A psychologist wants to test the hypothesis that people are more likely to use problem-focused coping methoda when they have experienced many stresaful life event. Paricipanta repornbow many stressful events they have experienced in the past 6 months and how many coping strategies they used to cope using a survey. Select the appropriate aalysis to determinie ifthese two variables covary.Related samples l-testTwo-factor ANOVA FtestIndependent samples t-testSimple lincar regressionOne-factor ANOVA F-testOne-sample t-testPearson r correlation coefficientCohen's dNext

Given a psychologist wants to test the hypothesis that people are more likely to use problem-focused…

Answered: A psychologist wants to test the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Why would the following be conducted using a Simple Anova test? You work at an alcohol and substance abuse center and run a youth program. You want to determine which intervention works best to build self-esteem for youth in your program. Currently youth are in one of three intervention modes - (1) group counseling, (2) individual counseling and (3) a group and individual combo. Because of time constraints, you are only able to measure self-esteem at one point in time. You use a standardized multi item self-esteem scale to evaluate their level of self-esteem after 8 weeks of the intervention.
What is the difference between treatment variability and error variability in factorial Designs?
A bank wants to determine whether a customer's current balance can be used to predict future earning potential. What would be the most appropriate procedure to use to analyze data to answer this question? Only choose a test that handles multiple comparisons if such a test is needed. O Chi-square test of association O ANOVA (Analysis of Variance) O Regression Test of Slope or Correlation O Test for a Difference of Proportions O Test for a Difference of Means
Researchers investigate how the presence of cell phones influence the quality of human interaction. Subjects are randomly selected from a population and divided into an experimental group that is asked to leave their phones in the front of the room and a control group that are not asked to leave their cell phones at the front of the room. Subjects are left alone for 10 minutes and then asked to take a survey designed to measure quality of interactions they had with others in the experiment. What statistical test is appropriate?
Which uses a group of people with different exposures and follows them over time? Cohort Cross-sectional Quasi-experimental Case-Control
A significant interaction was found between depression, social support and GPA. These results should be considered with caution and further research should be done to better understand the relationships between these variables. Furthermore, those working with college students should consider the overall well-being of the student, as it is possible that their academic performance may not be affected by anxiety and/or depression. IS THIS A TYPE 1 ERROR OR A TYPE 2 ERROR IN RESEARCH?
A clinical psychologist wants to explore a between-subjects experiment comparing treatments for PTSD emotionally focused therapy (EFT), client centered therapy (CCT), cognitive processing therapy (CPT), and cognitive behavioral therapy (CBT) against a control condition. Subjects were randomly assigned to the experimental condition. After 8 weeks, the subject's scores were measured using Treatment Outcome Post-traumatic Stress Disorder Scale (TOP-8). Identify which statistical analysis is appropriate for this data. Identify the IV and DV and their respective levels if applicable. Is this a repeated measures design?
Think of a research scenario for which either 1-way or 2-way ANOVA would be needed to analyze the results.
A researcher notes that there seems to be a difference in the prevalence of high blood pressure among college-educated individuals who consume low amounts of processed foods and the prevalence of individuals who only have a high school education and consume high amounts of processed foods. Use the appropriate hypothesis to test for the independence of the two independent variables presented here at the 5% significance level to ensure confounding has not influenced the study’s results. Then, interpret your response. Diet Low in Processed Foods Normal BP High BP Total College Education 124 55 179 High School Education 69 152 221 Total 193 207 400 Diet High in Processed Foods Normal BP High BP Total College Education 64 85 149 High School Education 98 153 251 Total 162 238 400 The chi square value of 37.724 is higher than the chi square value of 3.84; therefore, we can accept H0 at…
What is your interpretation if the result of the test has 2 or more sectors with two or more delays? Untestable Normal Abnormal Questionable
Describe a study in which you can use both nonparametric and parametric statistics. A researcher has participants expecting to receive either painful or mild electrical shocks during a study wait in a quarter-full waiting room with other participants. He then measures whether they choose to sit next to other participants or if they sit far away on their own. What is the best test to run for this study and why?
How would I construct a two-way ANOVA model with interaction by hand with the statistical program's output available to me? Would it look like a formula or a chart? The outputs I am looking at are a summary of fit, analysis of variance, effect test, level means differences

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