Page 2 of 2 AT1 SPSS Task 2 Name: Student ID #: Word Count: Unit Submitted for: Unit Chair: Author Declaration I, [INSERT NAME], declare that at I am the sole author of the following work submitted as...

SPSS task. APA 7th referencing format required.


Page 2 of 2 AT1 SPSS Task 2 Name: Student ID #: Word Count: Unit Submitted for: Unit Chair: Author Declaration I, [INSERT NAME], declare that at I am the sole author of the following work submitted as part of the assessment in HPS201/HPS771. Particularly, I have not colluded with other students in the completion of this work; I have not duplicated work of my peers or from sources such as books, journal articles, or websites without adaptation and due citation; and I have not contracted a third-party to complete any component of this assessment on my behalf. I acknowledge that any of these activities would constitute Academic Misconduct as defined by Regulation 4.1(2) of Deakin University and may consequently attract penalties as defined in Schedule A: Penalties for Student Academic Misconduct. AT1 SPSS Task 2 SPSS Task 2 assesses your understanding of regression (week 7), ANOVA (week 8), and post hoc-tests (week 9). Some research questions require you to interpret SPSS output found at the end of this document. Other research questions require you to use your understanding of the unit content in the week 7 - 9 seminars and recorded lectures. Instructions Insert your answers directly into this document. You only need to submit this document. Due date 8 PM AEST Wednesday 23 September 2020 (week 10). Total marks AT1 SPSS Task 2 is marked out of 30. Weighting AT1 SPSS Task 2 is worth 25% of total unit mark. Scenario The Australian Government has hired you to help analyse some mental and physiological health data. Most data were collected in March (Time 1), with other data collected in July (Time 2). The Government has also asked you to evaluate the effectiveness of the Mental Health Program on mental health outcomes. Half the sample were allocated to the active treatment group, and the other half allocated to the control group. SPSS output The SPSS output you’ll need to answer the assignment questions can be found at the end of this document. You don’t need to perform any analyses in SPSS. Refer to the AT1 SPSS Assignment Document Data Dictionary section for explanations of each of the variables and labels used in the analyses. Research Questions Answers for the following questions must be formatted in APA 7th format. Insert answers immediately into the space below the question: 1 The Government would like to know if mean depression differs between employment categories. Using the SPSS output provided, report the results of the inferential statistics in APA format including all relevant statistics (4 marks). 2 The Government would like to know whether anxiety can be used to predict sleep quality. Using the SPSS output provided, report the results of the inferential statistics in APA format including all relevant statistics (3.5 marks). 3 The Government would like to know if mean wellbeing at Time 1 differs between genders. Using the SPSS output provided, report the results of the inferential statistics in APA format including all relevant statistics (3.5 marks). Answers to the following questions DO NOT need to be in APA format. Insert answers immediately into the space below the question: 4 The Government intends to launch a phone App that alerts users if they are at risk of developing severe stress. Should the software engineers use depression or anxiety levels to predict stress levels? The engineers want to use continuous measures for greater sensitivity. Use the most appropriate statistics in the SPSS output provided to justify your response (2 marks). 5 The software engineers need assistance developing an equation that can predict stress levels using anxiety scores (using the original anxiety scale). Based on the SPSS output provided, provide an equation that can be used for this purpose (1 mark). 6 Suppose Nuala scores 16 on the anxiety scale. Using the equation in question 5, what would be their predicted level of stress? (1 mark). 7 Stress is known to be normally distributed (use the first Desciptives Statistics table in the SPSS output provided for means and standard deviations for stress). Should we be concerned with Nuala’s predicted level of stress? Use statistics to justify your response (1 mark). 8 A data analyst has lost their data. Help them complete the ANOVA table below (round values to 2 decimals). (3 marks).   SS df MS F Group 3.00 34.34 Within   Total 1838.84 123.00     9 Based on your calculations for question 8, what is the F-critical value? (1 mark). 10 The data analyst suggests performing post-hoc tests following the ANOVA in question 8 to identify mean group differences. What is your recommendation: Should the data analyst perform post-hoc tests? Justify your response using the most appropriate statistics (1 mark). 11 Does gender or age (those below 50, or 50 and older) have a stronger effect on mean sleep quality? Use the most appropriate statistics in the SPSS output provided to justify your response (2 marks). 12 Base both your answers on visual inspection of the descriptive statistics in the SPSS output provided (do not interpret the inferential statistics). Do unemployed individuals appear to have lower levels of mean anxiety compared to individuals employed part time? Do part-time employed individuals appear to have higher levels of mean anxiety compared to individuals employed full time? For both answers, describe any differences or similarities in anxiety referring to the most appropriate descriptive statistics (2 marks). 13 The Government is concerned that unemployed individuals had lower levels of mean wellbeing at Time 1 compared to individuals employed full-time. Using the SPSS output provided, do you agree with this assessment? Base your response on the most appropriate inferential statistics. Describe any similarities or differences referring to the most appropriate descriptive statistics (2 marks). Question 14, 15 and 16 are based on the SPSS output immediately below. Answers to the following questions DO NOT need to be in APA format. Insert answers immediately into the space below the question: Alex asks for help with an analysis that was sent to them. Alex only knows that participants were compared on mean wellbeing at time 1. Test of Homogeneity of Variances Levene Statistic df1 df2 Sig. wb Based on Mean 2.798 2 90 .066 Based on Median 1.965 2 90 .146 Based on Median and with adjusted df 1.965 2 58.422 .149 Based on trimmed mean 2.710 2 90 .072 ANOVA wb Sum of Squares df Mean Square F Sig. Between Groups 240.086 2 120.043 33.069 .000 Within Groups 326.710 90 3.630 Total 566.796 92 14 Based on the above SPSS output, has the assumption of homogeneity of variance been met? Report the most relevant statistics to justify your response (1 mark). 15 Based on the above SPSS output, how many groups were analysed in the overall ANOVA? (1 mark). 16 Base your response on the answer provided in question 15. If multiple independent sample t-tests were performed to compare all groups (rather than the one-way ANOVA), calculate the type 1 error rate assuming alpha = .05 for each test (1 mark). SPSS Output Descriptives Descriptive Statistics N Minimum Maximum Mean Std. Deviation age 300 20.00 68.00 45.3867 9.59047 anx 300 1.00 20.00 12.1600 4.16159 dep 300 1.00 20.00 12.2400 4.56273 str 300 .00 20.00 11.6500 4.30845 wb1 300 .00 18.00 8.0800 3.82829 wb2 300 2.00 20.00 12.2500 3.95385 eff 300 5.00 20.00 16.6233 2.77014 slq 300 .00 20.00 11.4200 4.48673 Valid N (listwise) 300 Frequencies Statistics gender_cat employ_cat group_cat age_cat anx_cat dep_cat str_cat eff_cat wb1 wb2 N Valid 300 300 300 300 300 300 300 300 300 300 Missing 0 0 0 0 0 0 0 0 0 0 Minimum 1 1.00 1.00 1.00 1.00 1.00 1.00 1.00 .00 2.00 Maximum 2 3.00 2.00 2.00 3.00 3.00 3.00 3.00 18.00 20.00 Frequency Table gender_cat Frequency Percent Valid Percent Cumulative Percent Valid 1 150 50.0 50.0 50.0 2 150 50.0 50.0 100.0 Total 300 100.0 100.0 employ_cat Frequency Percent Valid Percent Cumulative Percent Valid 1.00 100 33.3 33.3 33.3 2.00 100 33.3 33.3 66.7 3.00 100 33.3 33.3 100.0 Total 300 100.0 100.0 group_cat Frequency Percent Valid Percent Cumulative Percent Valid 1.00 150 50.0 50.0 50.0 2.00 150 50.0 50.0 100.0 Total 300 100.0 100.0 age_cat Frequency Percent Valid Percent Cumulative Percent Valid 1.00 198 66.0 66.0 66.0 2.00 102 34.0 34.0 100.0 Total 300 100.0 100.0 anx_cat Frequency Percent Valid Percent Cumulative Percent Valid 1.00 42 14.0 14.0 14.0 2.00 119 39.7 39.7 53.7 3.00 139 46.3 46.3 100.0 Total 300 100.0 100.0 dep_cat Frequency Percent Valid Percent Cumulative Percent Valid 1.00 51 17.0 17.0 17.0 2.00 104 34.7 34.7 51.7 3.00 145 48.3 48.3 100.0 Total 300 100.0 100.0 str_cat Frequency Percent Valid Percent Cumulative Percent Valid 1.00 57 19.0 19.0 19.0 2.00 108 36.0 36.0 55.0 3.00 135 45.0 45.0 100.0 Total 300 100.0 100.0 eff_cat Frequency Percent Valid Percent Cumulative Percent Valid 1.00 3 1.0 1.0 1.0 2.00 26 8.7 8.7 9.7 3.00 271 90.3 90.3 100.0 Total 300 100.0 100.0 ONEWAY dep BY employ_cat /STATISTICS DESCRIPTIVES HOMOGENEITY /MISSING ANALYSIS /POSTHOC=TUKEY ALPHA(0.05). Descriptives dep N Mean Std. Deviation Std. Error 95% Confidence Interval for Mean Minimum Maximum Lower Bound Upper Bound 1.00 100 14.7900 3.88027 .38803 14.0201 15.5599 6.00 20.00 2.00 100 12.6000 4.13412 .41341 11.7797 13.4203 2.00 20.00 3.00 100 9.3300 3.93394 .39339 8.5494 10.1106 1.00 18.00 Total 300 12.2400 4.56273 .26343 11.7216 12.7584 1.00 20.00 Test of Homogeneity of Variances Levene Statistic df1 df2 Sig. dep Based on Mean .038 2 297 .963 Based on Median .032 2 297 .969 Based on Median and with adjusted df .032 2 290.504 .969