A clinical researcher has developed a new test for measuring impulsiveness and would like to determine the validity of the test. The new test and an established measure of impulsiveness are both administered to a sample of participants. Describe the pattern of results that would establish concurrent validity for the new test.

Viveiros investigated the influence of video game playing on arousal. She had participants rate their arousal on a seven point scale (1 = very low arousal and 7 = very high arousal). Participants rated their arousal at the beginning of the study and then after one hour of video game play. What test is appropriate?

A counseling psychologist hypothesizes that more perceived femininity predicts less perceptions of a traumatic event.  Participants in a study are asked to rate the combat situation of female soldiers that recently returned from combat and suffered from depression.  Participants rated the combat situation with respect to how traumatic they believe it was and assessed how feminine they perceived the female soldier to be.  Higher scores indicate more trauma and femininity, respectively, on the ratings of the situation as traumatic and perceptions of being feminine.  The data are below.  What can the psychologist conclude with an α of 0.05? Trauma Feminine 675689106789 54553464453   a) What is the appropriate statistic?Compute the statistic selected in a): b) Input the appropriate value(s) to make a decision about H0.(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)p-value =   c) Using the SPSS results, compute the corresponding effect…

You are a therapist that has developed a new app to help people treat their anxiety.  You would like to compare the outcomes of people that use the app to those that receive therapy services.  You recruit 50 participants that identify as having problems with anxiety and you randomly assign each person to either use the app for 1 month or come in for therapy for 1 month.  At the end, you give everyone an anxiety measure so that you can compare the difference between the two groups.  Which statistical test would be best to determine if there is a significant difference in anxiety between the two groups following an intervention?

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…

The director of student services at Oxnard College is interested in whether women are less likely to attend orientation than men before they begin their coursework. A random sample of freshmen at Oxnard College were asked what their gender is and whether they attended orientation. The results of the survey are shown below: Data for Gender vs. Orientation Attendance Women Men 431 187 Yes 442 No 214 What can be concluded at the ax = 0.10 level of significance? For this study, we should use Select an answer a. The null and alternative hypotheses would be: Ho: Select an answer Select an answer Select an answer (please enter a decimal and note that p1 and μl represent the proportion and mean for women and p2 and 2 represent the proportion and mean for men.) H₁: Select an answer Select an answer Select an answer (Please enter a decimal) (please show your answer to 3 decimal places.) b. The test statistic c. The p-value = d. The p-value is ? a e. Based on this, we should Select an answer the…

A teacher measured brain activity in all 60 seniors in her Statistics class in the first week of school and again in the week after spring break.  She hypothesized that the second readings would be lower.  A matched pairs experiment was conducted and she found a t score of 2.77.  What is the p-value?  What conclusions should she draw?  Explain.

Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment.        Excessive noise at night environment  (Group 1)   Quiet night environment  (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58       The 95% confidence interval for the difference (Group 1 – Group 2) in weight gain of rats exposed to excessive noise at night and rats in quiet night environment is (0.7g, 4.3g). Interpret this confidence interval in one or two sentences.

Studies indicate that excessive noise at night can affect weight gain. One study of n = 127 rats compared the weight gain of rats exposed to excessive noise at night and the weight gain of rats in a quiet night environment. Sample statistics for the study are given in the table below. Use this information to determine if there is significant evidence that weight gain of rats exposed to excessive noise at night is different on average than weight gain of rats in a quiet night environment.        Excessive noise at night environment  (Group 1)   Quiet night environment  (Group 2) Sample mean (grams) 22.4 19.9 Sample standard deviation (grams) 6.4 3.8 Observations/Sample size 69 58       The p-value for this test is 0.0086. Make a decision and conclusion for the hypothesis test in context. Use a 5% significance level (α = 0.05).

I collected data on levels of anxiety after receiving three types of therapies (CBT, psycho education, and psycho analysis). Below are the anxiety scores for 9 patients. Is there a difference in anxiety based on treatment type ?  CBT: 3, 2, 0 Psycho Education: 8, 8, 9 Psycho Analysis: 10, 12, 12   (Look at the table)