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Selecting the best research design and method for data collection is one of many of the most naive tasks for students working on an IGNOU project. Many students begin writing their IGNOU mcom projects without really knowing what research they're actually undertaking. This is why the methodology section is uninspired, copied, or a bit disconnected from the topic.
This article concentrates on the process of selecting the best research design and data collection technique appropriate for IGNOU MCom projects. It will explain concepts in a straightforward language and connects them through practical examples to ensure that students can apply them easily.
Research design functions as an outline for your study. It defines the direction for your project. If the research design does not meet the criteria, everything that goes along with data collection, research and conclusion may be in question.
IGNOU doesn't expect complicated or technical research designs. What they do expect is alignment. The design should match your objectives, topic, and information availability.
Many students score low marks, not simply because their topic is not good or their writing style is bad, but because the design does not reflect the objective they've established in their paper.
Research design can explain what type of research you're carrying out. It provides answers to three key questions.
What is being looked at?
why it is being investigated
What is being researched
In the work of the ignou mcom project research design is usually categorized in one or more of these categories.
It is the most commonly utilized design used in IGNOU MCom projects. It is utilized for projects that aim to identify a condition, situation, or performance.
This design is ideal to be used in areas such as.
Employee satisfaction
Customers' perception
Evaluation of financial performance
Working capital management
The impact of training on employees
In descriptive research researchers are unable to manipulate variables. It is all about noting and describing existing facts.
Example explanation.
The study follows the pattern of a descriptive research study that analyzes the current financial position of the selected company based upon relevant data.
This design is safe that is accepted, dependable, and simple to prove in an project for mcom.
Analytical research is utilized in research that goes beyond description and attempts to analyse the relationships between performance trends or patterns.
This design is appropriate if your project includes.
Analysis of ratios
Comparison study
Study of comparison between companies
Year-to-year financial evaluation
Many finance related ignou MCOM projects use analytical design together with descriptive designs.
Example explanation.
The study is based on an analytical design of research to evaluate the financial performance of the business through ratio and trend analysis.
This indicates depth without sounding complex.
Research design that is exploratory is often used when the topic is fresh or has not been clearly defined. It is less common among IGNOU MCOM project topics; https://worldaid.eu.org, MCom projects but may be employed in fields such as.
Emerging business practices
Digital payment adoption
New accounting standards awareness
Example explanation.
The study employs an exploratory research plan to investigate the awareness of employees about new accounting practices.
This design should only be used when your subject really explores something unfamiliar.
To choose the correct design Ask yourself these questions.
Am I writing about an existing situation
Am I analyzing the performance or trends
Are I researching some new concepts
If the answer is "description and not a description, then you should go with a descriptive design.
If it is based on numbers and comparison and analysis, you should add an analytical design.
If it is about understanding new ideas opt for an exploratory style.
For the majority of ignou MCOM project submissions an analytical and descriptive design will suffice.
After selecting the research method then the next stage is deciding on the manner in which data will be collected. The method for collecting data must be compatible with your research concept.
IGNOU allows both primary and secondary data. What is important is honesty and transparency.
Primary data is data collected through direct contact with the researcher, for the first.
The most commonly used data tools are.
Questionnaire
Interview
Observation
Primary data can be useful when you're working with opinions as well as perceptions and behavior.
Examples of subjects suitable the primary use of data.
Employee satisfaction
Customer service quality
Investor perception
Training effectiveness
Most students fill out questionnaires but they don't design them in a proper manner. IGNOU does not examine the questionnaire deeply, but it needs to appear legitimate and logical.
Guidelines for questionnaire design.
Keep questions simple
Do not use tech-speak.
Make sure you answer close-ended questions
Answers to questions should correspond with goals
Example description for methodology section.
Primary data was collected using a well-structured questionnaire comprising closely-ended, standardized questions designed in accordance to the purposes for the research.
Do not assert advanced survey methods if the method you used did not use them.
Interviews aren't very common but useful for small sample studies. It's great for case research as well as qualitative topics.
Example explanation.
Primary data was gathered via personal interviews with employees to discover their views regarding the issue.
Use interview method only if you actually spoke to respondents.
Secondary data refers to information already stored by an individual. It is used extensively in projects like ignou's mcom.
Sources of secondary information include.
Reports on the financial statements for each year Books Research journals Company websites Government publications
Topics in finance and accounting typically are dependent on secondary data.
Example explanation.
The research is based on secondary data that was gathered from annual reports or textbooks. Journals, journal, also official portals.
Second-hand information is fine for as long as it's properly identified.
Students often think primary data appears better. However, that's not always true.
Make sure to select primary data when.
Your topic has to do with opinions or behaviour
You are able to speak to a variety of respondents
Sample size is easily manageable
Choose secondary data when.
Your subject is finance or accounting based.
Data is accessible in reports
It is time-bound
IGNOU has no intention of penalizing any project on the basis of secondary data. The most important thing is that the analysis is done correctly.
The sampling design explains why respondents or units were chosen.
In the ignou project work using simple sampling methods is sufficient.
Convenience sampling is among the most frequently used method for students.
Example explanation.
Convenience sampling was the method used to select respondents based upon accessibility and availability.
This is true and is has been accepted by IGNOU.
Random sampling is a possibility if respondents were selected randomly.
Example explanation.
Random sampling was employed to select respondents from the population.
This only applies if the choice was truly random.
Sample size should be considered reasonable and easy to manage.
Common sample sizes of IGNOU projects range between 30 to 100 respondents for surveys.
For financial studies, sample size may refer to number of years or the size of companies.
Example explanation.
The sample size consists of 50 participants from the selected group.
Or
The study includes financial information from five consecutive years.
Make sure that this is consistent with your analysis section.
The length of study defines the time period for your research.
For financial subjects, include the financial year in a clear manner.
For survey topics, provide the time of survey data collection.
Example.
The period of study covers three months during which data were gathered and analyzed.
This shows organization and clarity.
Many of the submissions to ignou's MCOM projects fall foul of mistakes that could easily be avoided.
Copying methodology and methods from internet
using terms from the internet that are not understood without understanding
The objectives are not compatible and the methodology
Making claims to primary information without evidence
Avoid these errors to improve the quality of your project.
IGNOU evaluations are looking for.
Klarity
The flow of logic
Contextual relevance the topic
Truthful explanation
They don't require flawless research. They expect sincere effort.
A clear and simple approach usually performs better than a duplicated technical method.
Be sure to read your objectives prior to you write your process. Every objective should be supported by a process.
If the goal is to analyse the performance of financials, you should mention numbers.
If objective is to assess employee satisfaction, mention questionnaire.
This alignment creates a strong impression.
The choice of the best research design and data collection methodology will not be about complexity. It's about a good fit. In a project like ignou mcom Simple choices that are clearly explained will work the best.
Find out the topic you are discussing. Be honest about your data. Write in your own language. That alone can improve both scores and confidence.
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