Statistical Data Analysis Services

A theory is constructed for explaining some phenomena, situations in the real world or any behavior type. This theory helps to understand any problems or issues of a new finding and make a conclusion depending on the most important feature. Sometimes, theories are used for forecasting situations or any phenomenon (Fawcett & Downs, 2015). In the case of a  research paper or a dissertation , the theory is formulated to explain, predict and realize the phenomena which are assumed to happen in reality. In support of this theory, the  theoretical framework  is structured for introducing and describing the theory that can explain the reason for a reason for the research problem (Dawson, 2019). On the other hand, research methodology is considered as a significant part of a research paper. It includes the description of various ways and means for conducting the research. The principal aim of this research methodology is to explain the techniques which are useful or can b...

Structural equation modeling  (SEM) becomes a major statistical technique in examining complex research problems in marketing and  international business . In most research, the SEM uses covariance-based modelling and later few researchers argued to use the partial least square approach for SEM. In this blog, a critical review of the SEM technique presented in Richter et al (2014) is discussed with application to the business sector. SEM Study (SEM Using AMOS) Six journals related to  business management  and marketing have been considered and the articles related to SEM has been scrutinized for this purpose. After the classification of methods used, it is found that 379 articles used covariance-based SEM and 45 used partial least square based SEM. Researchers are often interested in finding the same results by using these both methods of Structural equation modelling. However, the consistency of the partial least square method or the development of a n...

In every  research studies , the scientist wants to identify the truth or they wish to develop meaningful insights into the problem. In order to make any valid conclusion about the  research problem or hypothesis , we need valid evidence. Moreover, the evidence can be represented by  collecting data  (numeric or non-numeric in nature). In any  statistical analysis ,   data collection  is the fundamental step and there are two forms of data collection;  Primary and Secondary method  of data collection. I will describe you the meaning of primary data, examples of primary data collection and different ways of collecting the same. Primary Data: The researcher collected the Primary data through surveys, experiments, interviews, etc, and it is considered to be the  best research methodology   as the data are collected from the original source. However, before collecting the primary data, the main task of the researcher is to identif...

In modern years, there is a growing demand in the field of  business analytics . It actually means that what outcome we should get in business from the data to make better decisions. This is often sound like relating a business problem to an operation research problem. However, there is often a question that arises in connecting the business analytics to the operation research problem. In this blog, I will explain to you the meaning of business analytics and how it is related and useful in the operation  research methods  or decision making including linear programming, inventory management, simulation, and Markov Chains. Analytics are used to identify (i) what has happened? (ii) What should happen? And (iii) what will happen? In the business. These three forms of question are categorized into  Descriptive, Prescriptive and Predictive analytics  respectively. Apart from the benefits and uses of business analytics, the main goal of business analytics is to i...

Posted by u/statswork just now What Approach Should I Take: Qualitative Or Quantitative – Statswork In practice, Data collection and Data Analysis involves two approaches: Qualitative and Quantitative approaches. Each approach has diverse kinds of objectives and statistical methodology.  Quantitative research Methodology  is useful in testing the assumptions and theories which are already Qualitative research is useful in understanding the concepts and formulating the theories.  Experimental research and surveys  are examples of quantitative research. Quantitative Research It focuses on testing the hypothesis we claim about the problem. Expressed by numbers, tables, and graphs Needs many observations The questionnaire should be in closed form i.e. with multiple-choice questions Qualitative Research It focuses on developing and formulating a hypothesis Expressed by words or text Needs a few observations The qu...