# Section B _Group 7_Gugan N_13PGP080

Session 7: Now in this blog we will see about the theory of scale types.

The theory of Scale types is developed by the psychologist Smith Stevens. The different types of scale types are nominal, ordinal, scale.

Nominal:

It is Qualitative type and refers to discrete data such as name of the college, name of the book.

Nominal usually sounds like name. A Yes/No scale is nominal

Example of Nominal:

Suppose if the questionnaire is “What is your gender”. There will be 2 options 1. Male 2. Female.

ORDINAL:

It is in terms of power of measurement. It is in the order (i.e. Ranking) which is more important and

Significant and difference between each of them is not known.

Example of Ordinal:

#3 is better than #2 or #1 but we cannot quantify – How much better it is.

SCALE:

If we don’t know who comes first, who comes second, and then we have to see the magnitude difference between them. This is called SCALE. All scale numbers are ordinal by definition

The numbers may be continuous discrete and continuous. The former one has whole number while latter number included decimal values also

RULES FOR DATA:

They should be of continuous form and Numeric form. If all the values are missing values, then the variable is a continuous variable.

We have solved problems in SPSS which include finding out the frequency of the problem. Here we will do analysis, observation, interpretation and strategy in the order.

If we use continuous variable then we will get a BIG table as a output from the SPSS while going for the frequencies.

We also found out co-relation between different parameters using SPSS.

From the seventh session, we got to know about different scale types and also how to use SPSS for obtaining the frequency distribution, output and Co-relation.

Other Members: Amrit Jain, Ankit Saxena,  Jyoti Kanwatia, Nitin Sonkar,Sonam Supriya, Sumit Ranjan,Yogesh Sham Gupta