D Cell can help you facilitate with this. You can choose appropriate statistical tests based on the type of data (e.g., t-test, ANOVA, chi-square) and research question. Remember choosing right statistical test is extremelyRead more

    We suggest you consult your faculty or a biostatistician from KAHER. R & D Cell can help you facilitate with this. You can choose appropriate statistical tests based on the type of data (e.g., t-test, ANOVA, chi-square) and research question. Remember choosing right statistical test is extremely important and you must know it before your research begins (not after it has ended).

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  10. Informed consent, confidentiality, beneficence, non-maleficence, justice

    Informed consent, confidentiality, beneficence, non-maleficence, justice

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