Strengths & Weaknesses of Quantitative Research Approaches by Meg Blanchard

2025-02-27 15:20:26 UTC

Lots of data, direct observation and measurement, topic is specific and narrow.

2025-02-27 15:22:09 UTC

assumes that things will never change, not as adaptable

2025-02-27 15:22:38 UTC

I'm going to do a mixed-methods study.

Enables prediction

2025-02-27 20:47:20 UTC

Limits the kinds of questions you can answer

2025-02-27 20:51:39 UTC

Yes, in a mixed method design

2025-02-27 20:52:37 UTC

2025-02-28 00:14:00 UTC

Allows for a greater degree of generalization and can more efficiently gather information from a large number of participants.

2025-02-28 00:17:44 UTC

Could be considered a strength, but since you want a greater focus on objectivity and consistency in the way your independent variable is administered, you'd want to avoid letting any part of the research design emerge during the process

2025-02-28 00:19:21 UTC

Yes, I like the idea of sampling from a large pool of individuals. Additionally if I could gather data from people in similar groups at different institutions, I think the results would be more applicably generalized

mbrown4_32 — 2025-03-02 21:13:04 UTC

Quantitative research approach provides data that can be statistically analyzed creating a way to make concrete connections

mbrown4_32 — 2025-03-02 21:14:45 UTC

There is a potential for misinterpretation of the data without more in-depth data that can come from qualitative data.

mbrown4_32 — 2025-03-02 21:16:04 UTC

Yes, I am planning on completing a mixed method study that will include both quantitative and qualitative approaches.

2025-03-05 22:46:12 UTC

With this research method, you are able to collect data from a larger audience and are able to compare results a bit easier to see any correlation or patterns within the data set

2025-03-05 22:48:03 UTC

The data does not tell the whole story, this will overlook the complexity of people's experiences. With some topics such as student engagement are going to be harder to measure in a standardized method and can lead to misinterpretations of what the data means.

2025-03-05 22:48:48 UTC

I will use quantitative research methods since I will be using a likert scale and rankings to measure my research

lrjarret — 2025-03-05 23:57:07 UTC

Allows for a lot of data analysis techniques (spreadsheet wizardry).

lrjarret — 2025-03-05 23:58:09 UTC

It puts limits on what you can find out, a lot of context and nuance is lost.

lrjarret — 2025-03-05 23:59:06 UTC

I am mainly using a qualitative approach to my study.

Predictions are easier to create and you get more data to help with comparisons and connection points

2025-03-06 22:42:59 UTC

Possibilities of miscalculations or not getting the entire story behind the numbers

2025-03-06 22:45:45 UTC

What if a data point was influenced by outstanding singular circumstances? For example: A student may know the content on a test, but is having an off day on test day and gets a bad score.

I'm not planning on using quantitative methods, mainly qualitative.

2025-03-06 22:46:21 UTC