Table of Content:
1) When should you do a case study?
2) What exactly are statistical methods?
3) What's the Main Difference?
4) The Advantages of Statistical Analysis
5) Case Study Advantages
When should you do a case study?
When you wish to gather tangible, contextual, and in-depth knowledge about a specific real-world issue, a case study is an ideal research methodology. It allows you to analyse the case's key characteristics, meanings, and implications. Case studies are usually a good substitute for a dissertation or thesis. They make the assignment organised and manageable when you haven't got the time or funds to perform comprehensive research. You may employ a single sophisticated case study to thoroughly investigate a particular issue, or you could perform many case studies to compare and illustrate different parts of your research challenge.
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What exactly are statistical methods?
Statistical models are instruments that aid in the analysis of large amounts of data. Statistical models are used by experts as part of statistical analysis, which involves the collection and interpretation of quantitative data. A statistical model can assist you in evaluating the features of a sample size within a specific population and applying your results to a larger group. While statisticians and information analysts may be more likely to use statistical models than other professionals, advertising representatives, corporate executives, and government employees could all profit from understanding statistical models.
What's the Main Difference?
The following table summarises the complementary nature of case studies and statistical methodologies. The case study's key strength is depth - detail, richness, comprehensiveness, and within-case variation - whereas statistical approaches' main strength is breadth. If you wish to study phenomena in depth, such as child maltreatment in family members or cost overruns in urban redevelopment, case studies are essential how to prevent it, and so on. Statistical investigations are required to determine how prevalent the occurrence is, how it links with other phenomena, how it changes across various populations, and at what level of statistical significance. If you want to talk authoritatively about the topic at hand, you must conduct two case studies and a statistical analysis. That simple is the synergy of the two techniques.
When you consider it, it's surprising how long the separation and hostility between both quantitative and qualitative methods have persisted in the literature and in university departments. This is the scenario when tribalism and power take precedence over rationality in the corridors of academia. As such, it is witness to the reality that academics, like everyone else, are all-too-human, and not much else. The distinction between qualitative and quantitative techniques is not a logical result of what graduates and academics need to know in order to perform their studies properly; quite the contrary. On the subject of qualitative vs quantitative methodologies, good social science opposes either/or and advocates for both/and.
According to the International Encyclopaedia of the Social and Behavioural Sciences, case studies and statistical approaches can "achieve far more advances in science together than each could alone." However, it should be noted that the balance between case studies and statistical approaches in social science is now skewed in favour of the latter, so much so that case studies are at a disadvantage in most fields. For the time being, it is vital to continue working on defining the case study's methodological relationships to other social science methodologies in order to dispel some of the misunderstandings concerning case study research. More significantly, researchers and students must collaborate. Scholars and students must continue to do high-quality, high-impact case studies.
The Advantages of Statistical Analysis
Statistical analysis is a godsend to mankind, with several advantages for both people and organisations. Some of the reasons why you might consider investing in statistical analysis are as follows:
- It may assist you in determining the monthly, quarterly, and annual figures of sales earnings and expenditures, making it easier to make judgements.
- It can assist you in making educated and proper selections.
- It can assist you in conducting market research and developing an efficient marketing and sales plan.
- It can assist you in identifying the problem or reason for the failure and making necessary modifications. For example, it can identify the cause of an increase in overall expenditures and assist you in reducing needless expenses.
- It contributes to the enhancement of various systems' efficiency.
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Case Study Advantages:
- A case study can help you: Collect broad-reaching data: Using a case study is a good approach to obtain enormous quantities of data on your subject, resulting in better grounded-in-reality research. A case study technique focusing on business research, for example, may include dozens of various data sources such as spending records, profit and loss statements, and customer retention information. This data collection gives many perspectives from which to form conclusions in a real-world environment.
- Reduce bias: Because case studies may capture a range of views, researchers' prejudices about a subject have less of an impact.
- Conduct research in an accessible manner: A case study does not need you to work in a lab. The case study approach is used by researchers in a variety of situations to explore phenomena that cannot be repeated. The case study technique is used by researchers in a variety of situations to examine things that cannot be duplicated in a laboratory environment, such as studying the spending patterns of a group of people over a number of months.
Statistical models are tools used to help analyze vast volumes of data. Experts employ statistical models as part of statistical analysis, which includes the collection and evaluation of quantitative data. A statistical model can help you evaluate the characteristics of a sample size within a certain population and apply your findings to a wider group. While statisticians and information analysts are more likely than other professionals to utilize statistical models, advertising representatives, business executives, and government officials may all benefit from knowing statistical models.
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