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  5. Data Analytics Made Simple: How to Structure Research and Choose the Right Method.
Title: 

Data Analytics Made Simple: How to Structure Research and Choose the Right Method.

Other Titles: Defining Research Questions – From Idea to Data-Driven Inquiry
Authors: Christine Lumen
Keywords: data analytics, research design, research questions, hypothesis testing, testable hypothesis, data-driven inquiry, analytical reasoning, research methodology
Issue Date: Sep-2025
Abstract: Chapter 1: Defining Research Questions – From Idea to Data-Driven Inquiry from the book Data Analytics Made Simple: How to Structure Research and Choose the Right Method. The chapter introduces readers to the foundation of research design by explaining how to move from curiosity to structured inquiry. It covers key concepts such as forming hypotheses, ensuring testability, and developing clear, measurable research questions that guide data collection and analysis. The content is written in an accessible, student-friendly style and includes examples, simplified explanations, and visual aids to support understanding.
URI: http://hdl.handle.net/2451/75509
Appears in Collections:Division of Applied Undergraduate Studies

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Chapter 1 – Defining Research Questions.docxChapter 1: Defining Research Questions – From Idea to Data-Driven Inquiry from the book Data Analytics Made Simple: How to Structure Research and Choose the Right Method. The chapter introduces readers to the foundation of research design by explaining how to move from curiosity to structured inquiry. It covers key concepts such as forming hypotheses, ensuring testability, and developing clear, measurable research questions that guide data collection and analysis. The content is written in an accessible, student-friendly style and includes examples, simplified explanations, and visual aids to support understanding.209.88 kBMicrosoft Word XMLView/Open
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