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Concept of Measurement
By
Dr.Satish Chand
Assistant Professor
Department of teacher Education
K.M.G.G.PG.College Badalpur G.B,Nagar
Meaning and definition of measurement
• Measurement is the process by which a characteristics of an
object,person or activity is perceived andunderstood on
specific standards and is described in standard words,symbol
and definite units.
• Thorndike,1918 “Anything that exists at all,exists in some
quantity,anything that exists in some quantity is capable of
being measured”.
• “Anythingthat exists in mount can be measured.”
Factors of measurement
• The above definition of measurement show that there are
four factors of measurement
• 1, The object ,person or activity any of which characteristics
has to be measured.
• 2, The characteristics of that object person or activity which
had to be measured.
• 3, The tools and devices of measuring such characteristic.
• 4, The person who measures it .
Measuring variables and their types
• Variable are two types –Qualitative variables and
Quantitative variables
• Qualitative variables-Some qualities of objects and person are such which
can only be perceived but they can not be measured in definite units,for
examplet caste,religion and sex of people. These qualities or characteristics
are called qualitative variable.
• Quantitative variable-variables-Some qualities of objects and
person are such which can be measured in definite units,or
quantity, forexample, height,weight,and I.Q.of person .Such
qualitities of persons are called quantitative variable.
• Quantitative varible are two types
• 1 Continuous variables
• 2 Descrete variables
Levels or Scales of measurement
• S.S.Stevens has devided the process of measurement in to four level or sclae
• 1 ,Noninal scale- The nominal level of measurement is the lowest of the four
ways to characterize data. Nominal means "in name only" and that should help to
remember what this level is all about. Nominal data deals with names, categories, or
labels.
• Data at the nominal level is qualitative. Colors of eyes, yes or no responses to a survey,
and favorite breakfast cereal all deal with the nominal level of measurement. Even
some things with numbers associated with them, such as a number on the back of a
football jersey, are nominal since it is used to "name" an individual player
• 2 Ordinal scale – The next level is called the ordinal level of measurement. Data at
this level can be ordered, but no differences between the data can be taken that are
meaningful.
• Here you should think of things like a list of the top ten cities to live. The data, here ten
cities, are ranked from one to ten, but differences between the cities don't make much
sense. There's no way from looking at just the rankings to know how much better life is
in city number 1 than city number 2.
• Another example of this are letter grades. You can order things so that A is higher than
a B, but without any other information, there is no way of knowing how much better an
A is from a B.
• As with the nominal level, data at the ordinal level should not be used in calculations.
continue
• 3, Interval Scale The interval level of measurement deals with data
that can be ordered, and in which differences between the data does
make sense. Data at this level does not have a starting point.
• The Fahrenheit and Celsius scales of temperatures are both examples of
data at the interval level of measurement. You can talk about 30 degrees
being 60 degrees less than 90 degrees, so differences do make sense.
However, 0 degrees (in both scales) cold as it may be does not represent
the total absence of temperature.
• Data at the interval level can be used in calculations.
• 4 ,Ratio scale The fourth and highest level of measurement is the ratio
level. Data at the ratio level possess all of the features of the interval level,
in addition to a zero value. Due to the presence of a zero, it now makes
sense to compare the ratios of measurements. Phrases such as "four
times" and "twice" are meaningful at the ratio level.
• Distances, in any system of measurement, give us data at the ratio level. A
measurement such as 0 feet does make sense, as it represents no length.
Furthermore, 2 feet is twice as long as 1 foot. So ratios can be formed
between the data.
• At the ratio level of measurement, not only can sums and differences be
calculated, but also ratios. One measurement can be divided by any
nonzero measurement, and a meaningful number will result.
Thank you

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Concept of measurement

  • 1. Concept of Measurement By Dr.Satish Chand Assistant Professor Department of teacher Education K.M.G.G.PG.College Badalpur G.B,Nagar
  • 2. Meaning and definition of measurement • Measurement is the process by which a characteristics of an object,person or activity is perceived andunderstood on specific standards and is described in standard words,symbol and definite units. • Thorndike,1918 “Anything that exists at all,exists in some quantity,anything that exists in some quantity is capable of being measured”. • “Anythingthat exists in mount can be measured.”
  • 3. Factors of measurement • The above definition of measurement show that there are four factors of measurement • 1, The object ,person or activity any of which characteristics has to be measured. • 2, The characteristics of that object person or activity which had to be measured. • 3, The tools and devices of measuring such characteristic. • 4, The person who measures it .
  • 4. Measuring variables and their types • Variable are two types –Qualitative variables and Quantitative variables • Qualitative variables-Some qualities of objects and person are such which can only be perceived but they can not be measured in definite units,for examplet caste,religion and sex of people. These qualities or characteristics are called qualitative variable. • Quantitative variable-variables-Some qualities of objects and person are such which can be measured in definite units,or quantity, forexample, height,weight,and I.Q.of person .Such qualitities of persons are called quantitative variable. • Quantitative varible are two types • 1 Continuous variables • 2 Descrete variables
  • 5. Levels or Scales of measurement • S.S.Stevens has devided the process of measurement in to four level or sclae • 1 ,Noninal scale- The nominal level of measurement is the lowest of the four ways to characterize data. Nominal means "in name only" and that should help to remember what this level is all about. Nominal data deals with names, categories, or labels. • Data at the nominal level is qualitative. Colors of eyes, yes or no responses to a survey, and favorite breakfast cereal all deal with the nominal level of measurement. Even some things with numbers associated with them, such as a number on the back of a football jersey, are nominal since it is used to "name" an individual player • 2 Ordinal scale – The next level is called the ordinal level of measurement. Data at this level can be ordered, but no differences between the data can be taken that are meaningful. • Here you should think of things like a list of the top ten cities to live. The data, here ten cities, are ranked from one to ten, but differences between the cities don't make much sense. There's no way from looking at just the rankings to know how much better life is in city number 1 than city number 2. • Another example of this are letter grades. You can order things so that A is higher than a B, but without any other information, there is no way of knowing how much better an A is from a B. • As with the nominal level, data at the ordinal level should not be used in calculations.
  • 6. continue • 3, Interval Scale The interval level of measurement deals with data that can be ordered, and in which differences between the data does make sense. Data at this level does not have a starting point. • The Fahrenheit and Celsius scales of temperatures are both examples of data at the interval level of measurement. You can talk about 30 degrees being 60 degrees less than 90 degrees, so differences do make sense. However, 0 degrees (in both scales) cold as it may be does not represent the total absence of temperature. • Data at the interval level can be used in calculations. • 4 ,Ratio scale The fourth and highest level of measurement is the ratio level. Data at the ratio level possess all of the features of the interval level, in addition to a zero value. Due to the presence of a zero, it now makes sense to compare the ratios of measurements. Phrases such as "four times" and "twice" are meaningful at the ratio level. • Distances, in any system of measurement, give us data at the ratio level. A measurement such as 0 feet does make sense, as it represents no length. Furthermore, 2 feet is twice as long as 1 foot. So ratios can be formed between the data. • At the ratio level of measurement, not only can sums and differences be calculated, but also ratios. One measurement can be divided by any nonzero measurement, and a meaningful number will result.