Measurement is the process of assigning numbers to objects and events in accordance with a set of rules. To grasp the full impact of measurement, it is important to understand the concept of a measurement scale. There are several different kinds of scales: nominal, ordinal, interval, and ratio.
Scales of Measurement:
1) Nominal (Label or category):
2) Ordinal (Rank order):
3) Interval (Rank order + Equal Intervals):
4) Ratio (Rank order + Equal Intervals + Absolute zero)
Frequency counts that represent the number of times that a particular event occurred are a common example of measurement on a ratio scale. But be careful not to confuse this use of frequency with the use of frequency as a summary statistic for data measured on a nominal scale (how many times observations fit a particular category).
Decision tree to determine the appropriate scale of measurement:
Hence, the Nominal < ordinal < interval < ratio is the correct order of measurement scales in increasing order of accuracy, precision, and the number of operations used.
The distinction among scales becomes of particular importance when we conduct statistical analyses of data. Underlying statistical tests are various
assumptions, including those relating to the scale of measurement. In other words, the scale of measurement for a variable can determine the most appropriate type of statistical analysis of the data.
Examples of Variables for Each Scale of Measurement  
Nominal (Label or category) 

Ordinal (Rank order) 

Interval (Rank order + Equal Intervals) 

Ratio (Rank order + Equal Intervals + Absolute zero) 

Match the items of Set  I with items of Set  II and select the correct code from the given options.
Set  I  Set  II 
(a) Nominal Scale  (i) Superior performance in musical events 
(b) Ordinal Scale  (ii) Performance scores on a spelling test 
(c) Interval Scale  (iii) Listing students according to participation in Cocurricular activities 
(d) Ratio Scale  (iv) Speed of students in writing words per minute 
Measurement is the process of assigning numbers to objects and events in accordance with a set of rules. To grasp the full impact of measurement, it is important to understand the concept of a measurement scale. There are several different kinds of scales: nominal, ordinal, interval, and ratio.
Scales of Measurement:
1) Nominal (Label or category):
2) Ordinal (Rank order):
3) Interval (Rank order + Equal Intervals):
4) Ratio (Rank order + Equal Intervals + Absolute zero)
Examples of Variables for Each Scale of Measurement  
Nominal (Label or category) 

Ordinal (Rank order) 

Interval (Rank order + Equal Intervals) 

Ratio (Rank order + Equal Intervals + Absolute zero) 

Measurement is the process of assigning numbers to objects and events in accordance with a set of rules. To grasp the full impact of measurement, it is important to understand the concept of a measurement scale. There are several different kinds of scales: nominal, ordinal, interval, and ratio.
Scales of Measurement:
1) Nominal (Label or category):
2) Ordinal (Rank order):
3) Interval (Rank order + Equal Intervals):
4) Ratio (Rank order + Equal Intervals + Absolute zero)
Hence, we can conclude that when a teacher prepares a list of the latest arrivals in the various libraries of the colleges of a university. His list reflects the number of books as reported. A ratio scale is implied in this example.
Examples of Variables for Each Scale of Measurement  
Nominal (Label or category) 

Ordinal (Rank order) 

Interval (Rank order + Equal Intervals) 

Ratio (Rank order + Equal Intervals + Absolute zero) 

Measurement is the process of assigning numbers to objects and events in accordance with a set of rules. To grasp the full impact of measurement, it is important to understand the concept of a measurement scale. There are several different kinds of scales: nominal, ordinal, interval, and ratio.
Scales of Measurement:
1) Nominal (Label or category):
2) Ordinal (Rank order):
3) Interval (Rank order + Equal Intervals):
4) Ratio (Rank order + Equal Intervals + Absolute zero)
Frequency counts that represent the number of times that a particular event occurred are a common example of measurement on a ratio scale. But be careful not to confuse this use of frequency with the use of frequency as a summary statistic for data measured on a nominal scale (how many times observations fit a particular category).
Decision tree to determine the appropriate scale of measurement:
Hence, the Nominal < ordinal < interval < ratio is the correct order of measurement scales in increasing order of accuracy, precision, and the number of operations used.
The distinction among scales becomes of particular importance when we conduct statistical analyses of data. Underlying statistical tests are various
assumptions, including those relating to the scale of measurement. In other words, the scale of measurement for a variable can determine the most appropriate type of statistical analysis of the data.
Examples of Variables for Each Scale of Measurement  
Nominal (Label or category) 

Ordinal (Rank order) 

Interval (Rank order + Equal Intervals) 

Ratio (Rank order + Equal Intervals + Absolute zero) 

In the question, the researcher wants to measure attitude. Attitude is a person's opinion of something.
So basically, the researcher wants to check the opinions of adolescents.
Tools of Data Collections: A tool is used to measure and gather data and helps researchers for evaluation.
1. Projective Technique:
2. Interview:
3. Rating Scale (Likert Scale)
I believe that ecological questions are the most important issues facing human beings today.
Strongly Disagree  Disagree  Undecided  Agree  Strongly Agree 
(1)  (2)  (3)  (4)  (5) 
4. Sociometry:
The researcher intends to ascertain the attitude of adolescents towards modernization, Likert scale is an appropriate tool.
Match the items of Set  I with items of Set  II and select the correct code from the given options.
Set  I  Set  II 
(a) Nominal Scale  (i) Superior performance in musical events 
(b) Ordinal Scale  (ii) Performance scores on a spelling test 
(c) Interval Scale  (iii) Listing students according to participation in Cocurricular activities 
(d) Ratio Scale  (iv) Speed of students in writing words per minute 
Measurement is the process of assigning numbers to objects and events in accordance with a set of rules. To grasp the full impact of measurement, it is important to understand the concept of a measurement scale. There are several different kinds of scales: nominal, ordinal, interval, and ratio.
Scales of Measurement:
1) Nominal (Label or category):
2) Ordinal (Rank order):
3) Interval (Rank order + Equal Intervals):
4) Ratio (Rank order + Equal Intervals + Absolute zero)
Examples of Variables for Each Scale of Measurement  
Nominal (Label or category) 

Ordinal (Rank order) 

Interval (Rank order + Equal Intervals) 

Ratio (Rank order + Equal Intervals + Absolute zero) 

Measurement is the process of assigning numbers to objects and events in accordance with a set of rules. To grasp the full impact of measurement, it is important to understand the concept of a measurement scale. There are several different kinds of scales: nominal, ordinal, interval, and ratio.
Scales of Measurement:
1) Nominal (Label or category):
2) Ordinal (Rank order):
3) Interval (Rank order + Equal Intervals):
4) Ratio (Rank order + Equal Intervals + Absolute zero)
Hence, we can conclude that when a teacher prepares a list of the latest arrivals in the various libraries of the colleges of a university. His list reflects the number of books as reported. A ratio scale is implied in this example.
Examples of Variables for Each Scale of Measurement  
Nominal (Label or category) 

Ordinal (Rank order) 

Interval (Rank order + Equal Intervals) 

Ratio (Rank order + Equal Intervals + Absolute zero) 
