Free Tips to Categorize Quantitative Research Methods for PhD
In-Brief
- PhD Dissertation Research Methodology must contain clear academic evidence and justification for all the research choices.
- You must state a perfect or valid academic reason for your choice, “I am interested, or I thought it would be perfect” is not enough.
Free tips to Categorize quantitative research methods for PhD
Introduction
A significant part of any dissertation or thesis is the methodology, which is not considered the same as ‘methods’. It broadly describes the logical concepts behind your selected research methods. Research Methodology Services comprises qualitative or quantitative methods and a combination of both. You must clearly state the reason why you have chosen a particular research method. You must describe the theoretical basis for all the research methods, which you have made. “I am interested, or I thought it would be perfect” is not enough for the Best Dissertation Research Methodology there must be a perfect or valid reason for your choice.
What to Include in your Methodology
If you are preparing to submit your Research Methodology for PhD Thesis in section, you must use the methodology part to list out what you plan to do within the research. It should be associated with the literature to describe why you have selected particular methods. PhD Qualitative Research Methodology Services & Help you to select a perfect research methodology.
If you are planning to submit a single thesis work, then the methodology must include what you did and modifications you made as your research work progressed. Again, it is mandatory that it must contain clear academic evidence and justification for all the choices you made throughout the research and be connected to the literature.
Quantitative research
Quantitative research is a scientific analysis of phenomena by collecting quantitative data and activity applied mathematics, or procedure techniques. Gathering Quantitative Data in Quantitative Analysis is what makes it different from other different types. Quantitative analysis is targeted mainly on numerical data, and it also includes mathematical analysis to research what is being determined, the data gathered must be numeric values. The overall structure for quantitative research is identified based on the scientific approach. It uses the technique and method of aggregation and uses that information at intervals within the matter’s victimization for sharing the analysis and conclusions.
Categories of Quantitative research
There are five categories of Quantitative research: Survey, Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research
Survey Research
It is the primary tool that is used for all types of quantitative research approaches. The research’s essential purpose is to broadly describe the characteristics of a specific group or a group of population. It is normally used among small and large organizations to accurately understand their customers and diagnose the commodity and product review.
- It allows the customer to raise various queries, and it also helps to analyze them.
- There are two different kinds of survey Cross-sectional and longitudinal, which can be used to conduct the research analysis
- The cross-sectional survey is led specifically on a target population at a given period. These surveys are used to conduct research mostly in retail stores, health care trade, etc.
- The longitudinal survey research is conducted at different time intervals. These are used in medicine and applied sciences.
Descriptive research
It helps to explain the current status of identified variables. It provides systematic information about the research projects which are designed for a particular phenomenon. The researcher generally never begins with a hypothesis, but they develop one after they gather data. The analysis and synthesis of the data offer the examination of the hypothesis. Systematic collection of information needs a cautious selection of each variable’s analysis and prudent measure.
Descriptive research tends to explain the current status of an identified variable. Descriptive research aims to explain and interpret people’s current status, settings, conditions, or events.
Examples of Descriptive Research:
- A description of the habits of the tobacco user’s among teenagers
- A description of how parents feel about their ward school year
- A description of the approaches of researchers about global warming
Correlational research
It helps to establish the relationship among close entities and to identify how one influences the other. For this type of research, a researcher at least needs two different groups. This type of research diagnoses trends and patterns in data, but it does not so far in its analysis to justify the cause for these observed patterns. Cause and effect is not the base of this kind of experimental research; here, data, relationships, and distributions of variables are studied. Variables are not employed; they are only recognized and examined as they occur naturally. In some cases, correlational research is reflected as descriptive research and not as its kind research, as no variables are employed in the study.
Examples of Correlational Research:
- The relationship between intelligence and self-esteem
- The relationship between nutrition and anxiety
- The relationship between an aptitude test and achievement in an algebra course
- The covariance of smoking and lung disease
Causal-comparative research
Causal-Comparative research is applied to conclude the cause-effect equation between two or more variables, where one variable depends on the opposite experimental variable. Quantitative Research Analysis patterns are neutral, detailed, and conjointly tentative. It is easier to know the different types of quantitative research designs if you consider how the researcher designs and styles to manage the investigation process variables.
Experimental research
True Experiments use the scientific methods to launch the cause-effect relationship among a set of variables which make up a study. The true experiment is nothing but the laboratory study, but this is not always the case; a laboratory arrangement has nothing to do with it. A true experiment is a study where an effort is made to detect and enforce control over all other variables except one. An independent variable is influenced to identify the effects on the dependent variables. Research Subjects are randomly assigned to experimental treatments rather than identified in naturally occurring groups.
Conclusion
It is significant to select a research methodology, which exactly suits your research work, and you must clearly state the reason why you have chosen a particular research method. If you found difficult in identifying research methodology, you can consult with Best PhD Research Methodology Help provider online to identify Best Dissertation Research Methodology.
References
- Jogulu, U. D., & Pansiri, J. (2011). Mixed methods: A research design for management doctoral dissertations. Management research review.
- Walker, W. (2005). The strengths and weaknesses of research designs involving quantitative measures. Journal of research in nursing, 10(5), 571-582.
