Statistics & Research Methods-Measures of Variation (CBSE-NET (UGC) Psychology (Paper-II & Paper-III)): Questions 7 - 11 of 14

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Question number: 7

» Statistics & Research Methods » Measures of Variation

Appeared in Year: 2013

MCQ▾

Question

While evaluating the personnel selection programme, job performance was found to have a multiple correlation of 0.6 with the four predictors in the selection test battery. This means that the four predictors explain (December)

Choices

Choice (4) Response

a.

36 % variance in job performance

b.

40 % variance in job performance

c.

64 % variance in job performance

d.

60 % variance in job performance

Question number: 8

» Statistics & Research Methods » Measures of Variation

MCQ▾

Question

If one finds a positive correlation between degree of coffee drinking and the likelihood of heart attacks. One can conclude that:

Choices

Choice (4) Response

a.

Coffee drinking causes heart attack

b.

Individuals prone to heart attacks are predisposed to drink a lot of coffee

c.

An active life style of certain people causes heart attack

d.

All of the above

Question number: 9

» Statistics & Research Methods » Measures of Variation

MCQ▾

Question

The most widely used measure of correlation is

Choices

Choice (4) Response

a.

the Pearson r.

b.

Spearman’s rho.

c.

the rank-difference correlation coefficient.

d.

the Spearman-Brown prophecy formula.

Passage

A psychologist wanted to develop a numerical ability test for the student population. She wrote eighty multiple choice items, each item with five alternatives. The item analysis was carried out by finding discrimination index and item-remainder correlation for each item. Sixty items were retained in item analysis.

The new version, with finally retained sixty items was administered to a new sample (N = 400) twice with a time gap of eight weeks. The test-retest correlation was found to be 0.22, significant at. 01 level. The data obtained at the first administration of the sixty item version was also used for computing split-half reliability. The correlation between scores based on odd items and the scores based on even items was found to be 0.60. The split-half reliability coefficient was obtained after applying Spearman-Brown correction.

The scores obtained by the students were correlated with their marks in Mathematics in their annual examination which took place three months after the data collection. The product-moment correlation of 0.6 was obtained between test scores and mathematics. Norms were developed for the test. The normative sample yielded a mean of 40 and standard deviation of 8. The data were found to be normally distributed. As norms, percentile ranks were obtained.

(June 2014)

Question number: 10 (1 of 1 Based on Passage) Show Passage

» Statistics & Research Methods » Measures of Variation

MCQ▾

Question

Which of the following correlation is suitable while computing item-remainder correlation in the above analysis?

Choices

Choice (4) Response

a.

Spearman rank difference correlation

b.

Phi-coefficient

c.

Multiple correlation

d.

Point-biserial correlation

Question number: 11

» Statistics & Research Methods » Measures of Variation

Appeared in Year: 2013

Assertion-Reason▾

Assertion (Ꭺ)

Total variance of test score is the sum of true variance and error variance. (December)

Reason (Ꭱ)

True score and error score are independent of each other.

Choices

Choice (4) Response

a.

Both Ꭺ and Ꭱ are true and Ꭱ is the correct explanation of Ꭺ

b.

Both Ꭺ and Ꭱ are true but Ꭱ is NOT the correct explanation of Ꭺ

c.

Ꭺ is false but Ꭱ is true

d.

Ꭺ is true but Ꭱ is false

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