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Attitude Measurement and Scales
PRESENTED BY
  Amiya Kumar Sahoo
  1ST Year PGDM student
  Innovation-The Business School
   Muktapur,Khurdha
Attitude
• Attitude may be defined as "Degree of positive or
  negative affect associated with some psychological
  object”.
Attitudes
Attitudes            Cognitive component
                     A Person’s belief or information
Evaluative           about the object
statements or
judgments            Affective Component
concerning           The emotional or feeling about the
objects, people,     product such as like or dislike, good or
or events.           bad
                     Behavioral Component
                     An intention to behave in a certain way
                     toward someone or something.
Measurement
Assignment of numbers to objects or persons
 to represent quantities of their attributes
The assignment of number is done according
 to some rules
The attribute of person would include his
 income,preference,religion,social class,attidues
 etc
Attributes of product would be
 speed,size,price,flavoour,quantity etc.
Scale
The ratio between the size of something and a
 representation of it
A measuring instrument for weighing; shows
 amount of mass
A topic which can create a great deal of
 confusion in social and educational research is
 that of types of scales used in measuring
 behaviour
Attitude Measurement and Scales
 The study and measurement of attitude is important
 It is assumed that there is a relationship between
  attitude and behavior
 For marketing decision the attitude behavior
  relationship helps to study customer thinking and like
  and dislikeness.
 And with the help of this he predicts the future.
                                    Action/
            Attitude
                                   Behavior
Types of scales used in measurement
Scales used for Market research have been
  divided in to 4 parts
They are
1. Nominal Scales
2. Ordinal scale
3. Interval scale
4. Ratio scale
Nominal Scale

 Numbers are used to label persons, events or
  objects
 It is the least powerful level of measurement
 It shows difference between things assigning them
  in to categories
 It is the counted data
 Statistics used-Mode,Contigency of co-efficient
Examples of nominal scale
Players in a football team
Colors of traffic light
Gender (female= 1; male = 2)
Sales Zone A = Islamabad, Sales Zone B =
 Rawalpindi
Drink A = Pepsi Cola, Drink B = 7-Up, Drink
 C = Miranda
Ordinal Scale
 An ordinal scale is one that arranges objects or
  alternatives according to their magnitude
 Objects are ranked in order with regard to some
  common variable.
 It tells us whether an event has more or less of
  characteristics than others.
 Numbers indicate the relative position of objects
  but not the magnitude of difference
 Statistics Used-Median,Percentile,Rank order co-
  relation
Examples
 Career Opportunities = Moderate, Good, Excellent
 Investment Climate = Bad, inadequate, fair, good,
  very good
 Merit = A grade, B grade, C grade, D grade
MONTHLY INCOME(RS)        NO OF CONSUMERS

Less than 5000            20
5001-8000                 30
8001-11000                25
11001-13000               20
13001 and above           12
Total                     107
Interval Scale
 More powerful than ordinal and nominal scale
 Object is measured on a continuum
 Arbitrary zero point
 Differences between objects can be compared
 Interval scales allow comparisons of the differences
  of magnitude (e.g. of attitudes) but do not allow
  determinations of the actual strength of the magnitude

Statistics Used-
Mean, Standard Deviation, Average Deviation, Product
    moment Co-relation,T-test,F-TEST
Examples
Temperature
Attitudes
Ratio Scale
 Most powerful measurement
 It have an absolute or true zero measurement
 Interval scale with fixed zero point
 Possible to say how may times greater or smaller one
  object is than another.
 Comparison of absolute magnitudes is possible
 Statistics used-
Geometric mean, Harmonic mean, Coefficient of
  variations
Examples
Income
Distance travelled from home to workplace
Height,weight,density
Market Share(1million in 2002and 1.5 million
 in 2003)
Attitude measurement and scales amiya 26 th march 2012

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Attitude measurement and scales amiya 26 th march 2012

  • 1. Attitude Measurement and Scales PRESENTED BY Amiya Kumar Sahoo 1ST Year PGDM student Innovation-The Business School Muktapur,Khurdha
  • 2. Attitude • Attitude may be defined as "Degree of positive or negative affect associated with some psychological object”.
  • 3. Attitudes Attitudes Cognitive component A Person’s belief or information Evaluative about the object statements or judgments Affective Component concerning The emotional or feeling about the objects, people, product such as like or dislike, good or or events. bad Behavioral Component An intention to behave in a certain way toward someone or something.
  • 4. Measurement Assignment of numbers to objects or persons to represent quantities of their attributes The assignment of number is done according to some rules The attribute of person would include his income,preference,religion,social class,attidues etc Attributes of product would be speed,size,price,flavoour,quantity etc.
  • 5. Scale The ratio between the size of something and a representation of it A measuring instrument for weighing; shows amount of mass A topic which can create a great deal of confusion in social and educational research is that of types of scales used in measuring behaviour
  • 6. Attitude Measurement and Scales  The study and measurement of attitude is important  It is assumed that there is a relationship between attitude and behavior  For marketing decision the attitude behavior relationship helps to study customer thinking and like and dislikeness.  And with the help of this he predicts the future. Action/ Attitude Behavior
  • 7. Types of scales used in measurement Scales used for Market research have been divided in to 4 parts They are 1. Nominal Scales 2. Ordinal scale 3. Interval scale 4. Ratio scale
  • 8. Nominal Scale  Numbers are used to label persons, events or objects  It is the least powerful level of measurement  It shows difference between things assigning them in to categories  It is the counted data  Statistics used-Mode,Contigency of co-efficient
  • 9. Examples of nominal scale Players in a football team Colors of traffic light Gender (female= 1; male = 2) Sales Zone A = Islamabad, Sales Zone B = Rawalpindi Drink A = Pepsi Cola, Drink B = 7-Up, Drink C = Miranda
  • 10. Ordinal Scale  An ordinal scale is one that arranges objects or alternatives according to their magnitude  Objects are ranked in order with regard to some common variable.  It tells us whether an event has more or less of characteristics than others.  Numbers indicate the relative position of objects but not the magnitude of difference  Statistics Used-Median,Percentile,Rank order co- relation
  • 11. Examples Career Opportunities = Moderate, Good, Excellent Investment Climate = Bad, inadequate, fair, good, very good Merit = A grade, B grade, C grade, D grade MONTHLY INCOME(RS) NO OF CONSUMERS Less than 5000 20 5001-8000 30 8001-11000 25 11001-13000 20 13001 and above 12 Total 107
  • 12. Interval Scale  More powerful than ordinal and nominal scale  Object is measured on a continuum  Arbitrary zero point  Differences between objects can be compared  Interval scales allow comparisons of the differences of magnitude (e.g. of attitudes) but do not allow determinations of the actual strength of the magnitude Statistics Used- Mean, Standard Deviation, Average Deviation, Product moment Co-relation,T-test,F-TEST
  • 14. Ratio Scale  Most powerful measurement  It have an absolute or true zero measurement  Interval scale with fixed zero point  Possible to say how may times greater or smaller one object is than another.  Comparison of absolute magnitudes is possible  Statistics used- Geometric mean, Harmonic mean, Coefficient of variations
  • 15. Examples Income Distance travelled from home to workplace Height,weight,density Market Share(1million in 2002and 1.5 million in 2003)