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MKTG6001

Market Research

Final Individual Assessment Guide & Rubric

REFLECTION + DATA CASE ANALYSIS

IMPORTANT INFORMATION

Worth: 30 %

Due: Wk. 14, Wednesday 31 May 11:59pm (released: Friday 26 May 9am)

Grace period:  will accept submissions till 7th June, Wednesday 11:59pm, with no penalty.

Learning Outcomes: 1, 2, 3, 4

Length: 1000 words (excludes appendix & references, do not exceed word limit)

Point split:100 points with two parts: Data Case Analysis 80 points, Reflection 20 points

Format: Word doc. (no pdf's), 12-point font with 1.5 spacing.

PART A REFLECTION, 20% (approx. 300 words)

This reflection aims to demonstrate how your knowledge about marketing research has progressed during the semester. Write one reflection. Choose one of your weekly reflections from Canvas from week 1 to week 12.

In your weekly Canvas modules, you were asked to reflect (think) about your current understanding    and what you have learned at the end of the module - to capture your understanding directly after   learning the new material. Please review your collection of reflections and choose ONE reflection that was the most illuminating moment that advanced your understanding of marketing research. Describe the weekly reflection that allowed you to see new, exciting, essential marketing research ideas. Copy and paste the most illuminating reflection into an appendix (a screenshot of your weekly reflection)

•   A reflection should NOT just describe what you have learned; the description is only one part of a good reflection.

•   You should reflect on;

o What you thought and felt about what you learned

o What you think and feel for now about what you learned

o How what you have learned has changed how you think

o How what you have learned has changed what you intended to do in the future

Important notes:

•   If you haven’t written any reflections in Canvas, choose your most important/ illuminating learning. You may lose points for not completing reflections in the Canvas module.

•   The word limit is a soft limit; meaning you can go somewhat beyond this limit without grading penalty.  But remember the more you write, the more contribution and insight the grader will expect to see.

PART B: DATA CASE ANALYSIS, 80% (approx. 700 words)

Data is abundant and everywhere. What’s scarce is the ability to get insights from data. The objective of data case analysis is twofold;

•   To provide an opportunity to demonstrate your ability to draw marketing insights using real- world data involving real business challenges.

•   To evaluate your ability to conduct critical marketing research, including the entire marketing research processes such as data preparation, data analysis, and communication and presentation of the key findings.

You are working at a marketing research firm and are approached by the client (see the scenario below) to conduct marketing research. You have designed a survey and collected the data. Next, you need to complete the following tasks:

(1) Descriptive analysis: Generate the main descriptive statistics from the survey data and discuss the key insights from the results.

(2) Hypothesis testing

•   Think about the questions you want to answer to achieve the project objective. What questions can be answered by using the data collected? Write down reasonable hypotheses.

•   Choose a specific test to answer each of the listed questions. You need to use at least one of the following statistical techniques once in the assignment:

o One-sample T-test

o Independent-samples T-test

o Paired-samples T-test

o Correlation Analysis

o Regression Analysis

You can use other necessary techniques learned in/outside this course. For each question, you will need to specify what test(s) was (were) used and what information from the survey, e.g. question(s)/variable(s) was used.


•   Interpret the results and transform the statistical results into words (findings) for each specific test. What further information and recommendations (e.g. managerial actions) can you

provide the client based on your results?

Important notes:

•   We do not expect any advanced statistical tests for this data case analysis. Remember that you should be professional by achieving effective visual and written communication.

•   The word limit is a soft limit; meaning you can go somewhat beyond this limit without grading penalty.  But remember the more you write, the more contribution and insight the grader will expect to see.

•   You will be provided with a different dataset depending on your SID. Please check your SID and the last digit of SID, and download and use an appropriate dataset. Don’t try collaborating with other students; it is an individual assignment involving different datasets.

PART B SCENARIO: 2023 S1, Online dating for students

Jason Batman (the client) graduated from the University of Sydney 2 years ago. Being a bit shy, Jason decided that the best way to meet girls was through an online dating service. His hits and misses during his university days led him to think there must be a better way for university students to hook    up. The big, generic services like Yahoo Personals didn’t meet his needs. Also, speed dating at Gloria  Jean’s and name swapping at the Apple Store were unsuccessful.

Jason decided that if the big online services weren’t suitable for him, they must not be right for thousands of other university students as well. A little secondary research indicated that the number of subscribers to online dating services is expected to double in the next few years. By utilising scientifically derived compatibility tests and demographic preferences, a person can quickly filter through numerous candidates to find the person or persons whom they would most like to contact.        Jason liked the idea of targeting online university students to attract singles looking for a more defined dating pool

Jason decided that to become a member of his new service, the person had to be enrolled in a university. He didn’t necessarily have to be a full-time student, but he did have to be currently enrolled. A single student will be able to search by region, specific university, and/ore by major field of study. A unique feature that Jason is considering will be called “Jason’s Bashes. ” These will be all- inclusive semester breaks and week-long summer vacations to places like Batemans Bay and Lake      Entrance. Jason will provide ground transportation, hotel, five dinners, 3 lunches and nightly mixers     with music. “Jason’s Bashers” will be open only to members of his online service.

Jason wonders about the demand for his “bashes” and what university students would ideally like to  see in an online dating service. For example, might they also be interested in single cycling or weekend hiking trips? While virtually all university students may be surfing the net for love, there is a tiny minority that may be predators or dangerous criminals. Jason is therefore thinking about offering background checks for an additional fee. Another service might b bodyguards or escorts for singles meeting for the first time. Jason felt this service might be desirable for students living in large cities that aren’t completely comfortable with online dating.

Jason decided that what was needed was some good marketing research.