Question

Dr. Nguyen is studying the emotional effects of watching television (TV ) news. . After taking a pretest battery of measures, each of the 200 college students in her sample is randomly assigned to watch fifteen minutes of either good news on TV , bad news on TV , a funny TV show, or no TV at all. Her participants then complete an identical posttest battery of the same measures they completed at pretest. Results of her research appear in the graph.
- Why can Dr. Nguyen draw cause-and-effect conclusions from this research?
- Explain why a subsequent correlational study could provide more information than Dr. Nguyen’s study provides.
- Assuming all mean differences are significant, was there an effect of watching the news? Explain your response with data from the graph.
- Explain what conclusions could have been drawn if Dr. Nguyen used a measure of amygdala activation to measure responses of the groups.
- Suppose the students are from different cultures. According to Paul Ekman’s research, explain whether or not an observer would be able to recognize emotions from the students' facial expressions.
- Identify the dependent variable that Paul T. Costa and Robert R. McCrae would assume was measured in this research.
- Explain what a PET scan would indicate in the highlighted region of the brain when someone was participating in the three experimental groups.

Answer 1

Answer i think its Watching TV caused the tested college students' moods to change. and Watching a funny show caused the tested college students moods to decrease.

Explanation:

Answer 2

Nguyen can draw cause-and-effect conclusions from this research due to the fact that she conducted an experiment.

What is the effect of the research?

A subsequent correlation study would provide more information than Dr. Nguyen's study due to the fact that a correlation study would not only replicate Dr. Nguyen's results but would also be im[ortant in generalizing her findings.

If all mean differences are significant, there will be an effect of watching the news as there is an impact on the emotions.

In a situation where Dr. Nguyen used a measure of amygdala activation, she would have concluded that participants in the “Bad News” group will have higher than normal amygdala activity than the other groups due to the fact that the amygdala deals with negative emotions like fear or sadness.

If participants were from different cultures, in this case, the researcher might have been able to recognize the basic facial expressions of happiness, sadness, anger, and fear.

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