NTA-NET (UGC-NET) Psychology (04): Questions 5040 - 5043 of 5525
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Question 5040
Appeared in Year: 2020
Question Match List-Ⅰ List-Ⅱ▾
Match List I with List II
List-Ⅰ (Column-I) | List-Ⅱ (Column-II) |
---|---|
(A) Aggression | (i) Aggressive acts that violate commonly accepted social norms |
(B) Sanctioned Aggression | (ii) Any action intended to hurt another person |
(C) Prosocial Aggression | (iii) Aggressive acts that support commonly accepted social norms |
(D) Anti-Social Aggression | (iv) Aggression that is permissible according to the norms of the individual՚s social group |
Choices
Choice (4) | Response | |
---|---|---|
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a. |
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b. |
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c. |
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d. |
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Question 5041
Question MCQ▾
Which one of the following is not the purpose of designing an experiment?
Choices
Choice (4) | Response | |
---|---|---|
a. | To control error variance | |
b. | To study the influence of extraneous variance | |
c. | To maximize experimental variance | |
d. | To investigate the effect of independent variable |
Question 5042
Appeared in Year: 2020
Question MCQ▾
Which neurotransmitter is helpful in synaptic plasticity?
Choices
Choice (4) | Response | |
---|---|---|
a. | Acetylcholine | |
b. | GABA | |
c. | Glutamate | |
d. | Dopamine |
Passage
Read the given passage and answer the five questions which follow:
A researcher wanted to predict academic achievement using intelligence Test - A (IT-A) , Intelligence Test B (IT-B) , Type of school (rural/urban) , and conscientiousness as predictors. She used multiple regression analysis. She collected data on 200 students on all variables. The OLS estimator was used. The , for the entire model. In individual predictor analysis, lT- B was the insignificant predictor. The suitable test indicated homoscedasticity. The model and adjucted . Both intelligence tests are significantly correlated with the criterion variable and with each other.
Question 5043 (1 of 2 Based on Passage)
Appeared in Year: 2020
Question MCQ▾
Which of the following is the reason for insignificance of IT-B?
Choices
Choice (4) | Response | |
---|---|---|
a. | Poor predictive power | |
b. | Heteroscedasticity | |
c. | Multicollinearity | |
d. | Small sample size |