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Getting Verb Tense Right When Writing About Other People’s Research

If you’ve ever stared at a sentence in your literature review wondering, “Should this be ‘found’ or ‘finds’?”, you’re not alone. Graduate writers wrestle with verb tense all the time. It’s one of those small details that actually shapes how your readers understand the research conversation you’re joining. Let’s break down when to use past, present, and present perfect tense—and why it matters.

Dissertation - General Info - Qualitative - Writing

The Importance of Evidence in a Qualitative Dissertation: A Scholarly Framework

A qualitative dissertation is a continuous and verifiable chain of evidence, with each section logically and epistemologically supporting the next. Far from being a subjective narrative, it represents a rigorous, systematic, and transparent inquiry into a phenomenon that cannot be fully understood through numerical data alone. The evidentiary nature of qualitative research, however, differs fundamentally from that of quantitative studies. While quantitative evidence provides the “empiric knowing” necessary for practice, qualitative evidence supports the “personal and experiential knowing” that is critical for a holistic understanding of a subject (Broeder & Donze, 2010). This distinction is foundational and addresses a common scholarly critique that qualitative research is “biased, small scale, anecdotal, and/or lacking rigor” (J Am Pharm Assoc, 2003).

General Info - How To - Writing

Choosing The Correct Verb

Using the correct verb when quoting scholarly works, discussing existing studies, or presenting research findings is essential for accurately conveying meaning and maintaining academic integrity. Verbs such as argues, suggests, claims, demonstrates, or reveals each carry distinct connotations and levels of certainty, which can influence how readers interpret both source material and your own results. Choosing precise verbs clarifies the nature of a scholar’s or researcher’s contribution—whether it is a hypothesis, interpretation, or proven result—and ensures that your writing communicates findings clearly, responsibly, and credibly.

AI Related - How To - Qualitative - Writing

Leveraging Notebook LM for Effective Qualitative Data Analysis: A Contemporary Exploration

Qualitative data analysis (QDA) is a foundational methodology across disciplines such as sociology, anthropology, public health, and education, enabling researchers to interpret complex, non-numerical data like interviews, field notes, and multimedia content (Braun & Clarke, 2022). Traditional QDA involves iterative coding, categorization, and thematic development processes, which are time-intensive and prone to human cognitive biases (Bell et al., 2022; Kiger & Varpio, 2020). The advent of artificial intelligence (AI) has introduced transformative tools to mitigate these challenges, with ’s Notebook LM emerging as a cutting-edge solution. Launched in 2023, Notebook LM integrates generative AI with dynamic note-taking features to assist researchers in synthesizing unstructured data (Google AI, 2023). Its ability to process natural language, suggest thematic connections, and generate summaries positions it as a valuable tool for modern qualitative researchers.

Qualitative - Writing

What are Research Assumptions, Limitations, and Delimitations and Why are They Important to Include?

Research design requires careful consideration of elements that define the scope and credibility of a study. Three elements—assumptions, limitations, and delimitations—establish boundaries and clarify the research context. These components guide how a study is conducted, interpreted, and generalized. This paper examines the definitions, roles, and implications of research assumptions, limitations, and delimitations supported by scholarly references.

Qualitative Research

Unlocking the Secrets of Qualitative Data: A Guide to Thematic Analysis

Imagine trying to understand a complex story where the plot is hidden beneath layers of subtle clues and intricate details. That’s what it’s like to work with qualitative data! But don’t worry; there’s a powerful tool that can help you crack the code: thematic analysis. This post explores the fascinating world of thematic analysis, showing how researchers uncover hidden meanings in interviews, focus groups, and various documents. We’ll break down the process step-by-step, from identifying those recurring ideas (or “themes”) to tackling the challenges of analyzing qualitative data. Get ready to discover how this flexible and insightful method can bring your research to life!

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AI Ethics in Education

Exported on 02/11/2024 at 15:04:18 from Perplexity Pages – with SaveMyChatbot The point of this article is to give anyone who is interested a jump start on learning more about […]

Writing

Dissecting The Literature Review

The foundation of a dissertation is a thorough review of the current literature related to the problem so you can develop a plan for further investigation. Reviewing the literature should […]