Statistics & Research Methods (CBSE-NET (UGC) Psychology (Paper-II & Paper-III)): Questions 151 - 155 of 161

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Question number: 151

» Statistics & Research Methods » Factor Analysis

Appeared in Year: 2015

MCQ▾

Question

“Factor Analysis is used as a means of confirming a structured model than as a means of discovering a structural model”, this is true of which theory of intelligence? (December)

Choices

Choice (4) Response

a.

Jensen

b.

Guilford

c.

Spearman

d.

Thurstone

Passage

Experimental personality research was extremely popular after 1950 for about three to four decades. In experimental personality research, one of the major focuses is to study how the effect of experimentally manipulated independent variable is moderated by personality variable/s. In one of such study, the researcher wanted to study whether the effect of interpolated learning (A) is moderated by Anxiety (B). The researcher hypothesized that the interpolated learning would adversely affect the recall of original learning, more in high anxious subjects than low anxious subjects. Using a standardized Anxiety scale, from an initial pool of two hundred subjects, fifty high and fifty low anxious subjects were obtained.

Both, high as well as low anxious groups were further divided into two groups-Experimental group and Control group. The experimental groups first learned List A of CVC trigrams then learned another List B of CVC trigrams with similar association values, and then tested for Recall (A). The subjects in control groups learned List A. then they received the cancellation task for the specific period (equal to the average time, taken by the corresponding experimental group to learn List B). The subjects were then tested for the Recall of (A). GroupWise means and standard deviations for recall scores were obtained.

The standard deviations were found comparable across the groups. Treating recall

Scores as the dependent variable, the appropriate ANOVA was carried out. The main effect of A was found significant at 0.05 levels. Similarly, the F-ratio, defined as MSA×BMSE was found statistically significant at 0.01 level.

Question number: 152 (1 of 1 Based on Passage) Show Passage

» Statistics & Research Methods » ANOVA or F Test

Appeared in Year: 2015

MCQ▾

Question

What would be the degrees of freedom for the numerator and denominator of the F-ratio defined as MSA×BMSE ? (December)

Choices

Choice (4) Response

a.

1 and 98 respectively

b.

2 and 97 respectively

c.

3 and 96 respectively

d.

1 and 96 respectively

Question number: 153

» Statistics & Research Methods » Inferential Statistics

MCQ▾

Question

The formula to compute correlation coefficient (r) is ________.

Choices

Choice (4) Response

a.

r=i=1n(XiX¯)(YiY¯)(n1)XiYi

b.

r=i=20n(XiX¯)(YiY¯)(n5)XiYi

c.

r=i=1n(YiX¯)(YiY¯)(n1)XiYi

d.

r=i=1n(XiX¯)(XiY¯)(n1)XiXi

Passage

Read the following paragraph and answer the five questions which follow:

Industrial psychologist wanted to study the job efficiency of the company executives in relation to MBA marks, selection test scores, evaluation score at the end of inhouse training. Job efficiency correlated with MBA marks (r = 0.40), selection test scores (r = 0.50) and the evaluation scores at the end of inhouse training (r = 0.60). All the three correlation were statistically significant. The multiple regression was computed using job efficiency as the criterion and the other three variables as the predictors. The three Predictors explained 56.25 percent of variance in the job efficiency. The industrial psychologist further thought that the communication skills assessment would enhance the predictability of-job efficiency. As such the communication skills of the respondents were also assessed, which correlated with job efficiency by 0.35, again a statistically significant value. However when communication skills were added as the fourth predictor in the multiple regression, the change in R2 (squared multiple correlation) was found to be insignificant. (Paper - 3 July)

Question number: 154 (1 of 5 Based on Passage) Show Passage

» Statistics & Research Methods » Measures of Variation

Appeared in Year: 2016

MCQ▾

Question

What percent of variance in job efficiency is explained by evaluation scores at the end of training?

Choices

Choice (4) Response

a.

40 percent

b.

60 percent

c.

36 percent

d.

64 percent

Question number: 155 (2 of 5 Based on Passage) Show Passage

» Statistics & Research Methods » Inferential Statistics

Appeared in Year: 2016

MCQ▾

Question

Which one of the following conclusion can be drawn on the basis of above paragraph?

Choices

Choice (4) Response

a.

The four predictors theoretically appear to be correlated, but we cannot infer about their intercorrelations from the data provided.

b.

Out of the four predictors, at least some are correlated with each other.

c.

All the four predictors (MBA marks, selection test scores, evaluation score at the end of inhouse training and communication skills) are uncorrelated with each other.

d.

Communication skills scores are uncorrelated with other predictors.

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