Attached below is a detailed description of this assignment. Note: Please read all directions carefully and answer all questions carefully. Also, follow the rubric exactly, and use only readings from the textbook listed below and credible websites. The assignment is due no later than, January 20, 2019, Let me know if you have any questions or concerns. Module 4 Readings and Assignments Historical Research: https://digitalbookshelf.argosy.edu/#/books/9781323328798/cfi/6/202!/4/2/2/4/ :0 Analyzing Quantitative Data: https://digitalbookshelf.argosy.edu/#/books/9781323328798/cfi/6/220!/4/2/2/4/ :0
Title: Analysis of Historical Research and Quantitative Data in a Comparative Study
Introduction:
Historical research and the analysis of quantitative data are crucial components in the realm of social sciences. This study aims to explore the utilization of these two research methods and their effectiveness in conducting a comparative analysis.
Historical Research:
Historical research is a method that explores past events, actions, and stories to gain a comprehensive understanding of a particular phenomenon or culture. It relies on primary and secondary sources, including documents, artifacts, interviews, and archival materials, to gather, interpret, and analyze data.
Primary sources are firsthand accounts or original records of an event, while secondary sources are interpretations or analyses of primary sources. Both types of sources are significant for historical research as they provide different perspectives and allow for a more comprehensive analysis.
Quantitative Data Analysis:
Quantitative data analysis, on the other hand, involves the use of numerical data to examine relationships, patterns, and trends. It involves the collection of data through surveys, experiments, or existing datasets and its subsequent analysis using statistical methods.
The process of quantitative data analysis typically involves three stages: data collection, data coding and entry, and data analysis. During data collection, researchers gather information using various methods, such as questionnaires, observation, or experiments.
Once the data is collected, it needs to be coded and entered into a software program, such as SPSS or Excel. Coding involves assigning numbers or categories to different variables or responses. This step ensures that the data is organized and ready for analysis.
Finally, data analysis involves the application of statistical methods to identify patterns, correlations, and significant findings. This includes descriptive statistics, such as mean and standard deviation, as well as inferential statistics, such as t-tests or regression analysis.
Comparative Analysis:
Comparative analysis is a research method that examines similarities and differences between two or more cases. It provides a deeper understanding of the topic under investigation by analyzing how different factors influence outcomes or behaviors.
In this study, historical research and quantitative data analysis will be utilized to conduct a comparative analysis. The objective is to explore the impact of a specific historical event on two different regions and assess how various sociocultural factors affected the outcome.
Research Design:
To conduct this comparative study, a mixed-methods approach will be employed, combining historical research and quantitative data analysis. This approach will allow for a more comprehensive and robust analysis of the research question.
First, historical research will be conducted to gather primary and secondary sources related to the specific historical event. These sources might include documents, interviews, archives, and newspaper articles, among others. The analysis of these sources will provide a detailed understanding of the historical context and its implications.
Subsequently, quantitative data analysis will be performed using existing datasets or surveys. This will involve the collection of relevant data related to the sociocultural factors in the two regions being studied. The collected data will then be coded and analyzed using appropriate statistical methods.
Discussion and Conclusion:
The combination of historical research and quantitative data analysis in this comparative study will enable a comprehensive understanding of the research question. By examining both the historical context and quantitative data, this research will contribute to a deeper understanding of the impact of the specific historical event on the two regions under investigation.
In conclusion, historical research and quantitative data analysis are essential tools in social science research. This study aims to utilize a mixed-methods approach to conduct a comparative analysis, integrating historical research and quantitative data analysis. Through this comprehensive approach, a more nuanced understanding of the research question will be achieved.
