REPLY ONLY
What is the nature of quantitative methodology? What types of measurements are best explored using quantitative methodology? Why? Based on your initial readings in Chapter 1 of the course textbook, how is this different from qualitative methodology? Explain.
Sean Fitzpatrick
The quantitative methodologies can be characterized as statistical statistics when the data is quantified and presented. In most situations, it is necessary to do so. The application includes data, graphs, and data presentations in graphs and tables. The research rests on the knowledge that has been verified and does not create misunderstandings or misperceptions. As a quantitative approach, quantitative analysis takes an objective perspective and draws upon understanding positive principles and post-production research perspectives (Greenburger, 2021).
The use of quantitative methods can be easily applied to survey research, characterized by vast quantities of structured quantitative data. Close-ended questions use absolute, numerical, comparative, and range criteria. The quantitative data of a large population sample can be easily generalized to the entire population. Research on correlation is a statistical analysis method that attempts to correlate two or more variables. A cause-and-effect relationship is a relationship of cause and effect (independent and dependent variables) that can be analyzed using quantitative methods. In experimental research, statements or hypotheses are tested quantitatively using statistics and are either proven or rejected.
Quantitative research methods in the social sciences usually involve transforming individuals into numbers, whereas qualitative methods typically involve the change of individuals into words (Yousefi et al., 2020). Deduction and induction, numerical value and words, affirmation, and critical theory are some examples of quantitative and qualitative differences (Stephens et al., 2018).
References:
Greenberger, S. (2021). Foundations of quantitative and qualitative research. GCU Doctoral Research: Foundational Principles of Research Design (1st Edition). https://lc.gcumedia.com/webbooks/gcu-doctoral-research-foundational-principles-of-research-design /v1.1/#/chapter/1
Stephens, R. G., Dunn, J. C., & Hayes, B. K. (2018). Are there two processes in reasoning? The dimensionality of inductive and deductive inferences. Psychological Review, 125(2), 218
Yousefi Nooraie, R., Sale, J. E., Marin, A., & Ross, L. E. (2020). Social network analysis: An example of fusion between quantitative and qualitative methods. Journal of Mixed Methods Research, 14(1), 110-124.
2. Leigh Richardson
The nature of the quantitative methodology is an impartial numerical measurement, as the mathematical or statistical analysis of data that is collected in a study. Using information that is observed and gathered through structured tools which frequently utilize larger sample pools that are measured to support a hypothesis mathematically, so the results can be communicated numerically explaining situations that affect these populaces in a generalizable way. Quantitative research methods seek to generalize across samples of populations the arithmetic relevance of patterns in phenomena from a positivist paradigm concept of reality (Gilad, 2021).
The types of measurements that are best exploited are numerical and statistical measurements of defined variables that diminish the impact of bias in the measurement process (Greenberger, 2021). Qualitative research is generally of the exploratory type and is used to reveal trends in perception or opinion in social phenomena and determine the answers to how and why the population's experiences differ through the gathering of non-numerical data.
While quantitative research seeks to answer the factorial aspect of the size of the what, in the measured phenomena.
References
Gilad, S. (2021). Mixing qualitative and quantitative methods in pursuit of Richer answers to real-world questions. PUBLIC PERFORMANCE & MANAGEMENT REVIEW, 44(5), 1075-1099.
Greenberger, S. (2021). Foundations of Quantitative and Qualitative Research. In GCU Doctoral Research: Foundational Principles of Research Design. Grand Canyon University.
3. Ambersol Newson
Methodology is a system of methods in a particular area of study or activity. Appropriate use of any methodology requires extensive sound decision making to warrant conclusions drawn from the method (Henson, et al.,2020). Quantitative methodology in particular emphasizes objective measurements and the statistical, mathematical or numerical analysis of data collected through polls, questionnaires, surveys or by manipulating pre-existing statistical data using computational technique. Quantitative research focuses on gathering numerical data and generalizing it across certain groups of people to explain a specific phenomon. The goal of a quantitative research study is to determine the relationship between an independent variable and a dependent variable within a population. Quantitative research designs are either descriptive or experimental. A descriptive establish association between variables an experimental establish causality. The aim of quantitative research study is to classify features, count them, and construct statistical models in an attempt to explain what is being observed. There are four types of measurement scales that are explored in quantitative, nominal, ordinal, ratio and interval. These are used as the basis for making generalizations about a phenomenon. based on my reading of chapter 1 this is different from qualitative methodology because qualitative methodology involves inductive reasoning that create theories based on observation. This in turn makes a qualitative methodology have a emergent nature to its design. In a quantitative research it involves statistical significance whereas a qualitative research involves searching for meaning. Qualitative research can include numbers, text, images and artifacts. Quantitative research involves clearly define variables whereas qualitative research involves naturalistic, which means it examines life situations.
Reference
Henson,R., Stewart, G. & Bedford, L. (2020). key characteristics and some guidance on using strong quantitative methodology in education research. Journal of Urban Mathematics Education,13(2).
REPLY ONLY
Imagine that you already have a doctoral degree and have a new job as a supervisor. It comes to your attention that several employees are dissatisfied and talking about leaving. Turnover is costly and disruptive, so you urgently need to identify a solution. The intensity of the situation and the burgeoning negative bandwagon have you concerned that talking to employees about the problems they are experiencing will unnecessarily heighten emotions and exacerbate the situation. Nonetheless, you wish to come to your boss with a fact-based list of measures that may be taken, starting with the most urgent, easiest to implement, and most effective. What kind of data do you need? How do you acquire the information you need? Support your position.
4. Michelle Redaja
As a supervisor, it is key to have supervisory skills to work effectively. It is the role of a supervisor to solve problems, manage tasks, report up and down the hierarchy and lead teams. Thus, good supervisory skills help in making the right decisions and interacting with others. Also, a supervisor has the ability of increasing employee performance by making sure that they are satisfied. The ability to empower and motivate, a personable attitude and constant communication can help turn dissatisfied employees into happy workers. In the case above, conducting a survey is the most urgent, easiest to implement and most effective measure (Segarra & Gentry, 2021).
The reason is because a one-on-one communication limits expression of some employees and reading between the lines might not give all the required data as compared to a survey which has information from the employees. From the survey, it is possible to identify the dissatisfied employees and their reasons without them disclosing who they are. After, the right decision can be made on how to make the employees happy and prevent them from leaving (Alokhateria et al., 2018; Li et al., 2019)
Reference:
Alkhateri, A. S., Abuelhassan, A. E., Khalifa, G. S., Nusari, M., & Ameen, A. (2018). The Impact of perceived supervisor support on employees turnover intention: The Mediating role of job satisfaction and affective organizational commitment. International Business Management, 12(7), 477-492.
Segarra, V. A., & Gentry, W. A. (2021). Taking ownership of your career: professional development through experiential learning. BMC proceedings, 15(Suppl 2), 5.