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It has been an amazing lesson experience and I am truly over the moon with the quality of this thesis. With his guidance I was able to experiment Autoregressive distributed lag ARDL models, Autoregressive Moving average ARMA models as well as Autoregressive Conditional Heteroscedasticity ARCH models, as part of my dissertation. Despite the fact that I spent quite some time while working on my thesis, I was surprised to see how the academic value of my dissertation improved within a short frame of time, because of his continual feedback. From adjusting my original research notions into well-structured research hypothesis, to structuring research design and in choosing quantitative tools to suit research needs, he has been superb.
SHAHRZAD SERIES 2017 NO 7 PROFESSIONAL
I found him to be an extremely professional person with quality knowledge, immense proficiency in research skills and untiring nature. Proficient and dependable! Syed is an outstanding researcher as well as an excellent mentor with lots of precision and patience in his coaching and in providing the feedback. Quantitative methods are widely been used in Business administration, Economics, Sociology, Psychology, Political Science, Media studies, Education, and Medical Sciences.
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In addition to that if there is a further need for making graphs, and writing equations, the digital tablet is used with the Microsoft Whiteboard and screen sharing options, so that student(s) get the similar feel of a live classroom. The applied aspect of data analysis is facilitated by R, Stata, Minitab, or packages like SPSS. To facilitate digitalized learning in online tutoring, I supplement all the stated packages through screen sharing, so that all steps and procedures related to the data management and the analysis of the data, may directly be visualized. Claiming high or moderate confidence about the validity of your analysis, keeping in view limitations of the study is strongly been suggested for students and professionals. For the balanced write-up of the technical part of the paper, it is important to suggest some loss of information, measurement errors, if any. Validating model estimates, explaining the model utility, testing goodness of fit, and evaluating findings of specification tests are important parts of a research project. Once the data has been analyzed, it is important for us to explore the underpinning of results, to rationalize them as part of the write-up of the paper.
SHAHRZAD SERIES 2017 NO 7 FULL
Regardless of your preferences for qualitative research, doing quantitative research and the ability to evaluate quantitative works should not be a limitation/ inability, for persons who have their full career ahead. It is important for us to carefully select the most suitable tools for the analysis of the data, by synchronizing methods with study objectives, and with the nature of the data at hand. In addition to the use of descriptive and inferential statistics, and the application of econometric modeling, sometimes research hypotheses require the application of either game theory or the mathematics of optimization. Are you skeptical and worried about your understanding and skills in quantitative stuff, and methods? I prefer the following considerations while teaching the Quantitative Methods course:īefore moving towards the selection of suitable tools for the analysis of the data, it is imperative that we explore key features of the data, and check how each of the variables has been quantified in terms of continuous quantitative, discrete quantitative, ordinal, binary, or in form of categorical data.Ĭhoosing among alternative quantitative methods: