Instructions for Q. Nos. 46 to 50. Read the Following Passage and Answer the Five Questions That Follow: Non-parametric analysis is an important area in the field of psychological research. The emphasis on the assumption of normal distribution is comparatively less when group/sample sizes are large due to some implications of central limit theorem. Nevertheless, for smaller group sizes relatively distribution free nonparametric alternatives to parametric methods are develope(D) Thus there are non-parametric alternatives to student's t test, oneway ANOVA et(C) When assumptions are reasonably met, parametric tests are more powerful. Certain types of tests, such as chi-square test, use frequency data to evaluate the differences between obtained and expected frequencies. Some associations/correlation measures have been developed using chi-square distribution. Statisticians like Kolmogorov and Smirnov developed tests which involve entire frequency distribution/s. Psychologists have profitably used these techniques in their researches46. Which one of the following test is closest to independent samples t test from power consideration point of view?

🎲 Try a Random Question  |  Total Questions in Quiz: 2045  |  🧠 Study this quiz with Flashcards
This question is part of a full practice quiz:
UGC NET Psychology Previous Papers Questions — practice the complete quiz, review flashcards, or try a random question.

2000+ psychology questions.

The UGC NET Psychology exam (paper 2) will have 100 questions and the total duration will be two hours. Each question carries 2 marks, so the exam will be worth 200 marks.

NTA UGC NET Psychology Syllabus:

1. Perceptual Processes :
2. Learning Process :
3. Memory and forgetting : 
4. Thinking and Problem Solving :
5. Motivation and Emotion : 
6. Human Abilities :
7. Personality :
8. Research Methodology : 
9. Measurement and Testing : 
10. Biological Basis of Behaviour : 
 


Instructions for Q. Nos. 46 to 50. Read the Following Passage and Answer the Five Questions That Follow: Non-parametric analysis is an important area in the field of psychological research. The emphasis on the assumption of normal distribution is comparatively less when group/sample sizes are large due to some implications of central limit theorem. Nevertheless, for smaller group sizes relatively distribution free nonparametric alternatives to parametric methods are develope(D) Thus there are non-parametric alternatives to student's t test, oneway ANOVA et(C) When assumptions are reasonably met, parametric tests are more powerful. Certain types of tests, such as chi-square test, use frequency data to evaluate the differences between obtained and expected frequencies. Some associations/correlation measures have been developed using chi-square distribution. Statisticians like Kolmogorov and Smirnov developed tests which involve entire frequency distribution/s. Psychologists have profitably used these techniques in their researches<br />46. Which one of the following test is closest to independent samples t test from power consideration point of view?