A clinical researcher would like to know whether a certain drug is more effective at treatinglepression than just psychotherapy alone. In order to study this topic, the researcher gains access toa population of individuals diagnosed with depression and administers surveys to a random subsetof that population. To assess the relationship between therapy type and depression symptoms, thesurvey asks participants what their current treatment plan involves (drug therapy, psychotherapy,both drug and psychotherapy, or no therapy) and what their current depression symptoms include.This study is a(n):observational studyrandomized comparative experimentstratified random sampleblock design

The study described is a randomized comparative experiment.In a randomized comparative experiment,…

Answered: A clinical researcher would like to…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

A research study examining differences in the effectiveness of three treatment conditions in combatting anxiety has three levels. True False
A psychologist at a private mental health facility was asked to determine whether there was a clear difference in the length of stay for patients with different categories of diagnosis. Looking at the last seven patients in each of the three major categories, the results (in terms of weeks of stay) were as follows. Using the data below, test whether the length of stay for patients vary based on category of diagnosis. Diagnosis Category Affective Disorders Cognitive Disorders Drug-related Conditions 7 12 8 6 8 10 5 9 12 6 11 10 9 11 9 5 10 11 6 9 12 The above scenario requires a one-way Anova, with a bar graph. Question - I need to write an explanation for the output given. I am to include a statistical notation and explanation as to whether the results are significant or not significant. Examples of Explanation: Non-significant:A One-Way ANOVA was conducted to examine whether a preceding situation (watching a…
Eighteen participants took part in an experimental study that consisted of three levels: normal classroom teaching, normal classroom teaching with tutors, and an experimental teaching method to increase student scores on a statistics exam. Your data set includes the following variables: Treatment (1 - normal classroom teaching; 2 - normal classroom teaching with tutors; 3 - experimental teaching method) Gender (1 – female; 2 – male) Pre-test score (higher scores represent better student performance on a statistics exam) Post-test score (higher scores represent better student performance on a statistics exam) Stanford-Binet Intelligence Test scores (IQ) The number of hours the student studied per week. Do test scores at pre-treatment differ from test scores at post-treatment? Note, this analysis should be conducted ignoring the treatment group they are in. Select an appropriate statistical test and state teh hullhypothesis.
Jason is interested in studying the effect of gender and social media usage on loneliness in college students. He obtained data from 30 men (10 men who had high social media usage and 10 men who had moderate social media usage and 10 who did not use social media much) and 30 women volunteers (10 women scored high on social media usage, 10 women moderately used the social media, and 10 scored low on social media usage) in their freshman year. Jason administered the Revised UCLA 20 item loneliness scale to measure subjective feelings of loneliness and social isolation to these 60 participants. A high score on the scale indicates higher feelings of loneliness. Participants rate each item on a scale from 1 (Never) to 4 (Often). There are two independent variables in the study (social media usage and gender) and one dependent variable, which is loneliness. The design for the study can be described as 3*2 ANOVA, number of levels of social media usage (low, moderate, high social media use)…
The authors of a paper describe an experiment to evaluate the effect of using a cell phone on reaction time. Subjects were asked to perform a simulated driving task while talking on a cell phone. While performing this task, occasional red and green lights flashed on the computer screen. If a green light flashed, subjects were to continue driving, but if a red light Flashed, subjects were to brake as quickly as possible. The reaction time (in msec) was recorded. The following summary statistics are based on a graph that appeared in the paper. n = 49 x = 530 S = 65 USE SALT (a) Construct a 95% confidence interval for u, the mean time to react to a red light while talking on a cell phone. (Round your answers to three decimal places.) Interpret a 95% confidence interval for μ, the mean time to react to a red light while talking on a cell phone. We are 95% confident that the mean time to react to a red light while talking on a cell phone is between these two values. There is a 95% chance…
Of all sports, football accounts for the highest incidence of concussion in the United States due to the large number of athletes participating and the nature of the sport. While there is general agreement that concussion incidence can be reduced by making rule changes and teaching proper tackling technique, there remains debate as to whether helmet design may also reduce the incidence of concussion. Rowson et al. (2014) report on a retrospective analysis of head impact data collected between 2005 and 2010 from eight collegiate football teams. Concussion rates for players wearing two types of helmets, Riddell VSR4 and Riddell Revolution, were compared. A total of 1,281,444 head impacts were recorded, from which 64 concussions were diagnosed. The relative risk of sustaining a concussion in a Revolution helmet compared with a VSR4 helmet was 46.1%. This study illustrates that differences in the ability to reduce concussion risk exist between helmet models in football. Although helmet…
Swearing is a common, almost reflexive, response to pain. Whether you knock your shin into the edge of a coffee table or smash your thumb with a hammer, most of us respond with a streak of obscenities. One question, however, is whether swearing has any effect on the amount of pain that you feel. To address this issue, Stephens, Atkins, and Kingston (2009) conducted an experiment comparing swearing with other responses to pain. In the study, participants were asked to place one hand in icy cold water for as long as they could bear the pain. Half of the participants were told to repeat their favorite swear word over and over for as long as their hands were in the water. The other half repeated a neutral word. The researchers recorded how long each participant was able to tolerate the ice water. After a brief rest, the two groups switched words and repeated the ice water plunge. Thus, all the participants experienced both conditions (swearing and neutral) with half swearing on their first…
A study used ethnographic interview techniques, not usually part of ethnography, and quantitative questionnaires to answer questions about how young children (ages 9 to 15) are socialized into sports. How can researchers report coherently on the findings using these apparently incompatible data collection techniques?
The authors of a paper describe an experiment to evaluate the effect of using a cell phone on reaction time. Subjects were asked to perform a simulated driving task while talking on a cell phone. While performing this task, occasional red and green lights flashed on the computer screen. If a green light flashed, subjects were to continue driving, but if a red light flashed, subjects were to brake as quickly as possible. The reaction time (in msec) was recorded. The following summary statistics are based on a graph that appeared in the paper. n = 47 X = 525 s = 70 (a) Construct a 95% confidence interval for u, the mean time to react to a red light while talking on a cell phone. (Round your answers to three decimal places.) Interpret a 95% confidence interval for µ, the mean time to react to a red light while talking on a cell phone. There is a 95% chance that the true mean time to react to a red light while talking on a cell phone is directly in the middle of these two values. O We are…
A group of disabled women ages 65 and older were followed for several years. It was found that those who had a vitamin B12 deficiency were twice as likely to suffer from severe depressions than those who did not.a. Describe the type of study being performed.b. Describe the explanatory variable(s) and response variable(s).
Dr. Guidry conducts a study examining the relationship between the number of friends one has and the experience of daily stress and life satisfaction. She randomly samples 1,500 elderly men and women in Nashville, Tennessee (the state capital), located in the southern United States. Dr. Guidry submits her study for publication in a scientific journal. If one of the peer reviewers is concerned about the external validity of her study, which of the following is the most important aspect of Dr. Guidry's study to consider? the number of significant findings the random sampling technique used to recruit the participants the number of people in the sample the use of three measured variables
A two-factor study investigates the effects of self-esteem (low vs. high) and gender (males vs. females) on anxiety scores. The following data represents the means for each treatment condition. Low self-esteem High self-esteem Male 5 11 Female 10 3 The data shows that there is a self-esteem by gender interaction. Explain the self-esteem by gender interaction (include individual means in your explanation)

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS