Research methodologies, like salt and pepper, or peanut butter and jelly, come in two distinct, recognizable, metaphorical flavors: Qualitative and Quantitative. Each comes with its own ideas and philosophies, strengths and weaknesses, proponents, and detractors.
Quantitative research emerged during the Scientific Revolution as a way to examine, observe, and analyze natural phenomena. Quantitative research is:
Qualitative research emerged in the last half of the 20th century as a counterpoint to quantitative methodologies. Qualitative research is:
In this week’s Unit, you will determine, define, and write up the data collection methods for your applied research proposal. You will write in the future tense saying “the researcher will…” as you have not completed the research yet and you are not permitted to use the first person. You will also start your PLC work assignment.
The concept of risk is generally understood to refer to the combination of the probability and magnitude of some future harm. According to this understanding, risks are considered "high" or "low" depending on whether they are more (or less) likely to occur, and whether the harm is more (or less) serious.
In research involving human subjects, risk is a central organizing principle, a filter through which protocols must pass; research evaluated by IRBs that presents greater risks to potential research subjects will be expected to include greater or more comprehensive protections designed to reduce the possibility of harm occurring.
According to the Common Rule, a study presents minimal risk if "the probability and magnitude of harm or discomfort anticipated in the research are not greater in and of themselves than those ordinarily encountered in daily life or during the performance of routine physical or psychological examinations or tests" (Belmont Report, para 6) Although the concept of minimal risk remains controversial in academic and scholarly discussion, it is widely used to determine which set of protections are to be required for particular research protocols.
1. Data collection strategies II: Qualitative research. (n.d.). California State University. http://web.csulb.edu/~msaintg/ppa696/696quali.htm
2. Trochim, W. M. K, (2006). Descriptive statistics. conjoint.ly. http://www.socialresearchmethods.net/kb/statdesc.php
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