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Best Research Gap Identification Services with ThesisLikho - Learn How to Find Original PhD Research Gaps for Supervisor Approval

A research gap is a question that has not been answered in studies or an area that has not been explored or a limitation in existing research that needs to be looked into further. Finding a research gap is very important for a successful PhD because universities want doctoral scholars to come up with new knowledge instead of just repeating what is already known.

Many PhD scholars think that choosing a research topic is the part of doing a PhD. But actually the bigger challenge is finding a research gap that is important to academics relevant to real life and can lead to meaningful contributions to the field. This is why supervisors often ask a powerful question when you present your synopsis:

"What is new in your proposed research?"

Top 50 LLM Dissertation Topics for Constitutional, Criminal, Corporate and Cyber Law Students

Choosing the right LLM Dissertation Topics is one of the most important decisions for any postgraduate law student. A well-selected topic not only helps you complete your dissertation successfully but also strengthens your academic profile, research skills, and future career opportunities.

Many students struggle to find unique LLM Dissertation Topic Ideas that are relevant, researchable, and aligned with current legal developments. Whether you are specializing in Constitutional Law, Criminal Law, Corporate Law, Cyber Law, Human Rights Law, or International Law, selecting a strong topic can make your dissertation more impactful and academically valuable.

The Critical Appraisal Skills Programme (CASP) provides a structured framework for assessing the quality and trustworthiness of research studies. It helps researchers critically evaluate evidence before including it in a literature review or systematic review.

For PhD scholars, postgraduate students, and academic researchers, understanding how to use CASP can significantly improve the quality and credibility of research findings.

In this guide, you will learn:

What CASP appraisal is

Why critical appraisal matters

Types of CASP checklists

How to use CASP in a literature review

Step-by-step appraisal process

Advantages and limitations of CASP

A Pilot Study for PhD Research serves as a small-scale preliminary investigation that helps researchers identify potential problems before conducting the main study.

Many PhD scholars in India underestimate the importance of pilot studies, often proceeding directly to full-scale data collection. However, issues such as unclear questionnaire items, recruitment challenges, unreliable instruments, inappropriate sampling methods, and logistical difficulties can compromise the quality of research if they are not identified early.

A pilot study provides an opportunity to test every aspect of the research process, allowing researchers to refine their methodology, improve data collection instruments, and enhance the overall reliability and validity of their study. This comprehensive guide explains what a pilot study is, why it is important, when to conduct one, and the step-by-step process for carrying out a successful pilot study for your PhD research in India.

Regression analysis is one of the most widely used statistical techniques in academic research. Whether you're pursuing a master's degree or a PhD, regression analysis helps answer one of the most important research questions: How does one variable influence another?

From business and economics to public health, education, psychology, engineering, and social sciences, regression analysis enables researchers to identify relationships, make predictions, and test hypotheses using quantitative data. It is a cornerstone of evidence-based research and is frequently used in dissertations published in high-impact journals.

However, many research scholars struggle with choosing the right type of regression, understanding its assumptions, and interpreting the results correctly. Selecting an inappropriate model or misinterpreting coefficients can weaken the validity of your research findings.