SPSS Homework questions - various questions

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I need these answered in a word document. I am terrible at figuring our SPSS, I've worked on these for hours and I just do not understand. Please help me with these 6 questions.

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ID Gender Race Sleep Stress#1 Stress#2 1 2 1 6 3 5 2 1 3 7 4 5 3 2 2 2 5 2 4 1 2 6 2 3 5 1 1 5 3 3 6 2 1 9 3 5 7 1 3 6 2 4 8 1 1 7 2 4 9 2 2 4 4 2 10 2 1 7 3 3 11 2 1 6 3 3 12 1 2 8 1 4 13 2 2 6 2 3 14 2 3 6 3 4 15 2 1 7 2 3 16 1 3 3 5 2 17 2 3 10 3 3 18 1 2 5 5 3 19 2 3 8 2 4 20 1 2 3 4 1
Sheet1 ID Gender Race Ethnicity Age Happy 1 1 1 1 66 89 2 2 1 1 18 73 3 1 1 2 31 41 4 2 3 2 44 78 5 1 1 1 56 77 6 1 2 2 27 47 7 1 2 1 25 32 8 2 1 1 33 66 9 1 1 1 24 51 10 2 2 1 72 91 11 2 2 2 29 22 12 1 3 2 21 66 13 2 3 1 33 18 14 2 1 1 25 80 15 2 2 1 19 55 16 2 3 2 21 75 17 2 1 2 22 42 18 2 3 1 51 69 19 1 1 2 28 55 20 1 2 1 44 80 21 2 2 1 48 66 22 1 1 1 37 47 Elise made the dataset by examining the happiness of people in her community. Along with happiness level, basic demographic factors such as gender, race, ethnicity, and age were also measured. Before testing the research hypothesis, which is not presented here, she would like to analyze the descriptive statistics about demographics and level of happiness to identify the characteristics of her sample. Follow these instructions: Draw a frequency table for all variables Include the mean, the standard deviation, the minimum value, and the maximum value Draw the histogram and the normal distribution curves. What are the mean and the standard deviation of the Happiness variable? What are the youngest age and the oldest age among the participants? Write down your judgment on the distribution of happiness variables. Does the distribution of participants’ happiness have normality? If not, what is the distribution like? Please write down the reason for your judgment together.
Sheet1 ID Gender Sleep Sleep Sat Stress #1 Stress #2 Stress #3 Stress #4 1 2 6 1 3 1 2 3 2 1 7 1 4 1 1 2 3 2 2 1 5 4 4 5 4 1 6 1 2 3 4 3 5 1 5 1 3 3 3 2 6 2 9 2 3 1 2 2 7 1 6 2 2 2 3 3 8 1 7 1 2 2 3 1 9 2 4 2 4 4 5 3 10 2 7 2 3 3 3 5 11 2 6 2 3 3 4 3 12 1 8 1 1 2 2 2 13 2 6 1 2 3 1 3 14 2 6 2 3 2 3 4 15 2 7 1 2 3 2 1 16 1 3 2 5 4 4 3 17 2 10 1 3 3 1 2 18 1 5 2 5 3 3 4 19 2 8 2 2 2 4 2 20 1 3 1 4 5 5 3 Alex wanted to figure out the relationship between sleep and stress. He hypothesized that the amount of sleep hours will be associated with lower stress. Furthermore, he also measured participants’ gender and the sleep satisfaction. What you need to do here is to perform the instruction below. Data descriptions ID: Unique identifier Gender: 1 = Male, 2 = Female Sleep: The amount of time of sleep hours SleepSat: A dichotomous item asking if the participant was satisfied with overall sleep. Stress: Four items (#1 - #4) with five-point Likert scale. Instruction Present the internal reliability (Cronbach's α) of stress measures. Create “Stress” variable by aggregating four items that measuring stress. (As in the SPSS Activity ch.1, you can aggregate these four items by using "Compute" function. For example, Stress=(Stress#1+Stress#2+Stress#3+Stress#4)/4 or Stress=Stress#1+Stress#2+Stress#3+Stress#4. You can choose either summation or average as a way of combining) Verify the correlation between the amount of sleep hours and Stress variable. Verify the correlation between gender and the sleep satisfaction.
Sheet1 Robert wanted to see the relationship between telework and work-life balance. So, he measured work-life balance of 20 participants (10 teleworkers and 10 regular workers). Moreover, since there are several other measurements for work-life balance, he selected one more scale to measure work-life balance for the same participants. After examining the effect of telework on work-life balance, Robert wanted to conduct further analysis to see whether the participants' jobs, such as self-employed, full-time, or part-time, have an impact on both work-life balances. What you need to do here is to perform the instruction below. ID Telework Job WLB#1 WLB#2 Data descriptions 1 1 2 2 3 2 2 1 1 1 ID: Unique identifier 3 2 3 4 3 Telework: (1 = No, 2 = Yes) 4 2 2 2 3 Job: The type of job (1 = Self-Employed, 2 = Full-Time, 3 = Part-Time) 5 1 1 1 1 WLB#1: The level of work-life balance measured by the first scale. 6 1 2 3 2 WLB#2: The level of work-life balance measured by the second scale. 7 2 2 2 2 8 1 1 1 2 9 2 1 1 3 In each case, what analysis is most appropriate? Choose the method of analysis and carry it out. 10 1 2 2 2 11 2 2 3 3 Test the difference of work-life balance (#1) between the telework group and the control group. 12 2 1 1 1 Test the difference between work-life balances measured by different scales (#1 vs. #2). 13 2 2 2 4 Test the difference of work-life balances among different jobs (#2). 14 1 2 2 3 Note. You need to make a statement whether the difference between the groups you compared is statistically significant. SPSS guidebook describes how to write the statement under APA style, so I encourage you to follow this guideline. 15 1 1 1 3 16 1 1 1 2 17 1 1 1 2 18 1 2 3 5 19 2 3 4 4 20 1 3 5 5
Sheet1 Emma had collected data to analyze the differences in the work-life balance depending on telework and job. Since she had assumed that telework intensity would have a more crucial impact than whether or not one participated in telework, she had configured the survey item on telework into “none”, “one to three times a week”, and “more than three times a week”, instead of “yes” or “no”. A week after collecting the data, the outbreak of worldwide epidemics led to major changes in the workplace, so she collected the data from the same participants using the same survey again. Specifically, two additional surveys were conducted every three weeks. What you need to do here is to perform the instruction below. Data descriptions ID Telework Job WLB_T1 WLB_T2 WLB_T3 1 3 1 5 4 3 ID: Unique identifier 2 3 1 4 5 3 Telework: (1= None, 2 = One to three times a week, 3 = More than three times a week) 3 3 1 4 5 5 Job: The type of job (1 = Self-Employed, 2 = Full-Time, 3 = Part-Time) 4 3 1 3 1 1 WLB_T1: Work-life balance which measured from the baseline. 5 3 1 1 2 1 WLB_T2: Work-life balance which measured three weeks later from the baseline. 6 3 1 2 4 5 WLB_T3: Work-life balance which measured six weeks later from the baseline. 7 2 1 3 3 2 8 3 2 3 3 2 9 1 2 4 2 3 By using the most suitable analysis method, carry out the given instructions. 10 2 2 3 2 1 11 1 2 2 1 2 Test whether telework and job had impacted on the baseline score of work-life balance. 12 1 2 3 3 2 Verify whether the level of work-life balance varied over time. 13 2 2 4 1 3 14 1 2 5 5 1 15 3 3 4 5 1 16 2 3 3 4 2 17 2 3 4 3 2 18 3 3 2 4 1 19 2 3 3 4 2 20 2 3 3 3 1
Sheet1 Harry finally started testing his research hypothesis that the amount of sleep hours has association with the low level of stress. Furthermore, he expected that individual’s negative feelings at the morning will have the mediation effect between this relationship. What you need to do here is 1) to verify the mediation effect that Harry expected and 2) to find out whether the relationship between sleep hours and the level of stress is differed by gender and race. Data descriptions ID Gender Race Sleep NegativeF Stress 1 2 1 6 3 2 ID: Unique identifier 5 1 1 5 3 3 Gender: (1 = Male, 2 = Female) 6 2 1 9 3 2 Race: (1 = White/Caucasian, 2 = Black/African American, 3 = Asian/Others) 8 1 1 7 2 2 Sleep: The amount of sleep hours 10 2 1 7 3 3 NegativeF: Negative Feelings (1 = Very Low, 2 = Moderately Low, 3 = Neutral, 4 = Moderately High, 5 = Very High) 11 2 1 6 3 3 Stress: The level of stress (1 = Very Low, 2 = Moderately Low, 3 = Neutral, 4 = Moderately High, 5 = Very High) 15 2 1 7 2 3 3 2 2 2 5 5 4 1 2 6 2 3 9 2 2 4 4 4 12 1 2 8 1 2 13 2 2 6 2 3 18 1 2 5 5 4 20 1 2 3 4 5 2 1 3 7 4 3 7 1 3 6 2 2 14 2 3 6 3 3 16 1 3 3 5 5 17 2 3 10 3 3 19 2 3 8 2 2

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