The process for understanding qualitative research methods is b mean of observations. Mamia (n.d.) presented that “observations can be direct numeric information or can be classified into numeric variables.” This is important to understand as the basis of quantitative research and further quantitative analysis is being able to compare apples to apples by means of numeric.
There are several strengths and weaknesses surrounding quantitative research and quantitative analysis. As with any research project the situation and variables involved will determine whether the research should be utilized. It is incumbent on the researcher to understand that field and identify the left and right limits. Mamia (n.d.) stated some of the strengths for quantitative research include “enables the research and description of social structures and processes that are not directly observable. Well-suited for quantitative description, comparisons between groups, areas etc. Description of change. Analysis and explanation of (causal) dependencies between social phenomena.”
There are also several weaknesses to quantitative research and further quantitative analysis. Researchers should attempt, if able, to mitigate by means of control measure to obtain the most accurate data. Mamia states that weaknesses within quantitative research include “simplifies and ‘compresses’ the complex reality: an abstract and constrained perspective. Presumes relatively extensive knowledge on the subject matter in order to be able to ask ‘correct’ questions. Difficult to study processes or ‘dynamic’ phenomena. Description of actors’ perspectives, intentions and meanings difficult.”
There are several methods for obtaining data. The following is a simple list provided from the presentation by Mamia (n.d.) but researchers may find more constructive ways as well. Survey research, postal questionnaire survey, e-mail questionnaire survey, Internet polls, face-to-face interviews, telephone interviews, systematic observation, text analysis, and statistical data, register data.
Lastly, Mamia (n.d.) stipulates that researchers must remain strict and follow the simplest of ethical principles in obtaining data. First, no harm may be done to the participants. Second, participants have an “informed consent.” Third, participants should remain “anonymous.” And lastly, researchers need to demonstrate “confidence” in their findings once complete.
Mamia, T. (n.d.). Quantitative Research Methods. General
Studies / ISSS Presentation.
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