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The choice of the appropriate research design and method of data collection is among the most difficult aspects for students who have to complete their IGNOU project. A majority of students begin writing their ignou project without fully understanding the kind of research they're actually conducting. This is why the methodology section looks uninspired, copied, or unrelated to the subject.
This article will focus on the steps to select the right research design and data collection technique with respect to IGNOU MCom projects. It will explain concepts in a straightforward language and links them directly through practical examples to ensure that students can quickly apply them.
Research design acts like a blueprint for your study. It defines the direction for your project. If the research methodology is incorrect, everything that comes after data collection, analysis and conclusion will be questioned.
IGNOU does not have complex or high-tech research designs. What they expect is alignment. The design should match your goals, topics, and access to data.
Students often lose marks not because their subject is poor however, their style does not support the objectives the students have set out in their writing.
Research design explains what type of research you're carrying out. It answers three major questions.
What is being study?
the reason it is being looked at
How it is being investigated
In the ignou mcom project work research design is usually categorized under one of the following types.
Descriptive research design is among the most frequently utilized design in IGNOU MCom projects. It is utilized for projects that seek to be able to describe a circumstance, condition or a particular performance.
This design can be used for subjects such as.
Customer satisfaction
Customer perception
Evaluation of financial performance
Working capital management
Training's impact on employees
In descriptive research, the researcher does not manipulate variables. The focus is solely on studying and describing the existing facts.
Example explanation.
The study is based on an outline research method to evaluate the current financial situation of the business using relevant data.
This design is secure easily accepted and easy explain in an project for mcom.
Analytical research design is employed in research that goes beyond description and tries to analyze patterns of performance or relationships.
This design is appropriate when your work involves.
Ratio Analysis
Comparison study
Analysis of comparative study between companies
Financial year-to-year evaluation
A lot of finance-related IGNOU Project MCOM Online mcom project topics employ analytical design along with descriptive design.
Example explanation.
The study implements an analytical research approach to assess the financial performance of the firm using ratio analysis and trend analysis.
This shows depth but isn't complicated.
Research design that is exploratory is often used when the topic is unfamiliar or unclear. It is not as common among IGNOU MCom projects but may be used in areas such as.
Emerging business practices
Digital payment adoption
New accounting standards awareness
Example explanation.
The study employs an exploratory design of research to investigate the awareness of employees about new accounting practices.
Use this design only if the subject you're discussing is unexplored.
To determine the proper design Consider these questions.
Am I describing an existing situation
Are I analyzing performances or trends
Are I researching a new concept
If your answer is description then go for descriptive design.
If it involves numbers and comparison, add analytical design.
If it has to do with understanding new ideas opt for an exploratory style.
For most ignou mcom project submissions Analytic and descriptive designs are more than enough.
After deciding on the research design Next step is selecting the way in which data is collected. Methods for collecting data should match the research design.
IGNOU allows both primary and secondary data. The most important thing is honesty and transparency.
Primary data are data that is collected in the direct presence of the research scientist for the very first time.
Common primary data tools include.
Questionnaire
Interview
Observation
Primarily gathered data can be beneficial when you're working with opinions behaviour, perceptions.
Examples of topics that are appropriate the primary use of data.
Employee satisfaction
Customer service quality
Investor perception
Training effectiveness
Many students are using questionnaires but fail to design them correctly. IGNOU is not evaluating the questionnaire in depth, however it should be relevant and rational.
Guidelines for questionnaire design.
Keep questions short and simple
Beware of excessive technical vocabulary
Use short-ended questions
Make sure that questions are linked to goals
Example description for methodology section.
Primary data was collected using an organized questionnaire made up of questions with a close-ended format that was designed according to the goals for the research.
Do not make claims for advanced survey techniques if, in fact, you did not employ them.
Interview methods are less popular but is useful for smaller sample studies. It's great for case research and qualitative issues.
Example explanation.
Primary data was gathered via personal interviews with employees to learn their perspectives on the topic.
Interview method only when you actually interacted with respondents.
Secondary data is data received by another. It is frequently used in the ignou mcom project.
Sources of secondary information include.
Annual reports Financial statements Books Research journals Company websites Government publications
Finance and accounting topics mainly are dependent on secondary data.
Example explanation.
The study is based upon secondary data collected from company annual reports in textbooks, journals, textbooks as well as official sites.
Secondary information is perfectly acceptable as long as it is properly referenced.
Most students believe that primary data appears superior. This isn't always the case.
Make sure to select primary data when.
Your subject is a source of opinions or behaviour
You are able to speak to respondents
The size of the sample is enough to handle the topic
Select secondary data whenever possible.
The subject you are discussing is financial or accounting based.
Data is available with reports
But time is limited
IGNOU does not penalize projects based on secondary data. What matters is proper analysis.
This design describes how the respondents or units were picked.
For projects like ignou's mcom simply sampling techniques are sufficient.
Convenience sampling is among the most frequently used method for students.
Example explanation.
A convenience sampling approach was implemented to choose respondents based on accessibility and availability.
This is a factual and valid assumption that has been it is accepted by IGNOU.
Random sampling can be described on the basis that respondents were selected randomly.
Example explanation.
Random sampling method was used to pick respondents from the entire population.
Use this only if the pick was really random.
Sample size should be reasonable and easy to manage.
Common sample sizes of IGNOU projects range from 30 to 100 people who take part in surveys.
In financial research, sample size could refers to the number years or companies.
Example explanation.
The sample size consists of 50 people who are part of the organization.
Or
The study covers financial data of five years consecutively.
Maintain this consistency with your analysis section.
The length of study defines the length of your research.
For topics related to finance, be sure to state the financial year in a clear manner.
For survey topics, specify the length of gathering data.
Example.
The period of study covers three months over which data were collected and analysed.
This shows organization and clarity.
Many of the ignou mcom submissions get ruined due to a few mistakes that can be avoided.
Copying methodology from online
Utilizing advanced terminology without having a clear understanding
Discord between goals and methodology
It is possible to claim primary data without evidence
Make sure you avoid these mistakes in order to increase the quality of your project.
IGNOU examiners look for.
Accuracy
Clarity
Relationship to topic
Truthful explanation
They do not expect perfect research. They expect sincere effort.
Simple and well explained approach usually performs better that a technical copy.
Be sure to read your objectives prior to formulating your strategy. Every goal should be backed through a system.
If the objective is to evaluate financial performance, include the ratios.
If objective is to study the level of satisfaction among employees, you should mention questionnaires.
This alignment leaves a strong impression.
Finding the best research design and method for data collection does not require complexity. It's all about the right fit. When it comes to an ignou-mcom project Simple choices that are clearly explained work best.
Get to know your subject. Be honest about your data. Write your thoughts in your own words. That alone can improve both scores and confidence.
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