When two independent variables produce effects when combined that would not be present if each independent variables was manipulated in a separate study, we say that there is O no main effect. O only a measured variable O an interaction. O a planned comparison.
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- What is an experiment?Which of the independent variables retains the strongest association with the number of children a respondent has when all other variables in the model are controlled? What is that association? Which has the weakest when other variables are controlled?In studies examining the effect of humor on interpersonal attractions, McGee and Shevlin (2009) found that an individual’s sense of humor had a significant effect on how the individual was perceived by others. In one part of the study, female college students were given brief descriptions of a potential romantic partner. The fictitious male was described positively as being single and ambitious and having good job prospects. For one group of participants, the description also said that he had a great sense of humor. For another group, it said that he has no sense of humor. After reading the description, each participant was asked to rate the attractiveness of the man on a seven-point scale from 1 (very unattractive) to 7 (very attractive). A score of 4 indicates a neutral rating. The females who read the “great sense of humor” description gave the potential partner an average attractiveness score of M = 4.53 with a standard deviation of s = 1.04. If the sample consisted of n = 16…
- Does posting calorie content for menu items affectpeople’s choices in fast-food restaurants? According to results obtained by Elbel, Gyamfi, and Kersh(2011), the answer is no. The researchers monitoredthe calorie content of food purchases for children andadolescents in four large fast-food chains before andafter mandatory labeling began in New York City. Although most of the adolescents reported noticing thecalorie labels, apparently the labels had no effect ontheir choices. Data similar to the results obtained showan average of M = 786 calories per meal with s =85 for n =100 children and adolescents before thelabeling, compared to an average of M = 772 calorieswith s = 91 for a similar sample of n = 100 after themandatory posting.a. Use a two-tailed test with a = .05 to determinewhether the mean number of calories after theposting is significantly different than before caloriecontent was posted.b. Calculate r2to measure effect size for the mean difference.Whenever a two-factor experiment results in a significant interaction, you should be cautious about interpreting the main effects because an interaction can distort, conceal, or exaggerate the main effects of the individual factors. True FalseDoes posting calorie content for menu items affect people’s choices in fast food restaurants? According to results obtained by Elbel, Gyamfi, and Kersh (2011), the answer is no. The researchers monitored the calorie content of food purchases for children and adolescents in four large fast food chains before and after mandatory labeling began in New York City. Although most of the adolescents reported noticing the calorie labels, apparently the labels had no effect on their choices. Data similar to the results obtained show an average of M = 786 calories per meal with s = 85 for n = 100 children and adolescents before the labeling, compared to an average of M = 772 calories with s = 91 for a similar sample of n = 100 after the mandatory posting. Use a two-tailed test with α = .05 to determine whether the mean number of calories after the posting is significantly different than before calorie content was posted. Calculate r2 to measure effect size for the mean difference.
- A researcher is interested in examining whether doctors are as accurate at diagnosing certain illnesses via telehealth as they are in person. She randomly assigns a sample of doctors to either see patients via telehealth or in person, and assesses their diagnostic accuracy. What is the dependent variable?It appears that there is some truth to the old adage “That which doesn’t kill us makes us stronger.” Seery, Holman, and Silver (2010) found that individuals with some history of adversity report better mental health and higher well-being compared to people with little or no history of adversity. In an attempt to examine this phenomenon, a researcher surveys a group of college students to determine the negative life events that they experienced in the past 5 years and their current feeling of well-being. For n = 18 participants with 2 or fewer negative experiences, the average well-being score is M = 42 with SS = 398, and for n = 16 participants with 5 to 10 negative experiences the average score is M = 48.6 with SS = 370. a.) Is there a significant difference between the two populations represented by these two samples? Include whether you reject or retain the Null Hypothesis. Use a two-tailed test with α = 0.01 b.) Compute Cohen’s d to measure the size of the effect. c.) Write a…It appears that there is some truth to the old adage “That which doesn’t kill us makes us stronger.” Seery, Holman, and Silver (2010) found that individuals with some history of adversity report better mental health and higher well-being compared to people with little or no history of adversity. In an attempt to examine this phenomenon, a researcher surveys a group of college students to determine the negative life events that they experienced in the past 5 years and their current feeling of well-being. For n = 16 participants with 2 or fewer negative experiences, the average well-being score is M = 42 with SS = 398, and for n = 16 participants with 5 to 10 negative experiences the average score is M = 48.6 with SS = 370. Is there a significant difference between the two populations represented by these two samples? Use a two-tailed test with α = .01 [use the 4-step procedure]. [Remember to assess whether the assumption of homogeneity of variances is satisfied or not, alpha = .01…
- Does posting calorie content for menu items affect people’s choices in fast-food restaurants? According to results obtained by Elbel, Gyamfi, and Kersh (2011), the answer is no. The researchers monitored the calorie content of food purchases for children and adolescents in four large fast-food chains before and after mandatory labeling began in New York City. Although most of the adolescents reported noticing the calorie labels, apparently the labels had no effect on their choices. Data similar to the results obtained show an average of M =786 per meal with s = 85 for n =100 children and adolescents before the labeling, compared to an average M = 772of with s =91 for a similar sample of n = 100 after the mandatory posting. Use a two-tailed test with alpha = .05 to determine whether the mean number of calories after the posting is significantly different than before calorie content was posted.To demonstrate a causal relationship, the researchers must have appropriate time order and covariation between the variables, and they must have eliminated plausible alternative explanations. What is missing, if anything, in the following cause-and-effect assertions? Explain. A study looks at the promotion time for women and concludes that women face barriers to promotions. Proponents of free college education for all argue that teenage pregnancies and crime would be lower if everyone had the opportunity to go to college. An e-mail circulated stating that a study found that a majority of women who had breast cancer had used deodorant containing a specific chemical and argued that the government should ban that chemical.
