Part 1: Construct a questionnaire. (The questionnaire used 200 words to design and put them in the appendix)
This part should follow from your group presentation where you already reviewed and discussed the relevant literature to outline relevant concepts that are of interest to you.
More specifically this part should include a very brief background to your research, a very brief review of literature to outline relevant concepts. It should lead into an outline of your research questions or/and hypotheses.
Part 2: Data collection
This part is the core methodology hence it should show how you constructed your questionnaire (why those questions – relate to your Part 1), your sampling strategy, data collection procedures and how you imputed loaded the data into SPSS (You must usee SPSS software to collect data and analyse Data.
Part 3: Data analysis
This part is the continuation of Part 2 hence it should include the analysis of your collected data as well as the justification of the chosen statistical tests. It is vital that, in this part, you relate back to Part 1 (i.e. what research questions you wanted to answer).
Part 4: Discussion
This part forms the concluding remarks of your work. Hence, it should report and discuss your findings, possible limitations of your work as well as any research implications and/or relevance for management.
It is strongly recommended that you start designing your questionnaire and collecting data as soon as possible as it will not be possible to write the assignment just before the deadline if you have not done the preparatory data design and collection (i.e. questionnaire) beforehand. The minimum sample of your respondents should not be less than 30. You can have your class mates filling out the questionnaire as part of the learning process. Beyond that, I strongly encourage you to go out and recruit real respondents and let this be a real learning experience. The questionnaire administration procedure would bring out many issues that were not prominent until now. I expect you to finish the data collection process in time so that you have enough time to write your assignment on time.
At this stage, I will recommend you use SPSS for your data analysis. However, if you feel comfortable with other statistical packages, like for example STATA, you can do so. If you need more help and time to practice the use of SPSS please us this link for on-line tutorials: http://www.ats.ucla.edu/stat/. I am sure you will find them very useful.
The maximum word count for your work is 3000 words (excluding submission of your SPSS output file and your questionnaire). Please remember that the SPSS file and your questionnaire will NOT be part of your word count.
Remember, I am not looking for the perfect research, but for you to identify how you undertook the research project with regards to data design, collection and analysis.
If applicable, please make sure to complete an ethics checklist before you undertake your research.
Your assignment will be marked using the following criteria:
ASSIGNMENT: INDIVIDUAL ASSIGNMENT- FEEDBACK FORM
STUDENTS ID: GRADE:
TUTOR: WORD COUNT:
SECTION
CRITERIA TO BE ASSESSED 90-100% 80-89% 70-79%
60-69% 50-59% 40-49% 30-39% 20-29% 10-19% 0-9%
OVERALL STRUCTURE
(15%)
The work is structured coherently in line with the requirements where the required parts are clearly visible. Spelling language and grammar is appropriate. Word count clearly visible.
PART 1
(20%)
This part contains a clear and brief introduction of the concept/topic and literature review, pointing out to a clear outline of the research question and/or hypotheses.
PART 2
(20%)
This part clearly includes the questionnaire used, sampling strategy, data collection procedure used to gather the necessary data and a clear description of how the collected data was entered in the chosen statistical package (e.g. SPSS).
PART 3
(20%)
This part clearly includes the analysis of the questionnaire data, sampling procedures as well as the justification of the chosen statistical tests.
PART 4
(20%)
This part includes clear discussions and findings with possible research limitations of the work and/or management relevance. Ethical consideration should also be included.
REFERENCING
(5%)
The work contains academic references and /or citations.
The Harvard Reference System is used for referencing and bibliography
Tutor’s Comments:
ASSESSMENT GRADE DESCRIPTORS
The assignment has been designed to assess your understanding and critical awareness of the key components of quantitative research. Thus, the key elements that I will assess along are the demonstration of knowledge and understanding via the content, and the ability to write with clarity and coherence, including the ability to reference correctly.
ASSESSMENT GRADE DESCRIPTORS
Grading structure will give you an idea how marks will be allocated based on the above criteria.
The grades indicate the likely characteristics of work that is marked within the percentage bands indicated.
GRADE DESCRIPTION
90-100% A complete questionnaire and dataset used (and where necessary accurate treatment of missing values) with an outstanding explanation of data design, collection, analysis as well as sampling procedures; all statistical tests are accurately carried out, outstandingly interpreted, and there is an outstanding appreciation of potential biases and limitations; an outstanding discussion that draws on state-of-the art literature clearly linked to the aims and objectives; outstandingly reasoned and evidenced conclusions that identify meaningful areas for future research; outstanding quality of presentation, writing and referencing.
80%-89% A complete questionnaire and dataset (and where necessary accurate treatment of missing values) with an excellent explanation of data design, collection, analysis as well as sampling procedures; all statistical tests are accurately carried out and interpreted with an excellent appreciation of potential biases and limitations; an excellent discussion that draws on the literature; excellently reasoned and evidenced conclusions that identify areas for future research; excellent quality of presentation, writing and referencing.
70-79% A complete questionnaire and dataset (and where necessary accurate treatment of missing values) with a very good explanation of data design, collection, analysis as well as sampling procedures; all statistical tests are accurately carried out and interpreted and there is a clear appreciation of potential biases and limitations; a very good discussion that draws on the literature; very-well reasoned and evidenced conclusions that identify areas for future research; very good quality of presentation, writing and referencing.
60-69% A complete questionnaire and dataset (and where necessary accurate treatment of missing values) with a description of data design, collection, analysis as well as sampling procedures; all statistical tests are carried out and generally accurately interpreted with some appreciation of potential biases and limitations; a good discussion that draws on the literature; conclusions are evidenced; a good quality of presentation, writing and referencing.
50-59% A complete questionnaire and dataset but the data design, collection, analysis as well as sampling procedures are not well explained and/or missing; with only some minor errors; variables are accurately coded and measured; all statistical tests have been completed and are interpreted but there are minor errors evident; a reasonable discussion with an attempt to link the results to the extent theoretical and/or empirical literature; an attempt at concluding the key findings is made but the implications are not fully and comprehensively developed, reasonable quality of presentation, writing and referencing.
40-49% The questionnaire and dataset is incomplete and/or variables are missing and/or are incorrectly computed; several of the statistical tests are incomplete or inaccurate; test statistics are miss-interpreted; there is little appreciation of what the results mean and how they relate to the existing literature; the conclusions are tangentially related to the results; few implications are drawn out and the limitations are not understood; the clarity and coherence of arguments are impaired; frequently grammatical and spelling errors are evident; referencing is often inaccurate and/or incomplete; the lay-out is confusing and tables/graph are difficult to read.
30-39% The questionnaire and dataset is incomplete and/or variables are missing and/or are incorrectly computed; the majority of the statistical tests are incomplete or inaccurate; test statistics are completely miss-interpreted; there is weak appreciation of what the results mean and how they relate to the existing literature; the conclusions are mostly disconnected from the results; weak implications are drawn out and the limitations are not understood; the clarity and coherence of arguments are weak; frequent grammatical and spelling errors are evident; referencing is repeatedly inaccurate and/or incomplete; the lay-out and presentation are weak.
20-29% The questionnaire and dataset is incomplete and variables are missing and/or are incorrectly computed; almost all of the statistical tests are incomplete or inaccurate; test statistics are not interpreted or completely misunderstood; there is little appreciation of what the results mean and how they relate to the existing literature; the conclusions are absent or disconnected from the results; the work is very poorly written and presented.
10-19% Little to no attempt to engage with the assignment brief.
0-9% No attempt to address the assignment brief.
ADDITIONAL INFORMATION: ASSIGNMENT 2: QUESTIONNAIRE
The questionnaire version you submit with your work will be the one I will be evaluating. Therefore, make sure you pre-test it on someone before submitting handing it in and starting your assignment.
I am very particular about the instructions listed below. While creativity is generally encouraged during seminars, since most of you have limited (if no) experience in writing an effective questionnaire, this is not a time to demonstrate your creative skills.
Please follow the directions bellow diligently, you will get penalized for not following them. The intention here is to learn the rules first, so you can break them later once you master them. The questionnaire assignment will be organized as follows:
First page: your name, objective(s) and hypothesis.
Second page: title of survey (bold, center), followed by instructions for the respondents, and immediately begin the questionnaire on the same page.
1. Please use Times Roman 12 font size.
2. Make sure there is a short but clear introduction of your work included on top of the questionnaire
3. Write complete and clear instructions for potential respondents. Please, assume nothing on part of the respondents.
4. In rating questions, use the Liker scales Use titles on each column of boxes. .
5. The questionnaire should follow the questions in a chronological sequence. For example, the questions about use of the product should follow the questions about purchase of that product.
6. Try to bundle similar questions together (e.g., all the questions about the décor of a particular fast food restaurant should appear together).
7. When asking close ended questions that have options of “Yes” and “No”, make sure the first letter is capital, just as I wrote it here.
8. If a question is a branching one, make sure appropriate instructions for skipping the subsequent question(s) is present. For example,
Question 8.1. Have you heard of hybrid cars? (Please tick the appropriate):
Yes No (Please skip to question # 6)
If “Yes”, Do you think hybrids cars will become main stream in next 5 years? (Please tick the appropriate):
Yes No
Question 6. XXXXX XXXXXXXXXX XXXXXXX