Are you in doubt about the validity of your analysis of the data?
Contemporary literature in social and behavioral sciences continues to incline towards the use of quantitative and semi-quantitative research paradigms!
Despite the liking and the preference for qualitative research designs, skillfulness in dealing with quantitative data and models is a prerequisite for researchers so that to avoid the incidence of bounded rationality: while evaluating previous researchers and to develop an indigenous stance and the narrative.
‘Profess’ provides a practical approach to the analysis of the data, from data management to the choice of suitable methodological tools, interpretation, and reporting of results. Following are the cautions that we take into account while dealing with the analysis of the data:
Choosing the most suited data analysis tools:
Emphasis is laid upon assessing and implementing the most appropriate tools and methods, keeping in view the type and the construct of the data. For applied research, it is deemed important to closely approximate the construct of the data with analytical needs/ research hypotheses.
Data Management:
Careful inspection and placement of the data are needed so that each of the variables is recognized properly by the analysis packages. Prominent forms of the data include quantitative data, ordinal data, binary or dummy variables, and categorical data.
Customization of analytical tools in packages of quantitative data analysis:
There are quite a few methods of data analysis that are available in packages of the data analysis, with several customized options. Careful choice of customized options is always an important instrument for valid and reliable analysis. We give high priority to this aspect of making credible choices.
Model estimates and interpreting results:
While finalizing the analysis of the data, careful inspection of the validity and credibility of estimates is needed. The validity of results implies rationalization, while credibility is inferred through significance/ insignificance.
Considering some potential pitfalls, in form of limitations and delimitations is always an important aspect while defending the work. We prefer mentioning the limitations of research, very explicitly.
Reporting results in specimen tabular formats:
While reporting results as part of the paper or a thesis, we follow international traditions and protocols of scientific writing.
Supplementing digitalized resources:
Presently, we are using Stata, SPSS, Minitab, and Statgraphics packages for empirical data analysis.
Along with the use of the data analysis packages, to facilitate digitalized learning in online tutoring, we supplement graphical tablets, the Microsoft Whiteboard, and screen sharing options, so that any questions by the students may well be explained on a whiteboard.
About the Data Analysis Supervisor
The data analysis supervisor has over 20 years of supervisory experience with students of Business Administration, Economics, Sociology, Political Science, Psychology, and medical sciences. Proficient in the use of packages such as R, Stata, SPSS, and Minitab.
Taught series of courses in ‘Data analysis and applied model building’ to students of social sciences and humanities, at the bachelor’s and master’s levels.
Reviews and recommendations
John
Perfect! A fantastic tutor, who is flexible with the choice of learning techniques, as he realizes the deficiency of his student. He taught me quantitative tools using Stata with a comprehensive explanation about their relevance, and how results are interpreted. He has been a very understanding and caring man, who spends time with dedication.
Initially, I was skeptical about spending hours with him through the webcam, but he managed things par excellence. It was like I was with him under the same roof.
Naadeem
He is hardworking, well organized, and carries good communication skills. He has an excellent command of Research methods and Quantitative modeling.
Rita
Great experience!
An excellent teacher, very humble, and makes you feel confident in your skills, just after a few lessons.
Being a student of Psychology, quantitive methods and statistics are amongst the core courses of my studies. I started the lessons with dread and had no prior knowledge of quantitative methods, statistics, and SPSS. He made things easy to understand and apply. Now I am very confident and optimistic.
I highly recommend him, if you need to learn Statistics and SPSS for Social Studies and Psychology.
Sigurdis
While working on my master thesis in sports physiotherapy, I got invaluable help from him in applied regression modeling, using SPSS. In choosing suitable regression models, validating, and evaluating models he was of great help and showed excellent pedagogic skills in making complex things simple. He was engaged, motivating and always made me feel that my understanding of the topic was his first priority. Very grateful for his help.
Now, during my MBA studies, it was my first priority to seek help from him again when I needed help with quantitative analysis and decision making, regression modeling, and how to report the findings. He showed outstanding commitment to his work, always structured in his teachings, and made sure that I understood both what was on the surface and beneath.
Professional and is highly recommended!
Amanda
Perfekt! I can absolutely recommend him to students who are struggling with quantitative methods and statistics (or just if you want to improve expertise in Stata). He is a really good teacher and explains relatively complex quantitative things using illustrations and in an easy manner. I have learned a lot from his tutoring. Tusen takk!
Pradeepan
Dedicated! He was really helpful in the application of the multinomial model for categorical variables, as I never expected that I will do this so well ….. I don’t have words to express my gratitude. Thanks.