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The choice of the appropriate research design and method for data collection is among the most difficult aspects of the IGNOU project. A lot of students begin writing their ignou MCOM IGNOU Project Work project without realizing what research they are actually doing. In the end, the methodology section seems weak, copied or out of sync with the subject.
This article is focused on the process of selecting the most appropriate research design and data collection technique of IGNOU MCom projects. The article explains concepts in a simple way and connects them to practical examples so that students can quickly apply them.
Research design functions as a blueprint for your study. It outlines the direction of your research project. If the research methodology does not meet the criteria, everything that includes data collection, analysis and conclusion is questioned.
IGNOU does not have complex or highly technical research design. They expect alignment. The design should reflect your goals, subject, and availability of data.
A lot of students fail to get marks not just because their content isn't good in the first place, but due to their design is not in line with the goals they've stated in their essay.
Research design is the way to describe the kind of study you are conducting. It provides answers to three key questions.
What is being studying?
and why is it being researched
How it is being investigated
In ignou's MCOM project work research design is usually categorized under one of the following types.
The Descriptive Research Design is the most widely utilized design in IGNOU MCom projects. It is used in cases where the purpose is to describe a situation, condition or even a performance.
This design is suitable for subjects such as.
Customer satisfaction
Satisfaction of clients
Analyzing financial performance
Working capital management
Impact of training on employees
In descriptive research researchers are not able to alter variables. The main focus is observing and describing existing facts.
Example explanation.
The study employs an exploratory research approach to assess the current financial situation of the company using relevant data.
This design is safe as well as accepted. It's also simple to justify in an MCOM project.
Analytical research is utilized when a study goes above description and seeks to understand relationships or performance trends.
This design is suitable if your project includes.
Ratio study
Comparison study
Comparative study among companies
Year wise financial evaluation
Many finance related ignou MCOM project topics use analytical design in conjunction with descriptive design.
Example explanation.
The study is based on an analytical research approach to assess the financial performance of a company by analyzing trends and ratios.
This shows depth but isn't complex.
Exploratory research methods are employed when the topic is fresh or has not been clearly defined. This is less prevalent when it comes to IGNOU MCom projects but may be utilized in other areas such as.
Emerging business practices
Digital payment adoption
New accounting standards awareness
Example explanation.
The study is based on an exploratory approach to investigate the awareness of employees about recent accounting practices.
Make use of this design only when your topic genuinely explores something new.
To choose the correct design To choose the best design, consider these questions.
Are I describing an existing situation
Do I analyze the performance or trends
Are I examining a new concept
If the answer is "description, go with descriptive design.
If it is based on numbers and comparison and analysis, you should add an analytical design.
If it focuses on understanding new ideas take a look at exploratory design.
For most ignou mcom project submissions an analytical and descriptive design are more than adequate.
Once you've decided on a research strategy After deciding on the research design, the next task is to decide how data should be collected. The method of data collection should complement the research strategy.
IGNOU allows both primary and secondary data. The most important thing is honesty and clarity.
Primary data are the data that was collected directly by the researcher for the first time.
Common primary data tools include.
Questionnaire
Interview
Observation
Primary data is useful to use when your project involves beliefs, perceptions, or behavior.
Topics that are suitable for primary data.
Employee satisfaction
Customer service quality
Investor perception
Training effectiveness
Many students make use of questionnaires, but fail to design them correctly. IGNOU does not evaluate the questionnaire thoroughly, but it ought to be relevant and logical.
Guidelines for questionnaire design.
Answers should be straightforward
Avoid using technical terminology
Use closed ended questions
Questions should be linked to goals
Example description for methodology section.
Primary data was obtained using an organized questionnaire comprised of close ended questions designed according to the purpose from the study.
Don't claim advanced survey methods if you do not apply them.
Interview method is less common but it's useful for small sample studies. It works well for case studies and qualitative topics.
Example explanation.
The initial data collection was done through personal interviews with employees to learn their perspectives on the issue.
Use interview method only if that you had actual interaction with respondents.
Secondary data refers to information already taken by another. The use of secondary data is widespread in the work of the ignou MCOM project.
Sources of secondary information include.
The annual report Financial statement Books Research journals Company websites Government publications
Finance and accounting topics mostly depend on secondary data.
Example explanation.
The research is based on secondary data gathered from annual reports as well as textbooks, journals or official internet sites.
Second-hand information is fine provided that it is cited correctly.
Students often think primary data looks better. This is not always true.
Select the primary data source when.
Your topic has to do with opinions or actions
You have access to respondents
Sample size is manageable
Choose secondary data when.
It is a financial or accounting based
It is possible to access data through reports
Time is limited
IGNOU is not penalizing projects based on secondary data. The most important thing is that the analysis is done correctly.
Design of sampling explains how participants or units were picked.
For projects like ignou's mcom the simple sampling method is sufficient.
Convenience sampling is one of the most common method used by students.
Example explanation.
The convenience sampling method was used to select participants based on availability and accessibility.
This is a factual and valid assumption that has been accepted by IGNOU.
Random sampling could be used If respondents were randomly chosen.
Example explanation.
Random sampling method was used to pick respondents from the entire population.
Use this only if the pick is actually random.
Sample size should be considered reasonable and feasible.
Standard sample sizes for IGNOU projects range from 30 to 100 people who take part in surveys.
for financial reports, sample size could be a reference to number of years or the size of companies.
Example explanation.
The sample size is 50 people from the chosen organisation.
Or
The study includes financial information from five consecutive years.
Keep this consistent with your analysis section.
The duration of your study determines the time frame of your study.
For financial topics, mention financial years clearly.
For survey topics, you should mention the time of the collection of data.
Example.
The period of study covers three months over which data were gathered and analyzed.
This shows organization and clarity.
Many ignou mcom project submissions get ruined due to a few mistakes that can be avoided.
Copying the methodology of internet
using advanced terms without having a clear understanding
Uncertainty between objectives and methodologies
Representing primary data with no evidence
Avoid these mistakes to improve your project quality.
IGNOU Evaluations seek.
Accuracy
Clarity
Importance to the subject
Truthful explanation
They do not want perfect research. They are looking for genuine effort.
An easy to understand technique usually scores higher than a duplicated technical method.
Read your objectives thoroughly prior to making your writing strategy. Every objective must be supported through a system.
If the goal is to analyze financial performance, list ratios.
If objective is to measure employee satisfaction, provide a questionnaire.
This alignment makes a powerful impression.
The choice of the best research design and data collection technique cannot be a matter of complexity. It's about the appropriateness. In an ignou MCOM project easy choices, clearly explained is the ideal way to go.
Know your subject. Don't lie about your data. Write in your own language. This alone is a great way to improve both marks and confidence.
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