How to Make IGNOU PGDRD Project Work?

IGNOU PGDRD ka project kaise banaye?

Hello friends…

First of all, you need to select a good topic for your project work. You need to discuss with your college faculty on project work. Then you have to make a project proposal for the project work. After that you have to make the project report.

Project proposal may have following topics.

·         Title

·         Introduction

·         Objectives

·         Hypothesis

·         Resarch Questions

·         Information on Universe

·         Sample size

·         Data analysis methods

·         Chapterization

·         Questions for data collection.

If you are facing problems, contact on given numbers.

IGNOU PGDRD Research Topics

There are plenty of Research Topics available for the IGNOU PGDRD course. You can select any good topic based on the government schemes, aaganbari, ICDS, child labour, rural people problems, rural economy, self help groups and many more.

Keep the sample size around 30-50. It is an ideal sample size for IGNOU PGDRD Research. You can use face to face interview methods for the data collection.

IGNOU PGDRD Research Paper

IF you are facing the problem in preparing the IGNOU PGDRD Research Paper, contact with me for the clarification.

I will help you about how to prepare the research work.

IGNOU PGDRD Research Synopsis Topics

There are many topics are available for doing the research work. Education and health are my favorites and also interesting. Here I am providing list of some important niche where we can do research work.

ICDS

MGNREGA

Mid Day Meal

Aaaganbari

How to Make IGNOU PGDRD Synopsis RDD-5 Research and Project WorK

If you are searching for How to Make IGNOU PGDRD Synopsis, here are the tips.

First of all, find a good topic. Be sure that topic is interesting and fresh. Do not copy old titles. Fresh titles will give you more interest.

Here is the list of headings you have to cover in the RDD-5 PGDRD Synopsis.

·         Introduction

·         Review of literature

·         Research design

·         Sample size

·         Tools of data collection

·         Chapters.