Zinc absorption is inhibited by

What is the difference between concurrent-measures designs and repeated-measures designs?

Scenario: You pick up a newspaper and read the headline: “Higher income is linked to greater marital satisfaction!” You tell your friend about the study you read and she responds: “I’m curious as to whether there is a causal link between the two variables, such that having a higher income causes higher levels of satisfaction. I know we can’t manipulate income level, but I wonder if we could use a multivariate design to see whether this relationship still holds after controlling for participant life satisfaction?” Question: Provide a recommendation to your friend to address her question about whether the relationship holds after controlling for life satisfaction. Include the following details: 1. Discuss the type of multivariate design you recommend and why. 2. Discuss which of the 3 criteria for causality the multivariate design you chose helps to address. 3. Discuss how you would conduct a study to determine whether the relationship holds after controlling for life satisfaction. 4. Identify the predictor(s) and criterion variable(s) in your study.

Imagine you calculated the correlation coefficient for the data presented in the figure below, and the result was r = –.44. Looking at the figure, how would you know the number you calculated is incorrect?   

A result is stated as “not statistically significant” whenever

Dr. Lowe has decided to measure how happy his students are with his teaching this semester. He is teaching two classes this semester—Research Methods and Social Psychology. He gives his students a survey. A total of 43 of 50 Research Methods students and 46 of 48 Social Psychology students complete the survey. Based on this information, which of the following can Dr. Lowe say?

DR. CAROL SCENARIO: Dr. Carol conducts a study examining the relationship between exam performance, number of class absences, and amount of time spent studying in a large random sample. Below are her findings. Assume we are using .05 as our level of significance. Exam performance and number of class absences: r = −.67, p = .01 Exam performance and time spent studying: r = .31, p = .04 Number of class absences and time spent studying: r = .04, p = .66 Dr. Carol has decided to examine one of her relationships with a scatterplot to double-check for a curvilinear relationship. Which relationship will be most important for her to examine?

Below is a multiple regression table from the Bazzini et al. (2010) article.     The following is an appropriate description of the results: The relationship between beauty and goodness is significant and positive, even when character role is controlled for.

Participants completed a self-report conscientiousness scale using response options that ranged from 1 (strongly disagree) to 7 (strongly agree).  If a participant marks a “6” for an item that needs to be reverse-scored, what new value you should you assign to the participant?

DR. CAROL SCENARIO: Dr. Carol conducts a study examining the relationship between exam performance, number of class absences, and amount of time spent studying in a large random sample. Below are her findings. Assume we are using .05 as our level of significance. Exam performance and number of class absences: r = −.67, p = .01 Exam performance and time spent studying: r = .31, p = .04 Number of class absences and time spent studying: r = .04, p = .66 Dr. Carol creates a scatterplot of the relationship between exam performance and number of class absences. In doing so, she realizes there are three scores that seem to be very extreme and are nowhere near the other points on the scatterplot. Specifically, it appears that three people report very high levels of class absences and very low levels of exam performance. Which of the following statements is NOT true?