Clustering: What does it mean?

The most unverified learning problem can be called Clustering. Like all other problem of similar nature, it focusses on exploring a structure in a compiled data that is unlabelled. A very novice definition of clustering would be the process by which organising objects into groups which has members that have similarities in some or the […]

What are the types of Interview methods that are used for Data collection?

Interviews are one of the key means of data collection which is primary data.The data that is collected gives more detailed information and it helps in in depth analysis. Interviews can be of varied types. These are: According to Formality: These are formal interviews and has a set of well-defined questions that have been presented […]

Another cycle which is called: The Research Hype Cycle

Whenever there is an innovation trigger in the market, it is followed by a generalized process of four stages. These four stages could be named as: Peaks of Inflated Expectations Trough of Disillusionment Slope of Enlightenment Plateau of Productivity These stages could be explained in the field of research technology in a very interesting manner. […]

The Importance of Following a Documentation Style

In academic writing, you are usually asked to follow a specific documentation style while developing your paper. It is actually a standard approach for the way you cite your references in a document. A specific style is not only applicable to citing resources, but also to format every aspect ranging from margins to headings. When […]

How to Speak and Act with Data

Whatever be the industry or the nature of the business, different quality management tools and programs that range from lean, six sigma, Kaizen, ISO. They have something universally common and that is their dependency on data. That is their fundamental dependency. Even though the approaches and the techniques, time span and other details of these […]

Common Statistical Mistakes to be avoided

It is easy, rather easiest to make mistakes that involve statistics. Powerful statistical software can help to remove a lot of errors and simplify the difficulties that surround statistical calculations. However, correct interpretation of the result analysis is always all the more challenging. Some of the most commonly made statistical mistakes are:  Misinterpretation of overlapping […]

The merits of Univariate Analysis

Students who are doing projects involving statistical analysis often face the question of what kind of tests they should conduct to derive the hidden meanings behind the numbers they have collected. The students are given the choice of a plethora of methods in data analysis. Some of them choose to use complex techniques, while others […]

Types of Errors

Random Error: It is caused by any of the factors that have a random effect on the measurement of the variables across the sample. To explain better by an example, the performance if a person can pick up degrade by the effect of their mood. In a particular kind of testing on children the mood […]

Confounding Variables and Validity

Confounding Variables A variable that is confounding is an external variable that has a statistical correlation with the independent variable. This also indicates that whenever there is a change in the independent variable the confounding variable changes along with it. If sometimes the researcher may miss taking the confounding variable into account, then   the conclusion […]


It is also known as Q sort.  It is a systematic study of the participant viewpoints.  It is primarily used for investigating the perspective of the participants who represent distinct viewpoints on a common issue. It does that by ranking and sorting a series of statements. The responses of the participants are analysed by the […]