PSY392 Exploring Behavioural Sciences | Tutor-Marked Assignment.
PSY392 Methods of Data Analysis: Exploring Behavioural Sciences PSY392 Exploring Behavioural Sciences
Tutor-Marked Assignment 02 January 2017 Presentation
PSY392 Tutor-Marked Assignment 02 January 2017 Semester
PSY392
TMA02: t-test, ANOVA, Chi-square, Correlation or Regression
This tutor?marked assignment (TMA) is worth 25% of the final mark for PSY392 Methods of Data Analysis: Exploring Behavioural Sciences.
Please upload this assignment to Turnitin by Wednesday, 19 April 2017, 11:55pm.
Multiple submissions are allowed before this cut-off time.
TMA format [New! Please take note]
- Cover page: Include your full name and student PI number (your TMA may not be graded if your instructor cannot identify you).
- Use Times New Roman 12 point, double line spacing throughout.
TMA submission – read these instructions carefully
- Backup your TMA at all times.
- Submit early and check the originality report for possible revision and resubmission.
- Turnitin reports are generated immediately the first time but subsequent reports may take up to a day to generate.
- Multiple submissions (overwriting earlier submissions) are allowed before the deadline, but no further submissions during the grace period or thereafter.
- Upload TMA in Word document file only (not in PDF), and strictly follow the naming convention specified for TMA files (Non-compliance to these standards might lead to an admin fee and/or the TMA not be being marked).
- Upload correct TMA file to the correct folder of the correct course. Admin fee applies to appeals to transfer files to correct folder.
- 12-hour grace period after the deadline is for resolving technical problems encountered with submissions before the deadline.
- In case of problems: Email Canvas Support LSsupport@unisim.edu.sg immediately (with relevant screenshots and your TMA attached) and follow up with Canvas Support before the grace period is over.
- If there was no submission before the deadline, one late submission is allowed after the deadline for up to 1 week, after which no more late submissions will be allowed.
- Automatic marks deduction applies after the 12-hour grace period (refer to the marks deduction scheme in the Student Handbook).
- Retain the Turnitin digital receipt as evidence of a successful submission.
- View your submission immediately to ensure that the entire document has been uploaded completely and successfully.
Word Limit
Please observe the word limit as writing succinctly is an important skill to acquire in academic writing. All text (including in-text citations) is included in the word count except the reference list, tables, figures, and appendices. Note that anything written beyond 10% of the word limit will not be marked.
Plagiarism and Collusion
The assignment is to be completed on your own. You may discuss the TMA with your course-mates, however, the assignment must be written up independently. Do not share your notes, draft or final TMA with anyone before the marked TMAs are returned to you.
Avoid plagiarism by giving yourself sufficient time to research and understand the material so that you can write up your assignment in your own words. Quotations should be used sparingly. Simply citing the source of ‘copied’ chunks of text does not excuse it from plagiarism. Do ensure that any paraphrasing is done appropriately (even if you use text from your own work that you have submitted as part of another assignment of the same or another course).
The University takes a very serious view of plagiarism (passing off someone else’s ideas as your own, or recycling of contents from your own earlier marked TMA from the same course or another course) and collusion (submitting an assignment which is the same or very similar to another student’s). Both are very serious academic offences. Please refer to the Student Handbook on the penalties of plagiarism or collusion. You are strongly advised to submit your TMA early, check the plagiarism report yourself, and if needed revise and resubmit your TMA before the submission deadline.
English Competency
It is important that you write clearly and accurately, using correct grammar, punctuation and spelling.
Marks allocation at a glance
| Question | Marks | |||||||
| (a) | 5 | |||||||
| Q1 | (b) | 15 | 25 | |||||
| (c) | 5 | |||||||
| (a) | 15 | |||||||
| Q2 | (b) | 7 | 27 | |||||
| (c) | 5 | |||||||
| (a) | 7 | |||||||
| Q3 | (b) | (i) | 2 | 20 | ||||
| (ii) | 6 | |||||||
| (c) | 5 | |||||||
| (a) | 12 | |||||||
| Q4 | (b) | 10 | 28 | |||||
| (c) | (i) | 2 | ||||||
| (ii) | 4 | |||||||
| Total | 100 | |||||||
| SIM UNIVERSITY | Page 3 of 9 | |||||||
TMA02: t-test, ANOVA, Correlation & Regression
For this assignment, you will be using the same dataset that you have worked on in your TMA01 (Data from the survey on the food consumption behavior among Singaporeans) to run the relevant SPSS/PSPP commands, to generate the desired output for analysis and interpretation.
The data set for this survey is saved as a SPSS/PSPP data file “January 17 TMA01-02 Dataset.sav”, with the data specifications presented in the table below.
PSY392 Exploring Behavioural Sciences | Tutor-Marked Assignment.
| Variable | Variable label | Value labels | |||
| Q1 | Eat home-cooked dinner per week | [No value labels needed as the number in the | |||
| dataset indicates the number of days in a week | |||||
| when respondent eats home-cooked dinner] | |||||
| Q2 | Eat dinner at food centre/ | [No value labels needed as the number in the | |||
| restaurant per week | dataset indicates the number of days in a week | ||||
| when respondent eats dinner at food centre/ | |||||
| restaurant] | |||||
| Q3 | Frequency of eating Chinese food | 0 | Never | ||
| 1 | Less than once a year | ||||
| 2 | About once a year | ||||
| 3 | About once a month | ||||
| 4 | About once a week | ||||
| 5 | Every day | ||||
| Q4 | Frequency of eating Malay food | 0 | Never | ||
| 1 | Less than once a year | ||||
| 2 | About once a year | ||||
| 3 | About once a month | ||||
| 4 | About once a week | ||||
| 5 | Every day | ||||
| Q5 | Frequency of eating Indian food | 0 | Never | ||
| 1 | Less than once a year | ||||
| 2 | About once a year | ||||
| 3 | About once a month | ||||
| 4 | About once a week | ||||
| 5 | Every day | ||||
| Q6 | Frequency of eating Western food | 0 | Never | ||
| 1 | Less than once a year | ||||
| 2 | About once a year | ||||
| 3 | About once a month | ||||
| 4 | About once a week | ||||
| 5 | Every day | ||||
| Q7 | Frequency of eating Japanese | 0 | Never | ||
| food | 1 | Less than once a year | |||
| 2 | About once a year | ||||
| 3 | About once a month | ||||
| 4 | About once a week | ||||
| 5 | Every day | ||||
| SIM UNIVERSITY | Page 4 of 9 | ||||
PSY392 Tutor-Marked Assignment 02 January 2017 Semester
| Q8 | Favourite ethnic food | 1 | Chinese food |
| 2 | Malay food | ||
| 3 | Indian food | ||
| 4 | Western food | ||
| 5 | Japanese food | ||
| 6 | Others | ||
| AGE | Age | [No value labels needed as the number in the | |
| dataset indicates the actual age in terms of | |||
| years] | |||
| GENDER | Gender | 1 | Male |
| 2 | Female | ||
| ETHNIC | Ethnicity | 1 | Chinese |
| 2 | Malay | ||
| 3 | Indian | ||
| 4 | Others | ||
| MARITAL | Marital Status | 1 | Single |
| 2 | Married | ||
| 3 | Divorced/ separated | ||
| 4 | Widowed | ||
| INCOME | Gross monthly income | [No value labels needed as the number in the | |
| dataset indicates the actual value of the | |||
| respondent’s gross monthly income] | |||
Recommended/suggested readings:
This TMA covers the course materials in the relevant chapters in the textbook and Study Units 2 and 3. In addition, you should refer to Seminar slides and discussion notes used in class.
ANSWER ALL QUESTIONS:
(Note to student: Please use ? = .05 for all hypothesis testing and present ALL relevant SPSS/PSPP output in your TMA word document.)
Question 1 (25 marks)
Would respondents’ marital status make a difference in their frequency of taking dinners at home?
- Recommend a suitable statistical test to analyse the statistical significance of these differences. Explain your choice of the statistical test.
(5 marks)
- Formulate the null and alternative hypotheses (in statement form). Conduct the statistical test you have indicated in your answer in (a). Analyse the SPSS/PSPP results generated. Report your findings in APA format.
- Interpret the results of the following post-hoc output and report your analysis in APA format.
Multiple Comparisons
Dependent Variable: Eat home cooked dinner per week
LSD
| Mean | ||||||
| (I) Marital Status of | (J) Marital Status of | Difference | ||||
| Respondents | Respondents | (I-J) | Std. Error | Sig. | 95% Confidence Interval | |
| Lower Bound | Upper Bound | |||||
| Single | Married | -1.95(*) | .217 | .000 | -2.37 | -1.52 |
| Divorced/ separated | 1.02(*) | .331 | .002 | .36 | 1.67 | |
| Married | Single | 1.95(*) | .217 | .000 | 1.52 | 2.37 |
| Divorced/ separated | 2.96(*) | .341 | .000 | 2.29 | 3.63 | |
| Divorced/ separated | Single | -1.02(*) | .331 | .002 | -1.67 | -.36 |
| Married | -2.96(*) | .341 | .000 | -3.63 | -2.29 | |
Question 2 (27 marks)
The researcher is interested to find out whether male respondents eat dinners outside home more frequently than female respondents per week.
- Apply a suitable statistical test to determine if the gender differences are significant or not. To do so, you have to formulate the null and alternative hypotheses (in statement form) and analyse the SPSS/PSPP results, including the descriptive statistics that you have generated. Report your analysis in APA format.
(15 marks)
- Apply the formulae given below to calculate the effect size and interpret this value in terms of its magnitude in the above test. Round your answers to 2 decimal places and show your calculations clearly.
| X | 1 – | X | |||||||||||
| 2 | (n1 -1)s12 | + (n2 -1)s | 22 | ||||||||||
| d = | s pooled | , where s pooled | = | ||||||||||
| n1 | + n2 – 2 | ||||||||||||
(7 marks)
- In case your conclusion in the above hypothesis test turns out to be wrong, examine the type of error that you are likely to have committed. Briefly explain the circumstances under which this error may occur.
(5 marks)
Question 3 (20 marks)
- What are the proportions of respondents from the different ethnic groups who eat their respective ethnic food every day? Present your answers with a graphical representation of the results.
[Hint: You should use the SELECT CASES command in SPSS/PSPP program to filter the relevant respondents to generate your results.]
(7 marks)
- The researcher is interested to find out whether there are any significant differences in the choice of favorite ethnic food among male and female respondents among respondents who eat their respective ethnic food every day.
- Formulate the null and alternative hypotheses (in statement form).
(2 marks)
- Conduct the appropriate statistical analysis and include the SPSS/PSPP-generated output in your answer. Interpret the results generated in your SPSS/PSPP output and report your findings in APA format.
(6 marks)
- Examine the reliability of your hypothesis test based on the SPSS/PSPP results generated in (b). Explain your answer.
Question 4 (28 marks)
- The researcher is interested to find out whether there is a relationship between respondents’ income and their frequency of eating dinners outside home. Using SPSS/PSPP, conduct the appropriate statistical test and report your findings in APA format. Remember to include the null and alternative hypotheses (in statement form) in your answer.
(12 marks)
- Using the SPSS/PSPP program, build a linear regression model to analyse the extent to which the frequency of eating dinners outside home can be predicted by the gross monthly income of respondents. Formulate the null and alternative hypotheses (in statement form) and examine and explain the coefficient of determination in the PSPP/SPSS output. Analyse the results of the regression model and report your findings in APA format.
- Apply the results of the regression model to perform the following predictive analysis:
- Formulate the linear regression equation based on the SPSS/PSPP output. (2 marks)
- If Mr Tan’s gross monthly income is $3840 per month, apply the regression equation in (i) to predict the frequency that he would eat dinners outside home, be it at food centres and/or restaurants per week. Show your calculations clearly and round your answer to 2 decimal places.
Generic Band Descriptors for Students
Excellent answer
- shows a clear and thorough understanding of the topic concerned by covering relevant points accurately and comprehensively in a well-structured, focused and cohesive manner
- provides excellent illustrations/examples/supporting evidence
- shows very strong evidence of critical thinking/analysis and in-depth understanding
- goes beyond expectation and shows original thinking
Good to Very Good answer
- shows a good to very good understanding of the topic concerned by covering relevant points accurately in a well-structured, focused and cohesive manner
- provides good illustrations/examples/supporting evidence
- shows good evidence of critical thinking/analysis and in-depth understanding
Fair answer
- shows a fair understanding of the topic concerned by covering relevant points adequately, but may not always be well structured, focused and cohesive
- provides adequate illustrations or examples, however, they may not always be appropriate
- shows little evidence of critical thinking/analysis and lacks in-depth understanding
Weak answer
- shows only rudimentary understanding of the topic concerned and only manages to cover a relevant point or two adequately, but is not well structured, focused and cohesive
- attempts to provide illustrations or examples, however, they are generally inappropriate or irrelevant
- shows no evidence of critical thinking
- may contain inaccuracies and omissions
Poor answer (borderline pass)
- does not show adequate understanding of the topic concerned and may not sufficiently cover any of the relevant points
- does not provide illustrations or examples
- tends to be descriptive and may be off-point
- contains errors and misconceptions
Fail (less than 40%)
- shows very little understanding of the topic concerned and does not cover any of the relevant points
- fails to provide illustrations or examples
- attempts to describe but is off-point
- contains serious errors and misconceptions
Bad Fail (less than 15%)
- shows no understanding of the question
- some marks may be awarded if there is evidence that some effort was made to make sense of the questionS 9
