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How to Select Research Design and Data Collection Methods for IGNOU MC…

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작성자 Genia Kahl
댓글 댓글 0건   조회Hit 193회   작성일Date 26-01-22 19:51

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Choosing the right research design and data collection methodology is one of the most difficult tasks for students working on their IGNOU project. A lot of students write their ignou MCOM project without being able to clearly define what research they actually are conducting. This is why it appears as if the methodology is weak, copied, or unrelated to the subject.

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The article focuses solely on the steps to select an appropriate research design and data collection technique when working on IGNOU MCom projects. It explains concepts in simple way and connects them to practical examples so that students can quickly apply them.



Why Research Design Matters in IGNOU Projects



Research design is an outline for your study. It defines the direction of your research project. If the research concept isn't correct, everything else that comes after data collection, analysis and conclusion is questioned.



IGNOU does not expect complex and highly technical research concepts. What they require is alignment. The design should match your goals, objectives, topic, as well as information availability.



Many students are penalized not just because their writing isn't up to scratch, but because their design isn't in line with the goal that they've expressed in their work.



Understanding Research Design in Simple Terms



Research design specifies the type of study you're undertaking. It provides answers to three key questions.



What is being researched
the reason it is being studied
What is being researched



In the ignou mcom project work, research design usually falls between the following groups.



Descriptive Research Design



The Descriptive Research Design is among the most frequently utilized design used in IGNOU MCom projects. It is utilized in cases where the purpose is to be able to describe a circumstance, condition, or perform.



This design is suitable for subjects like.



Employee satisfaction
Customers' perception
Assessment of financial performance
Working capital management
The impact of training on employees



In descriptive research researchers are not able to alter variables. The focus is on taking note of and describing current facts.



Example explanation.



The study is based on a descriptive research design to examine the current financial position of the selected company using relevant information.



This design is secure to use, well-accepted, and easy to justify in an MCOM project.



Analytical Research Design



Analytical research design is employed in research that goes beyond description to try to determine the relationships between performance trends or patterns.



This design can be used when the project you are working on includes.



Ratio analysis
Trend analysis
Study of comparison between companies
Financial year-to-year evaluation



Many finance related ignou mcom project subjects employ an analytical approach in addition to descriptive design.



Example explanation.



The study adopts an analytical design of research to evaluate the financial performance of the business with the help of ratios and trend analysis.



This shows depth but isn't complex.



Exploratory Research Design



Exploratory research designs are used when the topic is in its initial stages or not well defined. It is less common within IGNOU MCom projects but may apply to areas like.



Emerging business practices
Digital payment adoption
New accounting standards awareness



Example explanation.



The study follows an exploratory research plan for understanding the public's awareness of current accounting practices.



Use this style only when your subject area is really exploring something that is not familiar to you.



Choosing the Right Research Design for Your Topic



To select the right design Ask yourself these questions.



Am I describing an existing situation
Am I looking at developments or performance
Am I trying to understand some new ideas



If the answer is a description or description, use descriptive design.
If it includes numbers or comparison or analysis, consider adding analytical design.
If it involves a deeper understanding of new ideas explore design.



For the vast majority of ignou mcom project submissions with descriptive and analytical designs will suffice.



Understanding Data Collection Methods



If you've chosen a research methodology the next step is deciding on the manner in which data will be collected. The method you choose for data collection must complement the research strategy.



IGNOU permits primary as well as secondary data. It is the honesty and transparency.



Primary Data Collection Method



Primary data is data collected directly by the researcher for the first time.



Common primary data tools comprise.



Questionnaire
Interview
Observation



Primary data are useful to use when your project involves beliefs as well as perceptions and behavior.



Examples of subjects suitable in primary research.



Employee satisfaction
Customer service quality
Investor perception
Training effectiveness



Designing a Questionnaire for IGNOU Project



Many students utilize questionnaires but do not design them properly. IGNOU does not evaluate the questionnaire, however it must appear relevant and logical.



Guidelines for questionnaire design.



Keep questions simple
Beware of technological language
Use short-ended questions
Link questions with goals



Example description for methodology section.



Primary data was gathered using a structured questionnaire consisting of specific questions that are designed to be close to the purpose and goals of this study.



Do not make claims for advanced survey methods if the method you used did not employ them.



Interview Method in IGNOU Projects



The interview method is less well-known but can be helpful for small-sample studies. It's great for cases studies as well as qualitative subjects.



Example explanation.



The primary data was gathered through personal interviews with employees to find out their thoughts on the subject.



Only use interview methods if participants actually engaged with you.



Secondary Data Collection Method



Secondary data refers to data already obtained by someone else. It is extensively used in ignou mcom project work.



The sources of secondary data are.



Monthly reports and financial statements 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 and textbooks, journals, including official site websites.



Secondary information is acceptable provided it is properly cited.



Choosing Between Primary and Secondary Data



People often believe that primary information will look better. It's not always so.



Pick the primary data.



Your topic may involve opinions or the way of life.
You are able to speak to the people who are responding
Sample size is reasonable



Use secondary data only when.



Your topic is financial or accounting based
Information is available in reports
It is time-bound



IGNOU will not punish projects on the basis of secondary data. What is important is proper analysis.



Sampling Design in IGNOU Projects



A sampling method explains how the participants or units were picked.



In the work of ignou mcom easy sampling techniques are sufficient.



Convenience Sampling



Convenience sampling is among the most commonly used method by students.



Example explanation.



A convenience sampling approach was implemented in order to pick respondents based upon accessibility and availability.



This is true and is accepted by IGNOU.



Random Sampling



Random sampling is a possibility in cases where respondents were picked randomly.



Example explanation.



The random sampling method was used to select the respondents from the general population.



Make sure to use this only in the event that the selection was really random.



Sample Size Selection



The sample size must be reasonable and easy to manage.



Common sample sizes in IGNOU projects range from 30 to 100 participants for surveys.



When it comes to financial analysis, the size of the sample could refer to the number of years or businesses.



Example explanation.



The sample size is 50 respondents from the selected organisation.



Or



The study covers financial data from five consecutive years.



Keep this consistent with your analysis section.



Period of Study and Its Importance



The time period of study is the time period for your research.



For financial topics, mention your financial year clearly.
For survey topics, provide the time of research.



Example.



The study spans three months in which data was collected and analyzed.



This shows organization and clarity.



Common Mistakes Students Make



Many ignou project submissions suffer due to avoidable mistakes.



Copying methodology and methods from internet
using terms and concepts that are advanced without knowing
Missing the point between objectives and the methodology
Claiming primary data without supporting evidence



Avoid these pitfalls to improve your project quality.



How Evaluators Read Your Methodology



IGNOU Evaluations seek.



Acuity
Clarity
Relevance to the topic
Affirmative explanation



They do not expect perfect research. They are looking for genuine effort.



Simple and well explained method is often more effective than a copycat technical approach.



Practical Tip for Better Marks



Be sure to read your objectives prior to creating your methodology. Every goal must be backed by a procedure.



If objective is to analyze the financial performance of a company, make reference to those ratios.
If objective is to assess employee satisfaction, refer to questionnaire.



This alignment leaves a strong impression.

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Final Thoughts



Selecting the right research design and data collection technique will not be about complexity. It's about the appropriateness. In a project like ignou mcom simple and clear choices perform best.



Be aware of your topic. Be sincere about your data. Write in your own words. This alone can boost your scores and confidence.

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