Thursday, October 2, 2025

Idk, what ~can~ I learn in an hour or two?!

Although I much rather have been in class with everyone this evening (like it seriously has felt SO weird going two Thursdays in a row without meeting)- I still took tonight to first poke around what easy online breakdowns I can find on Qualitative versus Quantitative research, second read through Bogdan and Biklen's Qualitative Research for Education: An Introduction to Theory and Methods, and third take a look at the way some of my peers may have compared and contrasted the two from their own perspectives. Of the videos I viewed, I have incorporated a few and what I took from each below.

Scribbr's Quantitative vs. Qualitative Research: The Differences Explained

  • Quantitative is used to test hypotheses while Qualitative is used to formulate them.
  • Quantitative usually utilizes larger sample sizes while Qualitative uses smaller ones.
  • The mixed method/s approach is when one study utilizes methods that fall under both types of research individually.
  • Qualitative Research is descriptive and reveals themes, ideas, and beliefs while Quantitative Research poses numerical or statistical questions like "how much?" or "how often?"
  • Qualitative can look at data such as surveys, observations, and interviews as well as artifacts such as language, religion, and ethnicity, Quantitative looks to define, prove or disprove.
  • When it comes to "how the pizza is served", Qualitative research is often set into themes (with lots of writing and discussion) and Quantitative is a lot less up for interpretation (while being a lot more rigid and full of numbers).
Moreover, in reading Bogdan and Biklen's Eleven Common Questions about Qualitative Research (a.k.a the type I lean a tad more towards), I learned a lot. This includes but is not limited to the concept of generalizability/grounded theory/"whether the findings of a particular study hold up beyond the specific research subjects and the setting involved", the ways in which qualitative researchers try to avoid bias having impact on studies, reliability = the "fit between what they record as data and what actually occurs" ≠ "consistency in results of observations made by different researchers", and that neither style is better than the other.

It ended up being too long to incorporate into a blogpost but I too wanted to briefly acknowledge the excerpt's Figure 1.1 Characteristics of Qualitative and Quantitative Research (p. 39-41) because it was reading through everyone of this table's sections that gave me a much better (and more visual) grasp on many of the fundamental facets that make up each of the types (such as key concepts, goals, design, the different relationships with subjects and problems that present themselves within each approach). 

With that, I instead took this opportunity to highlight what came up via Google's AI feature earlier on in the evening and I hope it is as insightful to the reader as it was to the writer LOL xoxox byeeeeeeeee




2 comments:

  1. Love how you approached this deep dive! (And I too really missed everyone with TWO WEEKS OFF!!!) Thanks for all of these great resources.

    ReplyDelete
  2. Thank you, Lesley! <333 Definitely happy to have returned to class this week.

    ReplyDelete

Here's to the rest of our Fall 2025 semester together!🫶🥳✨

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