Statistics & Research Methods (CBSE-NET (UGC) Psychology (Paper-II & Paper-III)): Questions 129 - 132 of 160
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Question number: 129
» Statistics & Research Methods » Regression Analysis
The primary use of a regression equation in testing and assessment is to
Understanding the Fundamentals of Regression
What is regression analysis and why is it important?
convert one score or variable to another.
fix certain scores as an anchor for future scores.
transform scores derived in a different cultural context.
predict one score or variable from another.
Question number: 130
» Statistics & Research Methods » Measures of Variation
Appeared in Year: 2013
Total variance of test score is the sum of true variance and error variance. (December)
True score and error score are independent of each other.
|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|
Question number: 131
» Statistics & Research Methods » Basic Descriptive Statistics
Look at the following data for scores of 10 students on a test:
80 - 100
60 - 80
40 - 80
These data are presented in the form of
a frequency distribution.
a grouped frequency distribution.
a class interval distribution.
a nominal scale distribution.
Question number: 132
» Statistics & Research Methods » Factor Analysis
Appeared in Year: 2014
The 30 X 30 correlation matrix, representing the correlation among the thirty facet of the NEO-PI-3 were factor analyzed by three methods: (December)
1. Principal components method
2. Maximum likelihood method
3. Principal axes method and the five factors were extracted in each case.
Usually the variance explained by the factor solution would be in the following ascending order.
3, 2, 1
1, 3, 2
2, 1, 3
2, 3, 1