9. In a longitudinal study, researchers measured social media use and depressive symptoms in young adults over a six-year period. The results suggested that social media use is a symptom of depression, but not a catalyst for it. Which pattern of cross-lag correlations would provide the strongest support for this conclusion? Earlier depressive symptoms predict later social media use, but earlier social media use does not predict later depressive symptoms. b. Earlier social media use predicts later depressive symptoms, but earlier depressive symptoms do not predict later social media use. Earlier social media use predicts later depressive symptoms, and earlier depressive symptoms predict later social media use. d. Earlier social media use predicts earlier depressive symptoms, and later social media use predicts later depressive symptoms. а. C.

The president of a mid-sized state university has proposed lowering tuition rates in order to increase the school’s overall graduation rates (meaning she expects the two measures will be negatively associated with each other). She collects data on other similar universities, rating universities as “high” on tuition (above-average tuition costs) or “low” (below average tuition), as well as on their proportion of students who graduate in six years (categorizing with those graduating more than half of their students as “high” and those graduating fewer than half as “low”). A bivariate table with these data is below. Calculate the gamma and then write a sentence or two interpreting what it suggests about the relationship. Is there support for the president’s hypothesis?   Graduation Rate by Tuition Rate   Tuition Rate Graduation Rate Low High Totals Low   52    40 92 High   80   125 205 Totals 132 165 297

Welcome to my favorite game: Is it Correlational (Descriptive or Predictive) or Experimental? I am going to describe a study below. Your task is to identify whether this study is either correlational or experimental. If it is correlational, further indicate whether it is descriptive or predictive. Guidry et al. (2020) conducted a survey of 788 US adults on their willingness to get the COVID-19 vaccine. The results found that race (specifically, being Black) was related to less willingness to receive vaccine. Is this study design correlational (if correlational, also indicate if it is descriptive or predictive) or experimental?

In a study of 301 Hispanic women living in San Antonia, Texas, one variable of interest was the percentage of subjects with impaired fasting glucose (IFG). IFG refers to a metabolic stage intermediate between normal glucose homeostasis and diabetes. In the study, 24 women were classified in the IFG stage. The article cites population estimates for IFG among Hispanic women in Texas as 6.3%. Is there sufficient evidence to indicate the population of Hispanic women in San Antonio has a prevalence of IFG higher than 6.3%? Use 95% confidence level and the p -value method to form your conclusion. Choose the correct null and alternative hypothesis.

A researcher conducts a two-way ANOVA to determine how eating breakfast affects children's grades in school. Factor A has three levels: no breakfast, sugary breakfast, high protein breakfast. Factor B has two levels: males and females. Factor B has no main effect and there is no interaction effect. It is safe to conclude that _________. a. Factor A does not influence the participant's grades b. Factor B does not influence the participant's grades c. Factor A has an influence on the participant's grades d. Factor B has an influence on the participant's grades Clear my choice

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 an interaction. O a planned comparison. rist and Stangor (2001) studied prejudice and found that you can't predict a person's behavior toward minorities on the basis of whether they are high or low

What is the turkey HSD for week 0 and week 4 comparison?

A team of epidemiologists at the Mayo Clinic wanted to find whether there is an association between obesity and cardiovascular disease (CVD). They conducted a prospective cohort study following obese and non-obese individuals who were free of CVD at the beginning of study for five years. The investigators were also interested in assessing age as a potential confounder, effect modifier, or both. Use the data below to answer the accompanying questions.     CVD No CVD Total Obese 10 90 100 Not Obese 35 465 500 Total 45 555 600       CVD No CVD Total Obese 36 164 200 Not Obese 25 175 200 Total 61 339 400   1. Compute the appropriate measure of association for those who were less than age 50.  2. Compute the appropriate measure of association for those who were older or equal to age 50.  3. Compute the crude measure of association?  4. List three attributes that age must satisfy before it could…

A researcher is studying psychological factors in artistic achievement among teenage girls. One variable he is particularly interested in is perseverance. What information does a measure of variability for the variable perseverance convey? Check all that apply. What is the central tendency for the variable perseverance among teenage girls? What is the most common value for the variable perseverance among teenage girls? How spread out are the values for perseverance amoung teenage girls? Do all teenage girls have the same amount of perseverance?