Discussion
22 Jan 202022 Jan at 17:33
Qualitative research falls under descriptive designs; in which the descriptions being made are in an attempt to make comparisons or display samples of people's opinions. Furthermore, descriptive designs are considered qualitative in specific circumstances. In addition, this type of research uses mathematical models to analyze the hypothesis. On the other hand, qualitative research uses prior research and knowledge to interpret data in a subjective matter. In essence, qualitative research is exploratory in order to attain underlying reasons, ideas, opinions, trends, thought process and the sample size is generally small. Correlational Research intends to "predict" phenomenons in order to understand the "relationships" of thoughts feelings and behaviors (Newman, 2016, p. 2.1). The data used in correlational research uses numerical data to compare variables and find a relationship; it does not determine causation. The designs that are part of correlational research are, "association[s] between the scores that provide information about the form, direction, degree, and strength of the association. Although the form can be linear (positive or negative linear association) or nonlinear (curvilinear), the direction, degree, and strength of the association also can be presented on a scale" (Seeram, 2019, p.177).
Resources
Newman, M. (2016). Research methods in psychology (2nd ed.). San Diego, CA: Bridgepoint Education, Inc.
Seeram, Euclid. “An Overview of Correlational Research.” Radiologic Technology, vol. 91, 1 Nov. 2019, pp. 177–179., http://eds.b.ebscohost.com.proxy-library.ashford.edu/eds/pdfviewer/pdfviewer?vid=1&sid=e499d499-851f-4949-8294-f4505adbbd31@sessionmgr101.
Wednesday29 Jan at 20:07
In the text, quantitative research falls under descriptive designs along with qualitative research. Quantitative research is when “descriptions attempt to make a comparison or present a random sampling of people's opinions” (Newton, 2016, p. 2.1). Qualitative research focuses on a descriptive approach seeking information by understanding an individual’s thoughts and behaviors on more than a personal level to better understand the individual’s experiences more in-depth. Qualitative research appears to be more in-depth when it involves the analysis of data that is not a number. When performing qualitative research, you will realize that the sample size will be smaller than it would be in quantitative research. Both methods are used to collect, analyze, and interpret data through experimental and non-experimental designs.
In experimental research, it describes when researchers can manipulate and predict the variables. Experimental research has the goal of causation. The research will be conducted in a laboratory with a group placement with one group being experimental and the other group is controlled. Non-experimental research is categorized as descriptive or correlation between variables.
A research design is the “blueprint or plan” researchers use to answer specific research questions (Bloomfield & Fisher, 2019). Prior to conducting research, we must first form a hypothesis. As such, quantitative research seeks to find the true answer by testing hypotheses using objective and impartial scientific methods (Davies & Fisher, 2018). Quantitative research describes and focuses on the mental process and behavior. Things that could be utilized during quantitative research are surveys, questionnaires, statistical measurements, generated reports, etc. This research produces or generates numerical data and control must be maintained. Quantitative data are “not just numbers, they are numbers with a context” (Hannigan, 2018). The types of researches that fall under s quantitative are descriptive, correlational, quasi-experimental, and experimental. Quantitative research plays a very tremendous role when it comes to nursing and healthcare.
References
Newman, M. (2016). Research methods in psychology (2nd ed.). San Diego, CA: Bridgepoint Education, Inc.
Bloomfield, J., & Fisher, M. J. (2019). Quantitative research design. Journal of the Australasian Rehabilitation Nurses’ Association (JARNA), 22(2), 27–30. https://doi-org.proxy-library.ashford.edu/10.33235/jarna.22.2.27-30 (Links to an external site.)
Hannigan, A. (2018). Public and patient involvement in quantitative health research: A statistical perspective. Health Expectations, 21(6), 939–943. https://doi-org.proxy-library.ashford.edu/10.1111/hex.12800
Part 1 Compare and contrast characteristics of qualitative and quantitative research approaches
Quantitative research is an empirical and systematic appeal that tries to conclude outcomes in different situations and phenomenons. The population can undergo a survey by using a controlled set of scale, a statistical analysis. The values are measured on an interval, ordinal, or ratio scale and used a histogram. Qualitative research uses hypotheses as to the beginning point for research. Quantitative analysis has large sample sizes, techniques for sampling are vast and random to get a good sampling of the population. Variables are in numerical form, data analysis uses statistical approach, and reliability and validity are the bases of the value. A psychologist could research life happenings and addiction in general (Newman, 2016).
In contrast, qualitative methods of research methods are more expressive in the approach to gain greater knowledge of specific contexts and cases. Qualitative research does not necessarily use hypotheses and the hypotheses of the result of the study. Qualitative research has small sample sizes, use specific sampling, use historical facts like pictures and words, data analysis uses particular coding techniques, and value derived from trustworthiness. Bar graphs are useful for nominal or qualitative categories. A psychologist would learn more information from persons who experienced addition through an interview process (Newman, 2016).
Qualitative and quantitative research approaches traditionally are more popular with different social science disciplines. An example of this contrast is most of the research done is quantitative in the field of psychology. The research seeks knowledge that is general concerning mental and behavioral processes. However, most of the research done is qualitative in the field of government and sociology, aiming for a deep understanding of a specific context. The difference between nonexperimental and experimental research is that the nonexperimental explained as being scientific. There is a control group or variable that can not be manipulated by the researcher. Experimental research can manipulate the subjects, predictor, and variable (Newman, 2016).
Part 2 investigates correlational research based on my first name Marsha.
Correlational research is a kind of descriptive analysis that is nonexperimental, facilitates explanation, and predicts the association amidst variables. Those that conduct research using correlational research as a yardstick to investigate how two or more factors are related to each other, without directing either one of the elements. The descriptive analysis seeks to systematically and accurately describe a situation, phenomenon, or population. Qualitative and quantitative methods can be used to explore one or many of the factors in the research study. Correlational research also discovers factors that are interacting with each other and what kind of interaction is happening. The process helps make predictions by the researchers based on the uncovered relationships. Researchers measure and observe the factors involved in the research. For example, not smoking has a negative correlation with cancer, and there are two variables, not smoking and cancer. The negative correlation means that people who do not smoke are less likely to bring about cancer. A zero correlation indicates that no relationship exists between the factors. A positive correlation means that the factors are changing in a similar projection. A negative correlation means that the factors are changes in an opposite projection. Some of the data collection and data analysis methods that are used in correlational research are observations, surveys, archival facts (Seeram, 2019). Some examples of correlational research are, does second-hand smoke cause asthma in children? Do light brand cigarettes reduce the tar and nicotine in smokers? Correlation does not mean causation, and this is understood to say that when factor A predicts factor B that does not correlate to A causing B. Directional and third variable problems are the reason for the lack of correlation (Newman, 2016).
Resources
Newman, M. (2016). Research methods in psychology (2nd ed.). San Diego, CA:
Bridgepoint
Seeram, E. (2019). An Overview of Correlational Research. Radiologic Technology, 91(2),
176–179.