Observations

Basic analysis of Likert Data   In 1932, Rensis Likert, an American Psychologist, developed a method for measuring attitudinal scale by classifying response to a statement on a scale given as Strongly disapprove, Disapprove, Undecided, Approve, Strongly approve . This data is now known as Likert data, Likert response, or Likert items.    We have discussed basics about Likert items and formation of Likert Scale from Likert items, their properties and how they need to be understood in the realm of field of making questionnaire about qualitative characteristics so that they could be analysed in digital formats. To read the basics again, may click here to read more about it.   Once response is collected, what tools are available for analysis of such data is the main subject of this article and what limitations are there on which we should delve upon while using such tools.    We will not discuss the details of such tools, rather name them in order to have a bir...

Sentimental Survey : Likert Data In 1932, Rensis Likert, an American Psychologist, developed a method for measuring attitudinal scale by classifying response to a statement on a scale given as Strongly disapprove, Disapprove, Undecided, Approve, Strongly approve . This data is now known as Likert data or Likert response.8 Likert Data is on a scale, and therefore is a scale type data, and is used mostly in sentimental surveys. It is also used in other surveys where opinion matters. Likert items are used to measure respondents’ attitudes to a particular conjecture or statement. The data is usually coded,  for example as follows. •1 = Strongly disagree • 2 = Disagree • 3 = Neutral • 4 = Agree • 5 = Strongly agree General Properties: A)- Likert data is an ordinal data, i.e. the choices or scores are having some sense of ascend (or descend if going in reverse). Because of this inherent order in options, they are ordinal data. Thus having one score is higher than the another. B)- The opt...