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What is the correct sequence of statistical analysis of data? A. Gathering B. Analyzing C. Organizing D. Interpreting Choose the correct ans
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What is the correct sequence of statistical analysis of data?
A. Gathering B. Analyzing C. Organizing D. Interpreting
Choose the correct answer from the options given below:

A.

B, A, C, D

B.

A, C, B, D

C.

A, B, D, C

D.

C, A, B, D

Correct option is B

The Thurstone Equal-Appearing Interval Scale is a method used to measure attitudes by selecting statements that represent equal intervals along a continuum of favorability. The sequential steps in constructing this scale are:
1. Collection and Editing of Items (A):
· Gather a large number of statements related to the attitude being measured.
· Ensure that statements cover a wide range of opinions.
2. Calculating Scale and Q Values (B):
· Experts rate each item on a continuum from least favorable to most favorable.
· Calculate scale values (median score) and Q values (interquartile range) to determine item placement.
3. Sorting Items on Different Continuum (D):
· Items are placed along a scale based on their median scale value.
· Only items with low Q values (indicating high agreement among judges) are retained.
4. Finalization of Items (C):
· Select final items that are evenly spaced along the attitude continuum.
· Remove ambiguous or inconsistent items.
Thus, the correct sequence is A → B → D → C, making the correct answer (b) A, B, D, C.
Information Booster:
Characteristics of the Thurstone Scale:
· Uses equal-appearing intervals to measure attitudes.
· Items are selected based on expert judgment.
· Avoids bias by ensuring uniform item distribution.
· Provides precise and reliable measurement of attitudes.
Why Use the Thurstone Scale?
· Suitable for complex attitudinal studies.
· More accurate than Likert scales for distinguishing subtle attitude differences.
· Helps in psychological and social research where graded responses are needed.
This method ensures a balanced representation of different attitude levels, making it highly effective in attitude measurement.

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