PSY515 Exercise 1 13-Feb-2019
Please watch the video No.1: https://www.youtube.com/watch?v=sDUmEso2xJE. Please use the knowledge delivered in the lecture 2 to answer following questions.
1.Was the support rate of Ko Wen-je 34.1% reliable? If not, what information was lost for you to draw a conclusion (Suppose the sample size was 1,067 randomly selected from all Taipei residents and CL=95%)?
2. If we wanted the support rate of Ko Wen-je (34.1%) fell into the range “34.1% plus/minus 2% (CL=95%)”, how large the random sample should be?
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Please watch the video No.2 that was published 4 days later: https://www.youtube.com/watch?v=iCq7zdnE1NM. Please use the knowledge delivered in the lecture 2 to answer the following question.
3. Based on the support rate published by ETtoday, did the support rate of Ko Wen-je significantly change? Suppose the sample sizes were both 1,067 in two waves of data collection. CL=95%.
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Submission deadline: 11:59 PM,19-Feb-2019
PSY515 Exercise 2 20-Feb-2019
1. What can you learn from the frequency distribution table below?
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2. A survey indicates that for each trip to the supermarket, a shopper spends an average of 45 minutes with a standard deviation of 12 minutes in the store. The length of time spent in the store is normally distributed and is represented by the variable x. A shopper enters the store. Find the probability that the shopper will be in the store for between 24 and 54 minutes.
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Submission deadline: 11:59 PM, 26-Feb-2019
PSY515 Exercise 3 27-Feb-2019
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1. An online hotel reservation platform claims the mean time to book a hotel room on their website is 60 seconds with a standard deviation of 30 seconds. A random sample of 36 customers attempted to book a hotel room on the website. The mean time to book was 75 seconds. Is this enough evidence to contradict the company's claim?
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2. Please watch the video below, which introduces an automated bakery production line.
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Link to video:
https://www.youtube.com/watch?v=2Qm_iHgFsPw
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Suppose you are the factory manager in charge of quality assurance and you are suggested to use one-sample t-test to check if your production line could produce bread with the required weight. Please design a method. Your method should be feasible, viable, and workable in the real factory practice. Please be as specific as possible (20-100 words).
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Please submit you answers to online system by clicking the following link:
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Submission deadline: 11:59 PM, 5-March-2019
PSY515 Exercise 4 6-March-2019
1. The Hong Kong University of Science and Technology purposed to introduce a new training program, aiming to promoting communication skill of undergraduate students. University have two options to evaluate the program effectiveness before making a final decision.
A. Select a representative sample of students and test their communication skill before and after joining the program; adopt paired-sample t-test to compare the means.
B. Randomly assign a group of students to experimental group (joining the program) and another group of students to control group (not participating into the program); adopt independent sample t-test to compare the means.
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Please recommend option A or option B to university with justification.
2. Special Duty Unit (SDU) of Hong Kong purposed to introduce a comprehensive training scheme to recruits, aiming to improve their physical performance. SDU have two options to evaluate the effectiveness of new scheme before making a final decision.
A. Select a representative sample of recruits and test their physical performance before and after training; adopt paired-sample t-test to compare the means.
B. Randomly assign a group of recruits to experimental group (receiving training) and another group of recruits to control group (not receiving training); adopt independent sample t-test to compare the means.
Please recommend option A or option B to SDU with justification.
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Please submit you answers to online system by clicking the following link:
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Submission deadline: 11:59 PM, 12-March-2019
PSY515 Exercise 5 13-March-2019
1. Download the data file "Data ANOVA 2" from Moodle system. It contains the math scores of students in three Hong Kong higher institutions. Do the data support significant difference in mean scores of three universities? Please analyze the data and report results in APA style.
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2. Dr. Anderson adopted a standardized test to evaluate Internet Addiction among emerging adults in Australia, Japan and the USA and published an academic article in Psychological Assessment. Now, you adopt the same test to evaluate the Internet addiction of Hong Kong emerging adults. You want to compare the results in Hong Kong with those of Australia, Japan, and USA by one-way ANOVA. However, data are the private property of the research team of Dr. Anderson and it is unlikely for you to get full data for international comparison. What should you do?
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Please submit you answers to online system by clicking the following link:
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Submission deadline: 11:59 PM, 19-March-2019
PSY515 Exercise 6 and 7 27-March-2019
Please read the story of HRO in the Google LLC. When you enjoyed the full story, 7 questions need to be answered.
Google LLC is an American multinational technology company that specializes in Internet-related services and products, which include online advertising technologies, search engine, cloud computing, software, and hardware. The Human Resource Management Office (HRO) of Google realized the potential harm associated with job-related stress and took efforts to help employees burn off to tackle stress in their unique ways.
The director of HRO, Jason, planned to introduce a new stress management training programme that gives employees a thorough understanding of how the stress response activates under pressure and what they can do to manage it. The programme aims to train employees to control situational stress as it occurs, develop responses to frequent stress scenarios, cut off the escalating spiral of stress, and implement recovery and preventive solutions.
At the very beginning, Jason needed to persuade the senior management that the harm of job related stress could not be ignored, because it was likely to negatively impact the creativity of employees. Jason randomly collected data from a sample of 300 employees and measured their job-related stress, health status, educational achievement, occupational classes and creativity at the beginning of January. Jason measured their creativity again at the end of March. Jason aimed to check whether job-related stress was associated with creativity when controlled for job-related stress at the baseline, health status, educational level and occupational classes. A series of correlational analysis and multiple regression analysis were performed and the results were reported as follows (Tables 1 and 2).
Source: Robinson, J. (2018). Stress Management: Is stress draining productivity, morale, retention? A health or safety risk? https://www.worktolive.info/stress-management
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Table 1
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Note: N=300. T1= Time 1, T2=Time 2. * p < 0.05, ** p< 0.01
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Table 2
DV: Creativity of T2.
Note. N=300. T1= Time 1, T2=Time 2. * p < 0.05, ** p < 0.01. R2 = 0.66.
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Question 1. Please read Table 1 and report the correlation between educational level and occupational class. What effect does this result has on multiple regression results?
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Question 2. Please report the key findings in the Table 2 in one or two sentences, which is closely related with the core research objective of Jason.
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Question 3. Suppose we have measured creativity (6), health status (4), educational level (5), occupational classes (3) and job stress (2) of a new colleague, please use the equation developed based on the information in the Table 2 to predict her creativity three month later.
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After reviewing the report submitted by Jason, the senior management realized that there is a negative impact of job-related stress on the creativity of employees. They had a discussion and determined to adopt the new stress management training programme suggested by Jason. At the first stage, the programme was implemented in a sample of 200 employees, who were randomly selected from all 85,050 Google employees. The 200 participants were well distributed in terms of divisions and occupational classes. All of them agreed to join the new programme, and their job-related stress were measured before and after the stress management training programme (Table 3).
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Table 3
Question 4. To evaluate the effect of the stress management training, Jason input the data in Table 3 into SPSS 25 and performed the hypothesis testing. What test should he use?
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Jason got the results in the output file of SPSS.
Mean (Difference) = 2.5, df = 199, t = 3.35, p < 0.01 (two-tailed)
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Question 5. Please draw a simple conclusion based on the results. The conclusion will be submitted to the senior management to determine whether to implement the programme in all Google employees.
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The senior management received the evaluation report submitted by Jason and decided to allocate a large amount of money to implement the stress management training programme in all 85,050 Google employees. Following some administrative procedures, Jason needed to collect the public opinion about the new programme. He performed a survey in a sample of 1,067 employees who were randomly selected and found 72.5% of them supported the implementation of this new programme. Jason and other colleagues in the HRO organized a series of open forum to introduce the positive effect of the new programme on stress management and responded to the concerns of employees. After one month, Jason performed the same survey in another group of randomly selected employees with the same sample size. He found now 79.5% of them supported the new programme.
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Question 6. Please comment on the two survey results, setting the confidence interval at 95%.
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With ALL statistical results depicted above, Jason and his colleagues now were ready to implement the new stress management training programme among all Google employees. However, they met another problem about 100 new staffs who needed to be recruited to perform the duties in the new programme. After posting the position on the HRO website, they received over 1000 applications. Jason wanted to use Raven's Standard Progressive Matrices (RSPM) to shorten the list of candidates and only interviewed those with the RSMP scores over 70. All candidates were notified about the cut-off score. Jack was one of 1000 candidates. He had tried the simulated RSPM test online for 7 times and his scores were 55, 65, 68, 61, 74, 69 and 64 respectively.
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Question 7. Please calculate the probability of Jack to be invited for the interview.
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Submission deadline: 11:59 PM, 2-April-2019
PSY515 Exercise 8 17-April-2019
Question 1. With CFA, is it proper for a researcher to revise her/his model on the basis of how well the initial model fits the data? Why?
Question 2. If a chi-square test compares an original model with a revised model that has fewer latent variables, will a smaller or larger value of chi square indicate that the less-complicated model is better? Why?
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Please submit you answers to online system by clicking the following link:
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Submission deadline: 11:59 PM, 23-April-2019