MB 0050
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Name: XXXXX
Roll number: XXXX
Learning centre: XXXX
Subject: MB 0050- RESEARCH METHODOLOGY
Assignment No.: Set 1
Date of submission at learning centre:
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ASSIGNMENTS
Subject code: MB0050
(4 credits)
Marks 60
subject NAME: RESEARCH METHODOLOGY
Note: Each Question carries 10 marks
Q1)a. Differentiate between nominal, ordinal, interval and ratio scales, with an example of each. b. What are the purposes of measurement in social science research?
a. Types of scales:
Ans) There are four types of data that may be gathered in social research, each one adding more to the next. Thus ordinal data is also nominal, and so on.
Nominal
The name 'Nominal' comes from the Latin nomen, meaning 'name' and nominal data are items which are differentiated by a simple naming system. The only thing a nominal scale does is to say that items being measured have something in common, although this may not be described. Nominal items may have numbers assigned to them. This may appear ordinal but is not -- these are used to simplify capture and referencing. Nominal items are usually categorical, in that they belong to a definable category, such as 'employees'.
Example
The number pinned on a sports person.
A set of countries.
Ordinal
Items on an ordinal scale are set into some kind of order by their position on the scale. This may indicate such as temporal position, superiority, etc. The order of items is often defined by assigning numbers to them to show their relative position. Letters or other sequential symbols may also be used as appropriate. Ordinal items are usually categorical, in that they belong to a definable category, such as '1956 marathon runners'. You cannot do arithmetic with ordinal numbers -- they show sequence only.
Example
The first, third and fifth person in a race.
Pay bands in an organization, as denoted by A, B, C and D.