Pir Hassan Ali Shah post a question: How to do quantitative and qualitative data analysis after data collection? Give and review the answer in brief.
All family members, friends, associates, colleagues, scholars, bachelor, master, and graduate students, researchers, teachers of schools, professors of college and university, deans, faculty, staff, alumni, PhD and Mphil scholars, social media groups, and the general public who have collected the data but don't know how to analyse it properly.
To analyze quantitative data, begin with cleaning the dataset to remove errors or outliers. Use statistical software to perform descriptive statistics (mean, median, mode) and inferential statistics (regression, ANOVA) to identify patterns and relationships. You can use software like SPSS, Smart PLS, Stata and E-views mainly to analyze the data. The visual representation of the data in the form of charts or figures facilitates the reader.
While for qualitative data, transcribe the collected data and use coding techniques to categorize themes and patterns based on first order codes, themes and aggregate dimensions. Employ software like NVivo for systematic analysis will help you more. in addition, conduct thematic analysis to interpret meanings and insights, ensuring to cross-reference with existing literature for comprehensive understanding.
Pir Hassan Ali Shah post an answer to my question:
Thank you very much, sir.
Your answer will help all family members, friends, associates, colleagues, scholars, bachelor, master, and graduate students, researchers, teachers of schools, professors of college and university, deans, faculty, staff, alumni, PhD and Mphil scholars, social media groups, other groups, and the general public.
Anyone who would like to add more is welcome. Please try not to repeat the things already mentioned in the first answer.
E. Svensson, professor in Biostatistics, 20 years of research, consulting and teaching focusing at statistical methods for qualitative data and rating scales statistics.
It is great and also necessary that Pir Hassan Ali Shahto wants to study research methodology before publishing. Researchers must consider the fact that statistical models, results, and conclusion are valid only if the conditions of the design and the data for using the statistical methods chosen are met. There is no scientific excuse for using the same erroneous methods as other researchers by claiming the possibility of comparisons of results. Regardless of the misuse of some popular metric and parametric statistical methods among researchers, results and conclusions based on wrong statistical methods to the design and the data will always be wrong and useless.
Pir Hassan Ali Shah post a reply in answer to my question:
Thank you very much, Professor.
The file you share, when I try to download it, is empty. Your point of view is valid for reading research methods. not to copy and paste. Try to come up with new work.Choose design and methods if conditions are met. Kindly, instead of attaching a document, please write your point of view. Please elaborate if you want to add more.
Your answer will help all family members, friends, associates, colleagues, scholars, bachelor, master, and graduate students, researchers, teachers of schools, professors of college and university, deans, faculty, staff, alumni, PhD and Mphil scholars, social media groups, other groups, and the general public.
Anyone who would like to add more:Please try not to repeat the things already mentioned in the first two answers.
It must be stressed that it is not a "quick-fix" to statistical describe and evaluate research questions from quantltative and qualitative data. Statistical methods for description and analysis of quantitative data sets that are normally distributed differ completely from non-normal quantitative data as well as of "quantified" data from assessments on rating scales differ completely. Irrespective of the art of response-categories, rank-based statistical methods must be used. As researcher I recommend you to read
· Svensson E. Guidelines to statistical evaluation of data from ratings scales and questionnaires. Journal of Rehabilitation Medicine 2001;33: 47-48.
Pir Hassan Ali Shah post a reply in answer to my question:Thank you very much for your post and time, Professor.
Your point of view is valid to use rank based statistical methods and read your work in a research paper. What are rank based statistical methods? (Analyse data on the relative order or rank of data points relative to their actual values.)
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A good research project is founded on a clear and researchable question. In quantitative research, we process numbers, while in qualitative research, we process words. The two methodologies originate from different epistemologies. However, if you are utilizing mixed methods, be very clear about which approach is more appropriate for answering your research question. Is it the sequential explanatory, the sequential exploratory, or the parallel mixed method?
For the 'explanatory' approach, your qualitative dimension will explore deeper your major quantitative findings, and in the process, you will generate emerging themes. For the 'exploratory' approach, your starting point is qualitative research (e.g., focus group discussions, interviews), and your quantitative dimension will try to quantify these themes in the questionnaire. All procedures under the quantitative methodology must be correctly followed.
Pir Hassan Ali Shah post a reply in answer to my question:
Thank you very much for your post and time, sir.
Your point of view is valid to use three approaches to data analysis:
1. Quantitative data analysis
2. Qualitative data analysis
3. Mix data analysis
The above data analysis depends on the research question. Sure. Now instead of mixing everything I want and need help, support, answer, feedback, update, review and post from all people who like, are high tech expert, master with job, or doctor in the field of money, economics, finance, and accounting, statistics, mathematics, data analytics, and data science on just one part of my question that is
1. Quantitative data analysis
Please elaborate if anyone want to add more to just part 1 of my question, and don't try to mix everything.
Now I revise and review the question as below:
How to do quantitative data analysis after data collection? Give and review the answer in brief.
Your citations, following, recommending, and sharing as you read, write, listen, speak, see more, like, follow, send, save, copy, view, review, test, type, ask question, paste, share, post, subscribe, take pictures and images, save in your memories, computer, PC, Laptop, ipad, mobile, chat, mail, gmail, cite, connect, contact, give feedback, help, see file with profile, gallery, record, support, link, connect, and recommend with your family, friends, associates, colleagues, scholars, bachelor, master, and graduate students, researchers, teachers of schools, professors of college and university, deans, faculty, staff, alumni, PhD and Mphil scholars, social media groups, and the general public who do good, great work on the job, travel by flights, always do shopping for great books, buy clothes and dress online, drive cars, stay in home and hotels, buy, sell, trade in city and country stock market, join events that impact life, have fun, enjoyment and entertainment by watching live TV, videos, sports, free online game, a top story, films, movies, audios, radios, podcasts, help the general public, and view news in all weather and time.
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