Man Ni Tarango (The Waves of Mind)

Scaling techniques is a big chapter. So, rather than writing a big blogpost covering many of them in one go, let us get started with the first and the most popular one (rating scale / Likert Scale)  Rating Scale :  A type of question to learn about how respondents feel about the item being surveyed. The respondents are asked to rate something from "Very Good" to "Very Bad". It is a variant of MCQs (Multiple Choice Questions). These are also called "Categorial Scales". One can use two to seven points scales (or even more), as, there is no rule about how many points scale can be used. But generally, three to seven points scales are used. It is advised by some that the number of point scales should not be odd, but even, as even number of points scales will not allow the respondents to display the "central tendency ticking" behaviour. For example, if the scale were: [ ]Very Good    [ ] Good     [ ] Neutral       [ ] Bad       [ ] Very Bad A person mi

 Please visit  Research Diaries (researchdiariesbypathikvariya.blogspot.com)  for all the previous entries of the research diaries by Pathik B. Variya 1. Nominal Data / Nominal Scale:  This type of dats is utilized to "label" a variable. In other words, it does not assign any "value" to that variable. The word "label" is critical in the sense that, here only "labeling" is done and not "quantification". For example, 1 = male, 2 = female or 1 = clerk, 2= manager, 3=engineer. So, we cannot say like 1<2 here. The dichotomous data is where only two choices are available. For example, what is your nationality 1=Indian, 2=NRI. 2. Ordinal Data / Ordinal Scale:  The word "order" (say, some kind of sequence) is the heart of this type of data/scale. Here, we can say that there is an order in which, the data is sequenced. For example, gold medalist, silver medalist. But, we cannot "quantify" as to "how much" better

  Dear Reader, *DISCLAIMER* Every example, text in this blog does not constitute any investment advice in any product or does not directly or indirectly promote any company / mutual fund/securities companies.  Please read all the five chapters of this blog at:  PPF (Practical Personal Finance) Series (ppfbypathikvariya.blogspot.com)  if you are new to this blog Frankly, this is going to be a very small post! This post just tries to give you an example, as to, what kind of asset allocation you should have, based on your risk tolerance profile. Please note that the text below does not constitute any investment advice. Neither I am qualified to offer any investment advice. The below text, primarily taken from  Best mutual funds SIP: Best mutual fund SIP portfolios to invest in 2020 (indiatimes.com)  has been used to demonstrate (as an example) as to how you should go about planning your asset allocation. If you visit this website, it clearly shows you how different portfolios of mutual fu

  1. What is Research Design?:  A research design is like a blue print to your research. It answers the questions about your research like What, Where, How much etc. It is a logical and strategic plan of your proposed research work. It is a framework for your research and includes the techniques you choose to do your research. It is about setting objectives or research and how these objectives will be realized.  It includes the following things: - The main point of the study / exact research problem - The reasons for doing the study - Types of data it will need and utilize and sources of the same and how the data will be collected - Sampling procedure/design/size - Data analysis tools and techniques - The place of the study 2. Types of Research Design: 2.1 Exploratory Research Design:  It seeks to explore the research questions. It does not provide any conclusion (that is why it is exploratory in nature). Sometimes, when the problem of research is not clear or properly understood, the

  1. Research Problem (Problem Statement/Problem Definition):   A research problem statement is the precise identification of what the research is proposed to be all about. It can be based on some problem that needs to be addressed, an assumption that needs to be validated, a curious observation with no explanation (the apple falling from the tree...) etc. One should generally look for some area, while writing a research problem statement, where there is some gap in research. For that, one needs to do literature review, on which, I will write a separate entry / blog.  The research problem should focus on one theme / area only and avoid trying to combine two areas.  For example, What is effect of discounts on consumer behavior and brand image? The better one would be (I am not implying this one is perfect, but compared to previous one, it is better) - What is the effect of discounts on brand image? The research problem should not have any bias towards a particular product, solution, pro

 Dear all, I am back after a reasonably a long time. I hope you and your near and dear ones are safe from Covid19.  Before you read further, I request you to read all the previous chapters of this blog at:  PPF (Practical Personal Finance) Series (ppfbypathikvariya.blogspot.com)  before reading this blog. It is because, without reading those chapters, you won't get the best out of this post. As the previous chapter ( PPF DIARIES: CHAPTER 4: ASSET ALLOCATION (ppfbypathikvariya.blogspot.com)  clearly defines what an asset is, let us pay some more attention to the idea of various asset classes. Because, the optimum returns are generated by keeping the right asset allocation, with reference to your risk profile. Some asset classes are traditionally available and some have emerged over time. Not all the asset classes are meant for every investor. But still, knowing about the various asset classes at your disposal is a good starting point. I have avoided going into the jargons as much as