There are many different research designs. The goal of quantitative research is to gather data that is in numerical form. The data is put into categories (nominal data), such as gender or political affiliation; into rank order (ordinal data), such as freshman, sophomore, junior, or senior; or measured in units, which can be interval or ratio, often referred to as scaled data, such as age or test scores.
Correlation research aims to understand the relationship between two or more variables. For example, is there a relationship between socioeconomic status and student success? As socioeconomic status increases, so does student success. Although it is helpful to know whether a correlation exists, this type of research presents limitations, as the data simply identifies a relationship and not causation. In other words, the researcher cannot state that socioeconomic status causes students to be successful.
Experimental research is concerned with measuring causation. More specifically, for example, what effect does brief-focused therapy have on depression? This information could prove beneficial when trying to help clients navigate through the challenges of depression. Although the researcher is able to test the validity of the intervention, experimental research is not without limitations. Experimental methods limit the possible ways a research participant can react to and express appropriate social behavior. Findings are therefore likely to be context-bound and simply a reflection of the assumptions that the researcher brings to the investigation.
In contrast to quantitative data is qualitative data. The goal of qualitative research is to obtain information that is not in numerical form. For example, the researcher will use open-ended questionnaires or unstructured interviews or observations. Given that qualitative data is generally descriptive data, it is much more difficult and time-consuming to analyze than quantitative data, which uses statistics to make inferences about the data. Moreover, analysis of qualitative data requires an accurate description of the participants responses. Finally, the researcher must sort through the responses to open-ended questions and interviews and identify patterns and themes.
An interest in qualitative data emerged as a result of the dissatisfaction of some psychologists, such as Carl Rogers, who believed that the scientific study of some behavioral psychologists, such as B.F. Skinner, failed to capture the totality of the human experience. Qualitative researchers argue that using the phenomenological approach, which explores the experiences of participants, provides much richer data.
Write a one-page summary of the study. In paragraph form, discuss what you learned from the research article regarding
Which Research Design did the researcher utilize?
Why did they use this research design rather than others?
Which other research design do you think would have worked for the study?
Why?
Your paper should align with APA style, including in-text citations, and a reference page.
Please do not plagiarize the paper I had this happen at a 95% accuracy a few months back. Please use file that was uploaded for this paper.
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