LESSON 38 - METHODS OF DATA COLLECTION: TYPES OF DATA || SOURCES OF DATA

LESSON 38 - METHODS OF DATA COLLECTION: TYPES OF DATA || SOURCES OF DATA

🎙 Prof. Lydia Wambugu 👥 29K 📅 July 17, 2021 ⏱ 22 min 👁 29K 📄 tutorial 🧭 2026-08-17
Available in: English (current) Français

Keywords

datatypes of datasources of datadata collection methodsresearch methodology

Summary

This lesson introduces methods of data collection in social science research. It begins by defining data as quantitative or qualitative information about variables, and distinguishes between data collection tools (instruments) and methods (techniques). The instructor explains that data collection is crucial for answering research questions and testing hypotheses. The lesson covers two main types of data: quantitative (numerical, further divided into discrete and continuous) and qualitative (non-numerical, categorical). It also describes three sources of data: primary (original, first-hand), secondary (accounts based on primary sources), and tertiary (compilations like encyclopedias). The instructor emphasizes that the distinction between primary and secondary sources depends on usage. Finally, the lesson outlines factors to consider when selecting a data collection method, including the type of data needed, the source, and the audience of the research findings. The four main methods mentioned are questionnaires, observation, interviews, and document analysis.

143 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides a solid foundational overview of data collection concepts, clearly distinguishing between types of data and sources. The argumentation is logical and well-structured, with definitions and examples. However, it lacks critical evaluation of methods and does not delve into practical challenges or advanced considerations, limiting its value for experienced researchers.

Scientific Rigor, Source Quality, Title Accuracy

The content is scientifically accurate and aligns with standard research methodology principles. However, no specific academic sources are cited within the video; the only references are to the instructor’s own course and social media. The title accurately reflects the content, which is a tutorial on data collection methods, types, and sources.

118 words

Title / Content Match

The title accurately reflects the content, which covers methods of data collection, types of data, and sources of data.

Quality & Reliability

7/10

The video provides a clear and structured introduction to data collection methods, types of data, and sources of data. The content is accurate and aligns with standard research methodology textbooks. However, it lacks in-depth examples and does not cite specific academic sources, limiting its depth for advanced learners.

Key Moments

Cited Sources

  • Research Methods Course — Full course on research methods
  • YouTube Channel — Subscribe for more lessons
  • Facebook — Follow on social media
  • Instagram — Follow on social media
  • LinkedIn — Connect on LinkedIn
  • WhatsApp — Contact via WhatsApp

Concurring Sources

Contribution & Novelties

The video offers a clear and systematic introduction to data collection methods, types, and sources, which is particularly useful for beginners. It effectively distinguishes between tools and methods, and between primary, secondary, and tertiary sources. However, it does not introduce novel concepts or advanced perspectives, making it more of a foundational tutorial.

Pour aller plus loin :

94 words

Radar Profile

The radar profile shows balanced scores across information quantity, quality, technical level, and reliability, indicating a well-rounded introductory tutorial. The technical level is moderate, making it accessible to beginners, while the reliability is solid due to accurate content.

Reliability 7/10