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

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

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

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

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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.

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

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

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I am mainly using a qualitative approach to my study.

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

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

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

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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.

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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

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

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

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

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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

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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

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

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Limits the kinds of questions you can answer

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Limits the kinds of questions you can answer

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

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assumes that things will never change, not as adaptable

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