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Example: Number of students in a class, Size of shoes (that is it
                                           may be 5 but not between 5 and 6) etc.

                                             b. Continuous Variable
                                             Continuous variables are variables for which data can take on
                                           any value in a certain range or interval. The characteristic of a
                  ◆ Value within a range   continuous variable is that, its values can vary within the limits and
                                           any value is possible. There is no gap in the scales of a continuous
                                           variable. They can take any value on the scale on which they are
                                           measured.
                                             Example: height, weight.

                                             II. Qualitative Variables/ Categorical Variable
                                             A  qualitative  variable  is  a  variable  that  is  not  numerical
                                           and  it  classifies  the  data  into  different  categories.  It  allows  the
                                           classification of individuals or objects based on some attributes
                  ◆ Represent              or characteristics. Qualitative variables are those variables which
                  ◆ Represent
                 characteristics           cannot be quantified but their presence or absence will be noticed.
                 characteristics
                                           Qualitative  variables  refer  to  those  that  cannot  be  manipulated
                                           once the investigation has begun and that consist of categories
                                           that cannot be ordered in magnitude. They are ready to use and
                                           descriptive in nature. Variables such as colour, gender, religion,
                                           marital status etc. are examples.

                                             Qualitative variables can again be classified into Dichotomous,
                                           Nominal and Ordinal Variables.
                                             a. Dichotomous Variables
                                             Dichotomous variables are those that have only two possible
                                           categories with an assigned value. Although these variables can
                                           technically be considered nominal, they are often considered as a
                  ◆ Represent              special case because their binary nature is an attribute that other
                  ◆ Two categories
                 characteristics           measures do not have. Some of the variables used in behavioural
                                           research are true dichotomies, that is, they are characterised by
                                           the presence  or absence  of a property:  alive/dead,  employed/
                                           unemployed. Other examples of two-valued variables are: teacher/
                                           non-teacher, viewers/non-viewers of television, etc..
                                             Example

                                             Athlete   Average point   Position   Won championship

                                               A            15.6           2              Yes


                                               B            12.3           3              No

                                               C            15.8           1              Yes







                 86      SGOU - SLM -MCom Research Methodology
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