代写LUBS2910 Management Research and Analysis Semester 1, 2024/2025帮做R语言
- 首页 >> Algorithm 算法LUBS2910 Management Research and Analysis
Assessed Coursework
(Semester 1, 2024/2025)
50% Assignment
|
MANAGEMENT RESEARCH AND ANALYSIS (LUBS2910) COURSEWORK ASSIGNMENT: SEMESTER 1 (2024-2025) There are two tasks in this assignment: Task 1 and Task 2. You must complete both tasks. Each task is worth equal marks. The overall word limit for both tasks together is 2000 words. You should spend around 1200 words on Task 1 and 800 words on Task 2. For Task 1, you should describe and evaluate the good practice of questionnaire design and a plan for a quantitative data analysis. For Task 2, you should conduct some statistical analyses on the SPSS dataset provided and report the results of your analyses. The full details of each task are provided below. TASK 1 Imagine that you have been commissioned to undertake a research project by Leeds City Council. The Chief Executive Officer (CEO) of LCC is concerned that the employees are dissatisfied. There have been many anonymous complaints on social media, and the level of staff absenteeism and turnover is on the rise. The CEO would like to find out about the level of job satisfaction and about the factors that might influence the satisfaction of the employees. You have two tasks to complete for the CEO. First, design a questionnaire and develop a plan describing how you would like to distribute the questionnaire. Second, develop a plan describing how you would analyse the data collected and what steps you would undertake in the analysis process. Further guidance on these tasks is provide below. 1. Describe and critically evaluate how you would design the questionnaire (around 900 words). 1.1. What key points would you cover in the introduction? 1.2. What demographic and study variables would you include? 1.3. What hypotheses would you develop using these variables? 1.4. What are the key considerations when selecting measures for the variables? 1.5. How would you structure the questionnaire? 1.6. How would you measure your variables? Include references (if applicable), example items and rating scales. |
|
1.7. How would you distribute the questionnaire? Please include the questionnaire in the appendix in a word format (does not count in the overall word count). 2. Describe the steps you would take to perform. the data analysis and test your hypotheses, including the statistical techniques you would use (around 300 words) TASK 2 British universities are some of the finest in the world. Their excellent reputations are underpinned by their historical traditions, their successful teaching and research, and their international social media presence. The British university sector therefore represents a relevant and interesting topic for business research and has therefore been selected for your coursework assignment. Indicative of the excellent reputations of British universities is their high standing in international university league tables. In the latest league table, produced byQuacquarelli Symonds (QS) for 2025there are 15 British universities ranked among the world’stop 100 universities. The quantitative data for this coursework assignment concerns the overall performance of these 15 British universities, their student and faculty numbers, sustainability, research power (citation/faculty), and social media presence. Number of Facebook followers was recorded on the 8th of October. The quantitative SPSS dataset accompanying this assignment that is drawn from these sources is called: University_data_2025.sav. Please do not change this dataset. Use it in its original format. You should use SPSS software to conduct the following statistical analyses on the dataset and then report your analyses in the form of the Results section of a journal paper from the field of Business and Management. Conduct the following statistical analyses on the quantitative data in the SPSS dataset: 1. Calculate the mean and standard deviation for each continuous data variable. 2. Calculate the correlations between each continuous data variable. 3. Report the means, standard deviations, and correlations in a correlation matrix. 4. Note, in particular, the correlations between overall performance in 2025 and each of the following three variables: employment outcomes in 2024, citations/faculty in 2024, and number of Facebook followers in 2024. 5. Draw a line graph of the mean overall performance for the British Universities over the three years 2023, 2024, and 2025. 6. Conduct and report a one-way Analysis of Variance (ANOVA) to examine any changes in overall performance over the three years 2023, 2024, and 2025. 7. Draw a bar graph showing the mean number of total students in 2024 and total staff in 2024. 8. Conduct and report at-test between the number of total students in 2024 and total staff in 2024. 9. Conduct and report a regression analysis with overall performance rating in 2025 as the dependent variable and the following as independent variables: citations/faculty in 2024, employment outcomes in 2024, and number of Facebook followers in 2024. |
Assignments should be a maximum of 2000 words in length.
All coursework assignments that contribute to the assessment of a module are subject to a word limit, as specified on the assessment brief. The word limit is an extremely important aspect of good academic practice, and must be adhered to. Unless stated otherwise in the relevant module handbook (if one has been provided), the word count includes EVERYTHING (i.e. all text in the main body of the assignment including summaries, subtitles, contents pages, tables, supportive material whether in footnotes or in-text references) except the main title, reference list and/or bibliography and any appendices. It is not acceptable to present matters of substance, which should be included in the main body of the text, in the appendices (“appendix abuse”). It is not acceptable to attempt to hide words in graphs and diagrams; only text which is strictly necessary should be included in graphs and diagrams.
You are required to adhere to the word limit specified and state an accurate word count on the cover page of your assignment brief. Your declared word count must be accurate, and should not mislead. Making a fraudulent statement concerning the work submitted for assessment could be considered academic malpractice and investigated as such. If the amount of work submitted is higher than that specified by the word limit or that declared on your word count, this may be reflected in the mark awarded and noted through individual feedback given to you.
The deadline date for this assignment is 12:00:00 noon on Tuesday 7th of January 2025.
An electronic copy of the assignment must be submitted to the Assignment Submission area within the module resource on the Blackboard MINERVA website no later than 12:00:00 noon prompt on the deadline date.
Faxed, emailed or hard copies of the assignment will not be accepted.
Failure to meet this initial deadline will result in a reduction of marks, details of which can be found at the following place:
https://students.business.leeds.ac.uk/assessment/code-of-practice-on-assessment/
SUBMISSION
Please ensure that you leave sufficient time to complete the online submission process, as upload
times can vary. Accessing the submission link before the deadline does NOT constitute completion of submission. You MUST click the ‘CONFIRM’ button before 12:00:00 noon for your assignment to be classed as submitted on time, if not you will need to submit to the Late Area and your assignment will be marked as late. It is your responsibility to ensure you upload the correct file to the MINERVA, and that it has uploaded successfully.
It is important that any file submitted follows the conventions stated below:
FILE NAME
The name of the file that you upload must be your student ID only.
ASSIGNMENT TITLE
During the submission process the system will ask you to enter the title of your submission. This should also be your student ID only.
FRONT COVER
The first page of your assignment should always be the Assessed Coursework Coversheet (individual), which is available to download from the following location:
https://students.business.leeds.ac.uk/forms-guidance-and-coversheets/
STUDENT NAME
You should NOT include your name anywhere on your assignment