Question

विश्वसनीयता प्राप्त परीक्षण प्राप्तांकों में सत्य प्रसरण का अनुपात है।" यह कथन है-(Reliability is
the ratio of true variance to test scores. This statement is)
O गैरेट (Garrett)
O एनेस्टासी (Anestasi)
O ब्राउन (Brown)
O गिलफोर्ड (Guilford)​

Answer 1

Answer:

विश्वसनीयता प्राप्त परीक्षण प्राप्तांकों में सत्य प्रसरण का अनुपात है।" यह कथन है-(Reliability is the ratio of true variance to test scores. This statement is) O गैरेट (Garrett) O एनेस्टासी (Anestasi)

Answer 2

Correct Question:

Reliability is the ratio of true variance to test scores. This statement is given by:

(a) Garrett

(b) Anestasi

(c) Brown

(d) Gullford

Answer:

The given statement is found to be given by: option (c) Brown.

Explanation:

Reliability:

Supposing, a person is given a test today, then the same test is administered to him after an interval of  time , and his scores are equal in both cases, then the test are going to be said to be reliable.

In the same manner, if a test is run on several individuals repeatedly, and its scores are equal just like the first instance, then the test are going to be considered reliable.

Brown's definition:

According to Frederick G. Brown, “Reliability  are often  defined as that ratio of true variance in a set of test scores to  the entire  or obtained variance.”

$R_{xx}=\frac{St^2}{Sx^2}$

Where, $R_{xx}$ = Reliability co-efficient of the test

$St^2$  = Variance of true score

$Sx^2$ = Variance of observed or obtained score

The more is true variance, the lesser  are going to be  error variance,  and therefore the  more reliable will the test be considered.

In fact, measurement of true variance  can't be  done directly, it can only be estimated. Therefore reliability may be a  imaginary attribute of test scores.

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