True or false: Increasing the effect index decreases the number of subjects required to obtain any given power.
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- 6. A psychologist believes a greater frequency of counseling is beneficial for clients suffering from severe depression. She tests this by steadily increasing the amount of therapy hours (low, medium, high) for a sample of clients. All participants rate their level of depression on a scale of 1 to 10 following treatment (higher numbers indicate a higher level of depression) Treatment Frequency Low Medium High 10 9. 4 8. 7 3 9. 10 6. 6. 8. 8. 7 9. 8. a. Perform a complete hypothesis test. Test at the .05 level of significance. b. Do you need to perform post hocs. Explain but do not compute the post hocs. c. Compute eta-squared. d. Summarize your findings in a source table.Two Different Depression Scales Example 1.28 introduces a study examining the impact of diet on depression. The study used two different ways to measure depression. One is the DASS (Depression, Anxiety, and Stress Scale) which uses self-reported symptoms, while the other is the CESD (Centre for Epidemiological Studies Depression Scale), which is a more involved clinical assessment. On both scales, higher numbers indicate greater depression symptoms.We are interested in whether we can use the self-reported data as a good predictor of clinical results (and hence a good starting point for patients). Figure below shows a scatterplot of the two depression scores for each of the 75 participants at the start of the diet/depression experiment (before the effect of any dietary intervention.) 70 60 50 40 30 20 10 10 20. 30 40 50 60 Self-reported (a) Does the association appear to be positive or negative? (b) Describe, in the context of this situation, the characteristics of a case in each of the…A researcher wants to test a new memory performance supplement that has shown some promise in primate studies where subjects were given the supplement followed by the task of identifying pictures of other animals three days later. The dependent variable was measured by the number of pictures correctly identified. The researchers noticed that while there was a positive correlation between the group given the supplement and number of correctly identified pictures as compared to the control group, they also notice that there seemed to be some variation between the males and females of the primates. Additionally, two different amounts of the drug have been proposed for consideration. Therefore, in the current study, the researchers want to divide the subject primates (N=60) by gender (male: n=30; female: n=30), and give them a 10 mg dose in one treatment condition, and a 25 mg dose in the other treatment condition. To do this, they are dividing each group of males and females in half, and…
- 11.3.4Two separate samples receive two different treatments. The first treatment group (N = 9) has a mean of 50 with SS = 710. The second treatment group (N = 6) has a mean of 60 with SS = 460. Is the second treatment group significantly larger than the first? What is the effect size?A certain training device measures reaction times of users by illuminating lights, one at a time, and measuring the time it takes the user to press each light to turn it off. The makers of the device are marketing it for high-level training, saying that even among professional athletes, the proportion who can score the top ranking of "light speed" is less than 22% . As a fitness trainer who wants to buy the device to attract more customers, you want to feel comfortable that the claim made by the makers is correct. To test the claim, you decide to perform a hypothesis test. To do so, you rent the device and have a random sample of 130 professional athletes use it; 26 score a ranking of "light speed." You confirm that it is appropriate to perform a Z -test. Why is a Z -test appropriate? Find z , the value of the test statistic for your Z -test. Round your answer to three or more decimal places. =z
- Omitting a variable from our model that has a causal effect on our dependent variable always leads to omitted variable bias. a. False b. True26. Earlier in this chapter we described a study by Bartholow and Anderson (2002) examining how the experience of violence in video games influenced ag- gressive behavior for males and females. Their results suggest that increased violence increase aggressive behavior for males but has little or no effect for fe- males. The following data are measures of aggressive behavior similar to the results obtained in the study. Nonviolent Game Violent Game Female Male 3 6 2 2 4 7 9 9 4 8 10 8 9 4 5 8 4 6 12 16 13 17 13 13 a. Use an ANOVA with a = .05 to evaluate the data. Describe the effect of the violent game compared with a nonviolent game on the aggressive behavior for males and for females. b. Calculate the effect size (n²) for each main effect and for the interaction.Help me please
- Investigation 3.2: Valence Differences Between R&B and Rap Genres (Paired)A music fan claims that R&B songs tend to have a more positive tone on average than do Rapsongs. The individual collected two independent random samples from the population of SpotifySongs. Fifteen R&B songs and another fifteen Rap songs were collected and their Valence wasrecorded. The music fan believed that pairing the song by their Danceability may provideadditional information. Danceability describes how suitable a track is for dancing based on acombination of musical elements including tempo, rhythm stability, beat strength, and overallregularity. A value of 0.0 is least danceable and 1 is most danceable. Thus, the individual pairedthe R&B song with the lowest danceability with the Rap song with the lowest danceability,followed by the second and second, third and third. She continued this process until the R&Bsong with the highest danceability was paired with the Rap song with the…You conducted additional studies with these men and found the following: The RR for those who drank one drink per day was 1.50 (95% CI:1.32-1.67) in comparison to the abstainers. For those men who drank three or more drinks per day the RR compared to the abstainers was 4.20 (95% CI 2.68-5.85). Which one of Hill’s criteria does this illustrate? Explain.They then decided to determine whether the effect of the phone depended on how dependent people were on their phones. They had participants complete a scale to measure phone dependence (e.g., I would have trouble getting through a normal day without my phone) and classified them as high or low in dependence. They then analysed working memory task performance in a 2 (location: outside, desk) x 2(dependence: high, low) ANOVA. In this design, "dependence" is a(n) O a. Independent variable O b. Extraneous variable O c. Dependent variable O d. Subject variable
