# Research Methods and Statistics-Correlational Analysis [GATE (Graduate Aptitude Test in Engineering) Psychology]: Questions 1 - 4 of 9

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## Question 1

### Question MCQ▾

Pearson-Yule debate is about.

### Choices

Choice (4)Response

a.

Phi coefficient

b.

Biserial correlation

c.

Point biserial correlation

d.

None of the above

Edit

### Passage

Read the following paragraph and answer the questions which follows:

A psychologist wanted to develop an achievement test in chemistry for SSC students of central schools. For this purpose, he wrote 110 items having multiple-choice format. He administered this draft version to a sample of 300 subjects. Item analysis was carried out by computing item-reminder correlations. The item analysis retained 80 items. The 80 items version was administered to a fresh sample of 400 subjects which yielded a mean of 40.00 alpha and standard deviation of 8.00. the scores were found to be normally distributed. Cornbach alpha for 80 item version was found to be 0.94. The psychologist also computed odd-even reliability and Kuder-Richardson (K-R) reliability for this version. On this version, one of the subjects Manas, had a score of 32. Since the 80 item version was considered long for administration, two forms, form A and form B were prepared by randomly assigning 40 items to each form.

## Question 2 (1 of 1 Based on Passage)

Appeared in Year: 2019

### Question MCQ▾

For computing item-remainder correlations, which one of the correlations would be suitable?

### Choices

Choice (4)Response

a.

Phi-coefficient

b.

Point-biserial correlation

c.

tra choric correlation

d.

Contingency coefficient

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## Question 3

Appeared in Year: 2019

### Assertion(Ꭺ)

According to classical theory of test scores, total variance is equal to true variance plus error variance.

### Reason(Ꭱ)

Classical theory of test scores assumes significant but low positive correlation between true scores and error scores.

### Choices

Choice (4)Response

a.

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

b.

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

c.

Ꭺ is true but Ꭱ is false

d.

Ꭺ is false but Ꭱ is true

Edit

## Question 4

Appeared in Year: 2019

### Assertion(Ꭺ)

If all the assumptions are fulfilled, addition of any predictor in the Multiple Regression Analysis will increase the value of coefficient of determination.

### Reason(Ꭱ)

Correlation of criterion variables with the predictor variables can be positive or negative

### Choices

Choice (4)Response

a.

Ꭺ is false but Ꭱ is true

b.

Ꭺ is true but Ꭱ is false

c.

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

d.

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

Edit