Research methods and research methodology are closely related, but they do not mean the same thing. If you are writing a thesis, proposal, or research article, understanding this difference will help you write your methodology chapter more clearly. A strong methodology chapter should show both the overall research plan and the specific methods used to … Read more
Research methodology is one of the most important parts of academic research. It explains how you plan to conduct your study and how you will produce reliable evidence to answer your research question. Research methodology and research methods are related, but they are not exactly the same. Research methods are the specific tools or techniques … Read more
Academic research is a systematic process of studying a topic, problem, or question using evidence, logic, and accepted research methods. You usually encounter academic research when writing a thesis, dissertation, research paper, or journal article. However, academic research is not just searching information from books, websites, or reports. It requires a clear research problem, relevant … Read more
Exploratory Factor analysis is built on the premise that the variables in your dataset are correlated. If your variables are independent (meaning they don’t share any common variance), factor analysis simply won’t work. You can’t extract a “construct” from variables that have no relationship to one another. Here Bartlett’s Test of Sphericity becomes important to … Read more
If you are preparing to conduct factor analysis for a thesis, dissertation, or research paper, one of the first questions you must answer is whether your data are suitable for exploratory factor analysis. The Kaiser-Meyer-Olkin (KMO) test helps answer this question by showing whether your questionnaire items share enough common variance to justify extracting underlying … Read more
If you are writing a Master’s thesis, PhD dissertation, or journal article using survey data, you may have reached the stage where you need to check whether your questionnaire items actually measure the constructs you intended to measure. This is where Exploratory Factor Analysis (EFA) becomes important. and this page discuss about how to conduct … Read more
If you are trying to understand what the endogeneity problem in econometrics is, why it matters, and what is its basic example to understand, this post can help. Let’s start our learning. What Is the Endogeneity Problem? Consider the simple population regression model: \[y_i = \beta_0 + \beta_1 x_i + \varepsilon_i \] One of the … Read more
Research is the continue pursue of knowledge. Whether you’re a student, an academic, or a professional, it is always difficult to articulate a good research question. It’s not just about selecting a topic, it’s more about identifying a question that is meaningful, feasible, and worth exploring in ongoing academic discussion. So, how do you find … Read more
Data analysis is a crucial step after constructing an econometric model. We need datasets to gather evidence supporting or refuting our hypotheses. There are various types of economic data sets but we will describe the types of data sets in econometrics which are considered as a key in our practical scenarios. Let’s start our discussion. … Read more
Before delving into the detailed study of econometrics, it’s crucial to understand its basics, specifically what econometrics is. Without a foundational understanding of the discipline, gaining broader knowledge becomes challenging. Let’s initiate our discussion to know its general overview. Introduction to Econometrics Econometrics is the combination of Mathematics, Economics, and Statistics. It employs statistical methods … Read more