Wednesday, 13 October 2021

Rating Scale

 

Rating Scale

A rating scale is a set of categories designed to elicit information about a qualitative or a qualitative attribute. In the social science particularly psychology , common examples are the Likert response scale and 1-10 rating scale in which a person selects the number which is considered to reflect the perceived quality of a product. 

 Likert Scale Examples for Surveys

A psychometric response scale primarily used in questionnaires to obtain participant’s

preferences or degree of agreement with a statement or set of statements. Likert scales are a

non‐comparative scaling technique and are unidimensional (only measure a single trait) in

nature. Respondents are asked to indicate their level of agreement with a given statement by

way of an ordinal scale.

Most commonly seen as a 5‐point scale ranging from “Strongly Disagree” on one end to

“Strongly Agree” on the other with “Neither Agree nor Disagree” in the middle; however, some

practitioners advocate the use of 7 and 9‐point scales which add additional granularity.

A rating scale is a method that requires the rater to assign a value, sometimes numeric, to the rated object, as a measure of some rated attribute

Types of rating scales

All rating scales can be classified into one or two of three types:

1.    numeric rating scale

2.    graphic rating scale

3.    Descriptive graphic rating scale

Some data are measured at the ordinal level. Numbers indicate the relative position of items, but not the magnitude of difference. Attitude and opinion scales are usually ordinal; one example is a Likert response scale:

Statement

e.g. "I could not live without my computer".

Response options

1.     Strongly disagree

2.     Disagree

3.     Neutral

4.     Agree

5.     Strongly agree.

Some data are measured at the interval level. Numbers indicate the magnitude of difference between items, but there is no absolute zero point. A good example is a Fahrenheit/Celsius temperature scale where the differences between numbers matter, but placement of zero does not.

Some data are measured at the ratio level. Numbers indicate magnitude of difference and there is a fixed zero point. Ratios can be calculated. Examples include age, income, price, costs, sales revenue, sales volume and market share.


VALUE                          

High

Moderate

Low

None

 

 

 AGREEMENT

 

Strongly Agree

Agree

Undecided

Disagree

Strongly Disagree

 

 

 

Agree Very Strongly

Agree Strongly

Agree

Disagree

Disagree Strongly

Disagree Very Strongly

 

 

 

 

 

 

RELEVANCE

Excellent

Somewhat

Poor

QUALITY

• Very Good

Good

Acceptable

Poor

Very Poor

 

 

• Very Poor

Below Average

Average

Above Average

Excellent

 

 

Good

Fair

Poor

 

Three-Point Scales:

 

Extremely

Moderately

Not at all

Four-Point Scales:

 

Strongly Agree

Agree

Disagree

Strongly Disagree

Five-Point Scales:

 

Strongly Agree

Agree

Undecided

Disagree

Strongly Disagree

 

Excellent

Above Average

Average

Below Average

Very Poor

Seven-Point Scales:

 

Very dissatisfied

Moderately dissatisfied

Slightly dissatisfied

Neutral

Slightly satisfied

Moderately satisfied

Very satisfied

 

 

Very poor

Poor

Fair

Good

Very good

Excellent

Exceptional

 

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