Blog - Page 2 of 2 - Dr Benhima

Mastering Thematic Analysis: Braun and Clarke’s Six-Step Procedure

Thematic analysis is a vital method in qualitative research, providing a systematic approach to identifying, analyzing, and reporting patterns within data. Braun and Clarke’s (2006) six-step procedure for thematic analysis has become a cornerstone in qualitative research, offering a clear and accessible framework for researchers. Here, we’ll explore each of these six steps in detail, […]

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Literature review

Literature Review / Dr. Benhima Mohamed

The literature review should focus on the findings of previous research and highlight research gaps. The review should be written in light of the research objectives, research questions or research hypotheses. In other words, the research objectives, research questions and research hypotheses need to be substantiated with recent and relevant literature. The literature should usually

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Rationale and Research gaps

Literature Review / Dr. Benhima Mohamed

Rationale The rationale of a research study refers to the reasoning or justification for conducting the research. It explains why the study is important, necessary, and timely. The rationale is typically rooted in identifying a specific problem, issue, or gap in existing knowledge that the study aims to address. It provides the foundation for the

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Likert scale, Likert type questions, levels of measurement, Google Forms, Qualtrics and SPSS: Which statistical tests to choose and how to interpret the results

Data analysis / Dr. Benhima Mohamed

When using Likert-type scales in surveys and analyzing the results with tools like Google Forms, Qualtrics, or SPSS, understanding the levels of measurement and choosing the appropriate statistical tests is crucial for accurate interpretation. Here’s a guide to help you navigate these elements effectively. Understanding Likert Scales and Likert-Type Questions Likert Scales are a popular

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Top Ten AI Tools in Academic Research

Artificial Intelligence AI / Dr. Benhima Mohamed

Enhancing Integrity and Innovation Artificial Intelligence (AI) tools are transforming academic research by providing robust solutions for data analysis, content generation, and ensuring the integrity of scholarly work. Here’s a look at ten of the top AI tools that are making significant impacts across various academic disciplines. 1. Google Scholar Google Scholar harnesses AI to

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Understanding Different Types of Literature Reviews:

Uncategorized / Dr. Benhima Mohamed

Narrative, Systematic, and Beyond When embarking on any scholarly research, conducting a thorough literature review is indispensable. It lays the foundational knowledge of the subject, identifies gaps in current research, and sets the stage for further inquiries. This post delves into the nuances between the two primary types of literature reviews: narrative literature reviews and

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