Conclusive research design provides results useful in the real world. These results are helpful in drawing conclusions or making informed decisions. Research goals and data needs for these kinds of studies are comprehensive. Results from conclusive studies typically have a specific purpose. Conclusive research design validates and quantifies the results of exploratory studies. A conclusive study strategy typically uses quantitative techniques for data collection and analysis.
Furthermore, decisive investigations frequently have a deductive structure. Researchers test the hypothesis to generate useful insights. Conclusive studies have crucial importance in a PhD dissertation. This article will highlight the importance of conclusive research in a PhD dissertation.
What is Conclusive Research?
Conclusive research aims to offer knowledge that aids in drawing conclusions or making decisions. It frequently uses quantifiable statistics, making it quantitative. It draws on both primary research and secondary research. Researchers often gather first-hand data in primary research. The use of secondary data pertains to reevaluating already-existing datasets to analyse a different research problem. Conclusive research is crucial in action-oriented disciplines such as business and policy making. Techniques for conclusive research are specially made to help the manager decide, assess, and choose the most appropriate plan of action to follow in a particular scenario. The conclusive studies approach differs from exploratory research techniques. Conclusive studies are frequently more formal and structured. Therefore, most of the students hire PhD dissertation writing services. This is because the majority of conclusive study methods rely on sizable representative samples and quantitative analysis of the data they yield.
Administrative decisions are often made directly based on the findings because they reflect a broader population of respondents. At this point, it should be highlighted that even though the sample size is substantial, the results do not always represent all customers’ opinions. Instead, these studies offer a broad direction for understanding market and customer behaviour. The study may be on the verge of suggesting specific customer and market behaviour in certain cases. At the same time, it may only partially elucidate the problem in other situations, leaving much to the manager’s discretion.
What are the two types of conclusive research design?
There are two types of conclusive research design:
- Descriptive Research Design
- Causal Research Design
1. Descriptive Research Design
The goal of descriptive study design is to determine how frequently an event occurs or how two variables are related. An initial relationship between two variables typically drives this design. For instance, descriptive research may examine participants’ soda consumption variations as per their age, income, and profession. The descriptive research design is very common in the marketing industry. When the objective of the research is:
- To forecast a market’s performance and consumer behaviour. For instance, a manager would be very interested in learning how fizzy drink consumption varies depending on the season, so they might create a marketing campaign for the upcoming one.
- To enumerate traits that distinguish particular groupings.
Although the objective of descriptive research is description, these investigations shouldn’t be carried out as fact-finding missions. Because it is relatively straightforward to conduct such studies, managers frequently begin them with unclear objectives and poor planning. As a result, a descriptive study strategy needs a clear plan for data collecting. The information acquired could be incorrect or inappropriate unless the study design specifies techniques for choosing sources of information and gathering data.
2. Causal Research Design
Causal research is the most appropriate approach when the study’s goal is to understand why specific market events occur the way they do. So, causal research assists in identifying which market variable has an impact on other market elements. To evaluate this, researchers employ controlled data collection techniques. It means that all variables other than the causal variable remain constant. After balancing the effects of other variables, researchers change the causation variable and assess the change in the effect variable. The causal design has two different features:
- Manipulation of the postulated causal variable
- Control over other pertinent variables
What are the 7 Ways Conclusive research is Important in PhD Dissertation?
Conclusive research is important in a PhD dissertation. It is especially important in business and marketing research. Conclusive studies are important in PhD dissertation due to the following reasons:
1. Action-Oriented Findings
Conclusive studies in PhD dissertations lead to actionable outcomes. The study results have useful, practical implications for the business and marketing field. Business managers require substantial evidence to devise strategies and implement them. These strategies help businesses gain a competitive advantage in the market.
2. Enhance the Exploratory Studies
Exploratory studies aim to explore a situation or an occurrence by gathering data. An exploratory study aims to gather information about an issue and integrate it. Conclusive research can enhance the insights gathered through exploratory research design. It amplifies the findings of exploratory research and leads to actionable outcomes.
3. Helps in Policy Making
Conclusive research in a PhD dissertation is useful for policy making. Governments and think tanks need reliable data about a sizeable population to make informed decisions. Most methods for conclusive research rely on large representative samples and quantitative analysis of the information they produce. So, it is useful for policy-making and helps governments and think tanks make informed decisions.
4. Marketing Strategies
Conclusive research helps companies and corporations devise impactful marketing strategies. PhD dissertations that utilise conclusive study designs gather information about the market dynamics and consumer behaviour. The insights generated from these studies are helpful for marketing strategies and help the companies design marketing strategies. Corporations customise their strategies to cater to the needs of a sizeable consumer market.
5. Generalisable Results
Conclusive study results are generalisable since these studies use quantitative data and large sample sizes. The quantitative characteristic of conclusive studies yields such results that researchers can generalise to a sizeable population.
6. Better Understanding of the Population Dynamics
Conclusive studies use reliable sample sizes and better understand the population dynamics. The descriptive research design in conclusive studies helps the researchers understand the population traits and characteristics in a much better way.
7. Useful for Experimental Research
A conclusive research design is useful for experimental research. Conclusive studies seek to determine the relationship between variables. Researchers determine causality between the variables by using a conclusive study design.
Conclusive research aims to provide knowledge that supports arriving at conclusions or making decisions. It is a useful research design for PhD dissertations in business and policy-making disciplines. The results generated from these studies are useful for informed decision-making.