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PSYC 515 Quiz 2 - Independent Groups Designs | Score 46/50 | Liberty University

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PSYC 515 Quiz 2 - Independent Groups Designs | Score 46/50 | Liberty University

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COURSE MENU PSYC515_B07_202520 > Quizzes > Quiz: Independent Groups Designs



Home Quiz: Independent Groups Designs Submission details:
Announcements o A S i N o ___ . Time: 33 minutes
Due 26 Jan at 23:59 Points 50 Questions 25 Time limit None
Assignments - R B B Current score: 46 out of 50

Discussions Kept score: 46 out of 50
This quiz is no longer available as the course has been concluded.
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Score for this quiz: 46 out of 50
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Question 1 2/2pts


The formula for the independent-samples t test is



Mp/SDp

Mp/ SDy _x

My — My/SDx - x

My - Mo/ SDp




Incorrect


Question 2 0/2pts


We can increase the power of our study by using a very diverse group of participants.



True


False




Question 3 2/2pts

The effect size for an ANOVA is computed using



point-biserial squared


eta?


Levene's test


Cohen's d




Question 4 2/2pts


A multiple independent-groups design examines the effect of one IV with at least three levels on a
DV.



True


False




Question 5 2/2pts

In a simple experiment examining the impact of violent games on aggressive thoughts, we might
have participants play a violent game for 45 min rather than 5 min. This decision reflects our
attempt to maximize power by

, using similar participants in our study


controlling conditions in our experiment


ensuring that our IV is valid and reliable


using a strong manipulation of our IV




Question 6 2/2pts

Conducting a pilot study can help the experimenter to identify and eliminate possible confounds in a
study.



True


False




Question 7 2/2pts


The inferential statistic used to analyze two-group designs is called the



independent-samples ANOVA


independent-samples t test


independent correlation coefficient


one-sample t test




Question 8 2/2pts

Multiple Comparisons
Dependent Variable: Happiness
LSD _ _
() ) Mean Std. Sig. 95% Confidence
Group Grou | Difference Error Interval
p (=) Lower Upper
Bound Bound
1 2 4.65000%| .72785| .000 3.0480 6.2520
3 .75000| .72785| .325 —.8520 2.3520
2 1 —4.65000%| .72785| .000 -6.2520 -3.0480
3 —3.90000%| .68623| .000 -5.4104 —2.3896
3 1 —75000| .72785| .325 -2.3520 8520
2 | 390000%| 68623 .000 2.3896 5.4104
*The mean difference is significant at the 0.05 level.


The post hoc test above shows that



Group 2 significantly differs from Groups 1 and 3 which do not differ


we do not know if the groups differ without applying the Bonferroni correction


Group 3 significantly differs from Group 1 but not from Group 2


there are no differences between the group means for happiness




Question 9 2/2pts


Assumption for a one-way independent samples ANOVA include



at least one IV with three or more levels


DV is ordinal scale


variability in each sample significantly differs


groups are independent




Question 10 2/2pts


The value of F will always be positive.



True


Faleca

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