You are a professor interested in studying the relationship between social media and mental health. You immerse yourself in the literature and read dozens of research articles. After reading the articles it was evident the field claims adolescents with more than 100 social media interactions (post, likes, comments, reactions) will have anxiety. You want to test this claim and decided to carry out a research study. Before you go out to recruit adolescents at a middle school you need to choose an instrument to use in your study that assess anxiety levels. You found two instruments after searching the internet. One instrument, called Form A, cost money to use it and is the gold standard in assessing anxiety levels in adolescent. The other instrument is a free instrument developed by a professor called Form B. You don't want to spend a lot of money buying Form A. If Form A positively correlated with Form B you can justify using Form B in your study. You get a random sample of 10 adolescents and give them Form A (yes you purchased only a few to test) and Form B (yes, you contacted the professor and asked for his permission to use his inventory). Both inventories are scored on an interval scale (continuous variables). Student 1 2 3 4 5 6 20. What correlation coefficient would you calculate to see if you could use Form B? Why? 7 8 Form A 5 8 6 7 8 955 8 Form B 6 7 8 4 7 w 00 00 8 8 3 I

You wish to determine the impact expressive writing has on days spent in the hospital for elderly adults. However, it is difficult to estimate the population average of days spent in the hospital. Thus, we recruit 14 elderly adults and randomly assigned half to either write expressively about their most traumatic life event or to write about their plans for that day- both groups write 20-minute essays four days in a row and six months later are asked how many days they have spent in the hospital. Expressive writing condition: 2, 5, 1, 4, 4, 2, 3 Control condition: 8, 8, 5, 2, 7, 5, 7 Which statistical test would you select: Ho: H₁: Enter the data above into and JAMOVI and use the correct statistical procedure to test the null hypothesis - answer the following questions: What is the mean difference between the two samples? What is the standard error of the mean? What is the appropriate 95% CI? [ What is the d-effect size? What is the t-observed? } Based on the p-value (a = .05) should…

Does the shape or color of a pain pill influence its effectiveness?  Although logically it shouldn’t, whether we believe a drug will work does have a powerful effect on our perceptions (e.g., placebo effect).  In this experiment, 4 groups of adult patients were given the same amount of Advil after dental surgery for pain relief, but the color and shape of the pill varied.  Researchers hypothesized that an unusual shape or color would lead people to believe the pills were new and special and thus would expect them to be more effective than common round, white pills. Researchers also wanted to know if there is an interaction between shape and color   what is the purpose and design of the study as well as the characteristics of the participants in the sample?

A study was conducted to explore the prevalence and impact of sleep problems on various aspects of people's lives. Staff from a university in Melbourne, Australia were invited to complete a questionnaire containing questions about their sleep behaviour (e.g. hours slept per night), sleep problems (e.g. difficulty getting to sleep) and the impact that these problems have on aspects of their lives (work, driving, relationships). The sample consisted of 271 respondents (55% female, 45% male) ranging in age from 18 to 84 years (M=43.9yrs). A student researcher is interested in examining whether the participants in the study sleep for 8 hours a night, the recommended average for adults. Proposed analysis and why you chose the analysis? Measurement type (i.e., nominal, ordinal, continuous) for variable(s) that will be used in the analysis? Null and alternative hypotheses (based on context of study) in symbols? id sex age weight height sleep 83 0 42 52 162 9…