What Research Design Requires A Quantitative Methodology

This paper primarily concerns qualitative research, but we were asked to compare both qualitative and quantitative methods. During comparison, there are many noted differences in both study designs, but not many similarities. Qualitative research uses a subjective approach with a large sample population. It collects non-statistical data, using an unstructured or semi-structured technique (Nieswiadomy & Bailey, 2018). Quantitative research uses an objective approach and large, random, sampling to ask opinions in a structured way. The findings of quantitative studies are conclusive and used to recommend a final course of action (Nieswiadomy & Bailey, 2018). While it is hard to see similarities between the two, both methods aim to find a solution to a problem or question, the researcher doing the study may affect the outcome and an analysis of the collected data must be done (Souza, 2017). What many don’t realize is the connection amongst the two. You can say, both types of research build upon one another, meaning quantitative studies can quantify results found in qualitative research (Souza, 2017).

This paper will review different styles of research design along with how different variables within research can be measured.

Quantitative and qualitative methods differ from one another as to their research design elements as listed below:

In survey design and administration, there are various approaches, which can be utilized to assess validity and reliability of a survey instrument. These approaches are used to make certain that the survey instrument accurately captures the data that is need as well as provides reliable results of over time (Phillips, Phillips, Aaron, 2013). To assess, the validity and reliability of a survey instrument, researchers conduct a review of validity and reliability during survey pilot testing (Phillips et al., 2013).

20. Is the type of design used appropriate? This type of design is appropriate because non-experimental research looks at prediction and causality and does not use manipulation of variables. The researcher studies what naturally occurs.

This non-experimental research uses descriptive statistical analysis, paired t-tests, and analysis of variance to examine the study variables.

There are many research methods in today's society. However, the experimental method is the methods that has my interest. Experiments are the formal tests of specific variables and effects, performed in a setting where all aspects of the situation can be controlled. The reason why I chose this method is because unlike and other method one can physically test the experiment out and weigh the pros and cons.

A quantitative quasi-experimental research design will be used for this study to evaluate and compare the use of HFS and ICS on CT scores for undergraduate nursing students in a medical-surgical course. A cross-sectional, two group, pretest-posttest will examine causality in CT scores related to the intervention of HFS or ICS. Nursing students enrolled in an accelerated licensed practical nurse (LPN) to registered nurse (RN) program in a community college in Houston, Missouri will serve as the convenience sample. Sample size is unable to be determined at this time, but is expected to be around 20 students. The maximum number allowed into the program per cohort is 22 students. The HFS will be chosen from published scenarios using the NLN/Jeffries

I understand your position. This study can definitely fall under the quantitative study guidelines. I understand that qualitative research is used to gain an understanding of underlying reason and opinions, and the data is unstructured. Combining the two study types is also known to happen. Sometimes researchers use both types of research to compliment each other. Thank you for your feedback, I value your insight.

True experimental and quasi-experimental research designs are the two most common forms of research design. While they both share similar elements, such as measuring participant results to test the hypothesis, there are also significant differences between true experimental and quasi-experimental research designs (The Regents of the University of Michigan, 2013 ).

Qualitative and Quantitative study designs both can be beneficial in research design. They both provide valuable options for researchers in the field. These techniques can either be used separately in a research study or they can be combined to achieve maximum information. This paper will define the terms qualitative and quantitative; describe the similarities and differences between each; discuss how qualitative and/or quantitative research designs or techniques could be used in the evaluation of my proposed research; and discuss why linking analysis to study design is important.

Quantitative research methods are most generally worried with weighing criminological or criminal justice existence. In order for this method to be understood, there are numerous amounts of conditions which must be initially recognized. Concepts are hypothetical labels assigned on reality that are appointed binary characters, hence making them changeable. Variables are then investigated to inspect designs of affiliation, as well as a chain of reaction. At the most basic level, there exists at least one dependent variable and one independent variable. The dependent variable is commonly referred to as the outcome variable. This is what the researcher is attempting to predict. The independent variable is commonly referred to as the predictor variable, and it is the variable that causes, determines, or precedes in time the dependent variable (Encyclopedia of Crime and Justice, 2002). Consider the following examples. Even at the main level, one self-reliant, as well as one dependent variable is present. The self-reliant variable is frequently referred to as the end result variable. This variable is what the analyst is trying to guess. The dependent variable is most generally referred to as the fortune teller, and it is the one that provokes, concludes, or anticipates sooner or later the self-reliant variable.

In survey method research, participants answer questions administered through interviews or questionnaires. After participants answer the questions, researchers describe the responses given. In order for the survey to be both reliable and valid it is important that the questions are constructed properly. Questions should be written so they are clear and easy to comprehend.

Quantitative research design is the standard experimental method of most scientific disciplines. These experiments are sometimes referred to as true science, and use traditional mathematical and statistical means to measure results conclusively. They are most commonly used by physical scientists, although social sciences, education and economics have been known to use this type of research. It is the opposite of qualitative research. Quantitative experiments all use a standard format, with a few minor inter-disciplinary differences, of generating a hypothesis to be proved or disproved. This hypothesis must be provable by mathematical and statistical means, and is the basis around which the whole experiment is designed. Randomization of any study groups is essential, and a control group should be included, wherever possible. A sound quantitative design should only manipulate one variable at a time, or statistical analysis becomes cumbersome and open to question. Ideally, the research should be constructed in a manner that allows others to repeat the experiment and obtain similar results.

2. Compare this research design with a survey research design. What advantages, if any, did this research design have over a survey?