Demographic data analysis is important for solving scientific problems by taking into consideration some useful characteristics of a population, such as age, race, ethnicity, income, marital status and many more. As stated in another way, it is the method of analysis of data by focusing on some demographic factors, including the size and composition of the population, the target population’s geographic areas or constraints, and changes in all these factors over time. Moreover, the consequences and determinants of population growth are also important aspects to consider in demographic data analysis. In market research, it is a statistical method of analysis that is usually used to research products and services, their potential customers, and the estimation of how much people of a certain age would like the product. Likewise, medical research aims to find the chances of the prevalence of a disease based on age, gender, and other characteristics.
Demographic data analysis plan for dissertation:
A dissertation is a long academic document that helps researchers to follow a multi-stepped process and report the findings or solution of a problem so others can also get benefited. However, in many cases, the planning phase of the dissertation takes more time as compared to the writing phase. Likewise, if demographic data analysis is your choice to unveil hidden facts about the topic of interest, then starting the process by making a foolproof plan must be prioritized. Simply, the step-by-step outline that helps researchers to use demographic data analysis to achieve their particular research goal is called a demographic data analysis plan for a dissertation. There are two available options to make such plans, the first is to hire someone to give you dissertation help, and the other is to take the step-by-step approach. The following is a brief description of steps that students must follow to make such a plan for their undergraduate or even master’s dissertation.
Clearly state the research objectives:
In a demographic data analysis plan, you must first state your research objectives. It is important as it helps you to stay on track throughout the analysis. For example, if you are making a plan for drafting a dissertation on the adverse after-effects of Covid-19 pandemic on the lungs and other organs of teenage survivors, then you must state it at the top of the plan.
Decide on the target population for your study:
Once you make a clear and focused statement stating your research objectives, finding the target population will become easy. For example, if you read the above statement carefully, it will be clear that target population is ‘teenage survivors of Covid-19’. Thus, steps one or two for making a demographic data analysis plan are interconnected and determine the success of each other.
Make inclusion and exclusion criteria:
When it comes to making a plan for any technique of data analysis, setting inclusion or exclusion criteria must be the third step to follow. At this step, you must define which demographic factors must include and what must not. By recalling above mentioned examples, we can say that at this step; you must identify which age, race, gender, or geographical area you want to include for finding the after-effects of Covid-19 on teenage survivors.
Identify the variables involved in a study:
Data analysis is the step of finding trends in data to get useful insights about the interdependence of different variables involved in a study. So identification of potential variables in a study is another vital step to follow while making an analysis plan for the dissertation. The estimation of which factor operates on its own and which is dependent on other (s) is the main task to do at this step.
Find variables that may be influenced by demographic factors:
The demographic factor that may have an impact on identified variables is one of the tasks that can be done manually as well as with the aid of AI tools. Any statistical analysis tool such as SPSS, Minitab, GraphPad Prism, and Matlab can be used for performing the demographic data analysis. However, the Z-test is common in analyzing demographic data, especially when the dataset is large.
Final Thoughts:
In a nutshell, a demographic data analysis plan for a dissertation is a short summary of events that a researcher decides to follow to get the desired outcomes. The format and structure of such demographic plans vary greatly, but you can follow the above-mentioned five steps to complete the process quite easily.
