•    Present a predictive model explaining website satisfaction.

•    Describe other candidate models you considered but did not select as your preferred model.

•    Explain your rationale and strategy for selecting your preferred model.

•   Clearly, concisely and professionally communicate your results and analysis for a more technical audience.

•   There is a two-page limit (You do not need to provide general context to the problem).

•   Submit your R-code as an Appendix to this document.

•    Each team member must work with a different segment of the data.

Team Report:

•    Present a predictive model explaining website satisfaction.

•    Explain the synthesis processes of 1) model selection, which should be rooted in the models submitted by individual team members, and 2) how your analysis support the findings, conclusions, and recommendations.

•   Clearly, concisely and professionally communicate the context, findings, and

recommendations for a managerial non-technical audience in a 1-page executive summary.

•   Clearly, concisely and professionally communicate the chosen model, model selection process, and any relevant results and analysis for a more technical audience in a 2-page report.

•   Submit all relevant team-based R-codes as an Appendix to this document.

Guidance on Data Analysis:

•   Critically and collaboratively, reflect on each team member's feedback from assessment 1 and use it to develop your team project where applicable.

•    Use descriptive analytics to identify the key factors impacting a user’s app

satisfaction. Descriptive Analytics refers to statistics and visualisation techniques. For example, a box plot and a bar chart are different techniques.

•    Use predictive analytics to diagnose and/or forecast factors that influence users’ app satisfaction. Predictive Analytics refers to linear regression and regression trees modelling techniques. You should use the modelling techniques discussed in lectures and workshops (i.e., do not use modelling techniques beyond the scope of this course).

•    For each modelling technique (e.g., linear regression, decision tree, etc.) you use, consider trying several models using different independent variables to predict the outcome variable and present the “best” model in your report. To select a model to be the “best” out of your candidate models, you can assess it based on its goodness offit and performance in predicting the outcome variable.

•    Importantly, ensure that your predictors make sense and provide evidence that your conclusions are insensitive to the precise model presented.

•    If your core conclusions change with variations in appropriate models, then try to explore the data more to understand the differences.

•   Only use methods and criteria learned from this course to evaluate performance.

Page Limit

Your report will be evaluated on its quality, and one dimension of the quality is expressing your ideas and analysis concisely. There is a three-page limit. Additional pages will result in a penalty. Specifically, 5% of the marks available for the assessment will be deducted for every 100 words over the three-page word limit.

Late Submission Penalties

1.  Late submission will incur a penalty of 5% per day or part thereof (including weekends) from the due date and time. An assessment will not be accepted after 5 days (120 hours) of the original deadline unless special consideration has been approved. An assignment is considered late if the requested format, such as hard copy or electronic copy, has not been submitted on time or where the ‘wrong’ assignment has been submitted.

2.  No extensions will be granted except for serious  illness, misadventure, or bereavement, which must be supported with documentary evidence. Requests for extensions must be made through special considerations. Note: A request for an extension does not guarantee that you will be granted one.

Studiosity English Support

Studiosity is available on the COMM1190 Moodle Site. Using the service, you can:

•   Submit your drafts to a Studiosity tutor for comprehensive feedback on your writing, typically within 24 hours; or

•   Connect to a Studiosity tutor in a live one-on-one session about writing.

•    Receive comments on various writing areas, including clarity of your ideas, grammar, organisation etc.

•    Use up to 2 hours on Studiosity reviews

UNSW Guide to Group Work

“This page will inform you about the nature of group work, what you should expect, and

the  expectations  teachers  have  of  you   in  group  learning  situations.”  Access   via

https://www.student.unsw.edu.au/groupwork

Groups must plan, schedule, and conduct activities in due time. Once groups are formed, the teams should create and sign up for a teamwork contract that outlines the terms of engagement. Please refer to the resources presented in the link above. Groups must meet regularly (at least once per week) while the assignment is being undertaken and keep a record (diaries, meeting minutes) of such meetings. The groups must ensure that all members are involved in completing the assignment. The work is to be divided equally among the group members. All group-related project management work should be done using a suitable tool such as Trello, Microsoft Teams or Microsoft Planner.

All group members are expected to work diligently. Group members should contribute in a valuable and constructive way to the teamwork. Deadlines should be kept, and work

should be delivered at a professional standard. If problems emerge in your group, then these problems should, in the first instance, openly be discussed in the group (different members might have different views), and resolutions should be agreed on. If internal arrangements repeatedly fail to remedy the situation, then you should bring the issues to the attention of the LIC.

The LIC/ACC may call a group meeting in which each group member will be asked to describe their input into the assignment and provide supporting documentation of this effort using meeting minutes/notes and emails.

Note: non-university platforms such as Meta/Facebook messages, texts, Whatsapp, etc. will not be considered. If group members are found to be making an inadequate effort or delivering poor quality, they will be counselled  to  improve  their  effort. If sufficient improvement is not made  despite  group  efforts  and  LIC  interventions,  the  mark  of underperforming group member(s) may be moderated to reflect the relatively lower input into the assignment.

Unequal Contribution

After submitting the assessment. There will be a 72-hour period where any team member can submit a form to report unequal contributions, which can lead to adjusting of marks. Unequal  contributions  must  be  supported by evidence  documenting team members’ efforts and contributions using meeting notes and emails. Again, non-university platforms such as Facebook messages, texts, and WhatsApp messages will not be considered. If there are reports of inconsistent efforts in the teamwork component, the quality of this individual submission may also be considered as evidence.

The team’s goal is to be collaborative and prevent unequal contribution, So, if any issues emerge, they must be flagged with the teaching team as early as possible to allow for support in achieving collaborative outcomes. If you are concerned about unequal contribution, your group should develop and record a project management plan, specifying key milestones and each team member’s responsibilities.

Groups Rules

You must form a group of 3 or 4 people with peers from your tutorial section. There is hard maximum of 4 people per group. Once you have your group, please inform your tutor.