Implementing the Questionnaire Method in a Field Study on Rural Development

1. Meaning and Suitability

The questionnaire method is a technique of primary data collection in which a set of pre-prepared, structured questions is administered to respondents to obtain information about their socio-economic conditions, needs, problems and opinions. In a field study on rural development — which may examine income levels, employment, agriculture, health, education, drinking water, sanitation, rural roads, electrification, migration and the effectiveness of development programmes — this method is highly suitable because:

• It covers a large number of scattered rural households within a short time and at low cost.
• It produces uniform, comparable and quantifiable data that can be tabulated and analysed statistically.
• It reduces the personal bias of the researcher, since every respondent faces the same questions.
• It maintains the privacy of respondents, who may hesitate to reveal income, debt or health details in face-to-face conversation.
• It can be administered even when respondents are literate only to a limited degree, if the schedule is filled in by the enumerator.

2. Steps in Implementation

Step 1: Defining the objectives of the study

The researcher first clearly states what the study seeks to find out — for example, to assess the impact of a rural road project on employment and income, or to identify the problems of drinking water supply in a village. Every question in the questionnaire must be linked to these objectives.

Step 2: Selection of the study area and respondents

A representative village or a cluster of villages is selected on the basis of criteria such as remoteness, level of development, caste and ethnic composition, and access to infrastructure. From the total households, respondents are chosen by random sampling, stratified sampling (by caste, landholding, gender) or purposive sampling (e.g., beneficiaries of a specific programme). The head of the household, or an adult member who knows the household's affairs, is normally the respondent. A sample of about 10–20 per cent of households is generally adequate for a student field study.

Step 3: Designing the questionnaire

This is the most critical step. The questionnaire should be:

• Brief and simple — long questionnaires cause respondent fatigue and incomplete returns.
• Clear and unambiguous — questions must have one meaning only.
• Relevant — no question should be asked out of curiosity.
• Logical in sequence — from general to specific, from easy to sensitive.
• Free from bias — leading questions such as "Don't you think the road has improved your life?" must be avoided.

Types of questions used:

Structure of the questionnaire:

1. Introductory part — title of the study, purpose, assurance of confidentiality, name of researcher, date and place.
2. Identification/background part — name (optional), age, sex, caste, education, occupation, family size, landholding, type of house.
3. Core part — questions on income and employment, agriculture and livestock, irrigation, drinking water, sanitation, health and education facilities, road, electricity, communication, migration, participation in development programmes, awareness of government schemes, and satisfaction with them.
4. Closing part — suggestions of the respondent and a note of thanks.

Step 4: Pre-testing (pilot survey)

The draft questionnaire is tested on 5–10 households in a similar village. This reveals unclear wording, missing options, irrelevant questions and the time required. Necessary corrections are then made. This step greatly increases the reliability of the final questionnaire.

Step 5: Training and orientation of enumerators

If helpers are used, they must be trained to ask questions in the same manner, in the local language, without suggesting answers, and to record responses accurately. Uniformity in asking is essential for comparability.

Step 6: Actual field administration

The questionnaire is administered by:

• Personal interview (schedule method) — the enumerator reads out the questions and fills in the answers. This is best for rural areas with low literacy.
• Self-administered method — the respondent fills the form himself; suitable only for educated respondents.
• Mail/online method — rarely useful in rural settings due to low literacy and poor connectivity.

Practical points to observe during administration:

• Take prior permission from the ward chairperson or local leader and explain the purpose of the study.
• Visit at a convenient time, avoiding peak agricultural hours.
• Establish rapport, be polite, and use the local dialect.
• Ask questions exactly as worded; do not prompt or argue.
• Cross-check sensitive answers (income, land, debt) with observation or secondary records.
• Record non-response and incomplete answers honestly.

Step 7: Editing, coding and tabulation

Completed questionnaires are checked for omissions, inconsistencies and irrelevant entries. Responses are then coded (e.g., Male = 1, Female = 2) and tabulated in frequency and cross tables — for example, income level by occupation, or toilet ownership by caste.

Step 8: Analysis and interpretation

Simple statistical tools such as percentages, averages, ratios and diagrams (bar charts, pie charts) are used. Findings are interpreted in the light of the objectives, and conclusions and recommendations for rural development are drawn.

Step 9: Report writing

The final report presents the objectives, methodology, findings, conclusions and suggestions, along with the questionnaire as an appendix.

3. Precautions to Be Taken

• Avoid too many personal and sensitive questions; assure anonymity.
• Do not use technical jargon; translate questions into the local language.
• Keep the number of questions within the attention span of the respondent (about 20–30 minutes).
• Avoid double-barrelled questions (e.g., "Is the road good and the bus cheap?").
• Avoid leading, loaded and presuming questions.
• Ensure the sample is representative; do not interview only the accessible or influential households.
• Maintain neutrality; do not influence answers by facial expression or tone.

4. Limitations

• Answers may be inaccurate when they depend on memory (e.g., last year's income).
• Illiterate respondents may not understand certain questions.
• Some respondents may give socially desirable rather than true answers.
• Non-response and incomplete returns reduce reliability.
• The method cannot capture the emotional depth and cultural context that participant observation or case study can.

5. Conclusion

Thus, the questionnaire method can be effectively implemented in a rural development field study by first fixing objectives, selecting a representative sample, drafting a simple and logical questionnaire, pre-testing it, training enumerators, administering it through personal interviews with proper rapport and ethical care, and finally editing, coding, tabulating, analysing and reporting the data. If these steps are followed systematically and the precautions observed, the questionnaire method yields reliable, comparable and policy-useful information on the real conditions and development needs of rural people.

Field Study Report

Title: Impact of Youth Labour Migration in Rural Development: A Study of [Name of VDC/Municipality], [District]

1. Introduction Youth labour migration has become a defining feature of rural Nepal. Every year a large number of young people (aged 16–40) leave their villages for Gulf countries, Malaysia, Korea and other destinations under foreign employment. Remittances now contribute about one-fourth of Nepal's GDP. This field study examines how such migration affects rural development in a selected village.

2. Objectives

• To find out the causes of youth labour migration in the study area.
• To assess its positive and negative impacts on rural development.
• To suggest measures to make migration more productive for the village.

3. Methodology

• Study area: [Village/municipality], [district] — selected purposively as a high-migration area.
• Nature of data: Both primary and secondary.
• Primary data: Collected through household survey (30 households), interviews with returnee migrants and their family members, and a focus group discussion with local leaders and teachers.
• Secondary data: Village profile, ward office records, and reports of the Ministry of Labour, Employment and Social Security.
• Tools: Interview schedule, observation, and simple tabulation.

4. Findings

Positive impacts

• Remittances and income: About 70% of surveyed households receive remittances, which raised their income and reduced absolute poverty.
• Consumption and assets: Increased spending on food, education, health, housing and land purchase; some families have built concrete houses and bought vehicles.
• Human capital: Children of migrant families are more likely to attend private schools and colleges.
• Enterprise and remittance investment: A few returnees have started small businesses (grocery, poultry, transport), creating some local employment.
• Skills and exposure: Returnees bring new skills, work discipline and awareness of rights.

Negative impacts

• Labour shortage: Farmland is left fallow and local construction and agriculture suffer from lack of workers.
• Dependency: Many households depend on remittances for consumption rather than productive investment, creating a "remittance-dependent" economy.
• Social costs: Breakdown of joint families, rise in the burden on women and elderly, school dropout among children of absent parents, and increased alcoholism and gambling in some cases.
• Brain drain: Loss of the most energetic and skilled youth weakens local leadership and institutions.
• Inequality: Remittance income is unevenly distributed, widening the gap between migrant and non-migrant households.
• Vulnerability: Migrants face exploitation, low wages, unsafe work and health risks abroad.

5. Analysis Migration has raised household income but has not automatically translated into sustainable rural development because most remittances are spent on consumption and imports rather than on productive investment. The village gains cash but loses labour, skills and social cohesion. Thus its net impact depends on how remittances are used.

6. Conclusion Youth labour migration is a double-edged sword for rural Nepal. It reduces poverty and finances education and housing, but it also causes labour shortage, dependency and social problems. Rural development will benefit only if remittances are channelled into productive sectors.

7. Recommendations

• Promote skill-based and safe foreign employment through orientation and pre-departure training.
• Encourage remittance investment in agriculture, agro-based industries, tourism and small enterprises.
• Provide soft loans and technical support to returnee migrants.
• Strengthen local schools, health services and infrastructure to create jobs at home.
• Run awareness programmes on the social costs of migration and on the rights of migrant workers.

Data vs Information

1. Meaning: Data are raw, unprocessed facts and figures collected from a source (e.g., marks of students), while information is data that has been processed, organized, and given meaning (e.g., average marks of a class).
2. Usefulness: Data alone is not meaningful for decision-making, whereas information is meaningful and directly useful for analysis and decision-making.

Standard Format of a Research Report

"Impact of Climate Change on Water Resources in the Context of Nepal"

A research report follows a fixed structure so that the study can be read, checked and repeated by others. The standard format, with a brief description of each element, is given below.

1. Title Page (Cover Page)

It contains the title of the study, the name of the researcher, the name of the institution, the degree or course for which the report is submitted, the name of the supervisor, and the place and date of submission. It gives the first identity of the report.

2. Certificate of Approval / Recommendation

A short page signed by the supervisor and, where required, by the head of the department or an external examiner, stating that the report has been accepted. It gives the report official validity.

3. Declaration

A statement by the researcher that the report is his or her own original work and that all sources used have been duly acknowledged. It protects the researcher's honesty and academic integrity.

4. Acknowledgements

A few lines of thanks to the supervisor, teachers, respondents, institutions and others who helped during the study. It recognises the support received.

5. Table of Contents

A list of all chapters, sections, tables and figures with their page numbers. It helps the reader locate any part of the report quickly.

6. List of Tables and Figures (if any)

Separate lists showing the number, title and page of each table, graph, map or diagram used in the report. It improves clarity and reference.

7. Abbreviations and Acronyms

A list of short forms used in the report, such as ICIMOD, DHM, IPCC, GLOF, with their full forms. It saves space and avoids confusion.

8. Abstract / Executive Summary

A brief summary of the whole report — objectives, methods, major findings and conclusions — usually within 150–250 words. It lets a reader understand the whole study without reading every page.

9. Chapter I: Introduction

This chapter introduces the study. It normally includes:

• Background of the Study: General information on climate change and Nepal's water resources (glaciers, rivers, lakes, groundwater, rainfall).
• Statement of the Problem: The specific question, e.g. how rising temperature and changing rainfall are affecting water availability, glacier retreat and GLOF risk in Nepal.
• Objectives of the Study: To examine the impact of climate change on water resources; to identify its effects on people's livelihood; to suggest measures.
• Research Questions: The questions the study tries to answer.
• Significance of the Study: Why the study is useful to policy makers, planners, farmers and researchers.
• Limitations of the Study: Time, budget, data and area constraints.
• Definition of Key Terms: Climate change, water resources, GLOF, adaptation, etc.

10. Chapter II: Literature Review

A review of books, journal articles, government reports and past studies related to climate change and water resources in Nepal. It shows what is already known and where the gap lies, and it provides the theoretical base of the study.

11. Chapter III: Research Methodology

This chapter explains how the study was carried out. It includes:

• Research Design: Descriptive and exploratory design.
• Nature and Sources of Data: Primary data (interview, questionnaire, field observation) and secondary data (DHM records, ICIMOD reports).
• Population and Sample: Study area (e.g. a Himalayan watershed) and sample size with sampling technique.
• Tools and Techniques of Data Collection: Questionnaire, interview schedule, focus group discussion, observation.
• Methods of Data Analysis: Simple statistical tools such as percentage, average, tables and graphs.

12. Chapter IV: Data Presentation and Analysis

The collected data are presented in tables, charts and diagrams and then analysed and interpreted. For this topic, the analysis may cover trends in temperature and rainfall, glacier retreat, discharge of rivers, drying of springs, floods and GLOF events, and the impact on irrigation, drinking water and hydropower.

13. Chapter V: Summary, Conclusion and Recommendations

• Summary: A brief restatement of the objectives, methods and findings.
• Conclusion: The main inferences drawn from the analysis.
• Recommendations: Practical suggestions such as water harvesting, early warning systems, afforestation, controlled hydropower development and community adaptation.

14. References / Bibliography

A list of all books, articles and reports cited in the text, arranged alphabetically and written in a standard style (APA or the style prescribed by the institution). It shows the sources and allows verification.

15. Appendices

Supplementary materials placed at the end — the questionnaire, interview schedule, raw data tables, maps and photographs. They support the main text without disturbing its flow.

Note: The main body (Chapters I–V) is written in continuous prose, while the preliminary pages (title page to abstract) use small Roman numerals and the main body uses Arabic numerals for page numbers.

Primary data is first-hand information collected directly from the field for a specific purpose. The main methods are:

1. Observation — The researcher watches people, activities or conditions directly and records what is seen, such as how villagers use a community water tap. It gives real behaviour but is time-consuming and cannot capture opinions.
2. Interview — The researcher asks questions face to face (or by phone) to individuals or key informants such as ward chairpersons, teachers or cooperative leaders. It allows probing and clarification, but needs skill and time.
3. Questionnaire / survey — A set of written questions is given to a sample of respondents to fill in or answer. It is cheap for large groups and gives comparable data, but needs literate respondents and may have low return.
4. Focus group discussion (FGD) — A small group of 6 to 12 people from similar backgrounds discusses a topic guided by a facilitator, producing shared views and ideas.
5. Case study — An in-depth study of one household, group or village to understand a problem in detail.

A focus group discussion (FGD) is a qualitative method of collecting primary data in which a small group of about 6 to 12 people with similar background or interest (for example, women farmers or youth of a ward) discuss a particular topic under the guidance of a facilitator, while a note-taker records the views.

Main features

• Discussion is open, guided by a checklist of topics rather than a fixed questionnaire.
• Participants react to one another, so ideas, attitudes and reasons come out in depth.
• It usually lasts one to two hours.

Steps: select the topic and participants, prepare the guide questions, arrange a comfortable place, conduct the discussion, record it, and analyse the findings.

Advantages: quick and low cost, gives many views at once, useful for understanding community needs and attitudes in rural planning.

Limitations: a few dominant members may control the talk, shy people may stay silent, and results cannot be generalised to the whole population.

Data: Raw facts.
Information: Processed data.

A Standard Model of a Research Report

Title: Causes and Consequences of Out-Migration of Youth in Rural Areas: A Case Study of Bhimdatta Municipality, Kanchanpur District

(A model research report on a social issue of rural development — prepared in the standard CDC/NEB format)

1. Introduction

Rural development means improving the economic and social well-being of people living in rural areas. In Nepal, rural development faces many social problems such as poverty, unemployment, illiteracy, caste and gender discrimination, and out-migration of youth. Among these, out-migration has become a serious social issue. Every year thousands of young people leave their villages for cities or foreign countries in search of jobs. This weakens the rural economy, increases the number of elderly people and children left behind, and reduces agricultural production. This study examines the causes and consequences of youth out-migration in Bhimdatta Municipality of Kanchanpur District.

2. Statement of the Problem

Out-migration of youth has become a common social problem in rural Nepal. Although it brings some remittance income, it also creates many social problems such as labour shortage in agriculture, increase in abandoned land, weakening of family ties, and rise in the number of elderly people living alone. This study tries to answer the following questions:

• What are the main causes of youth out-migration in the study area?
• What social and economic consequences does out-migration create?
• What measures can be taken to reduce out-migration?

3. Objectives of the Study

1. To identify the causes of youth out-migration in the study area.
2. To examine the social and economic consequences of out-migration.
3. To suggest measures for reducing out-migration.

4. Research Methodology

Both primary data (from questionnaire and interview) and secondary data (from CBS reports, journals, and municipality records) were used.

5. Data Presentation and Analysis

Table: Main causes of youth out-migration (N = 60)

The table shows that unemployment (40%) is the main cause of out-migration, followed by low agricultural income (25%) and the attraction of foreign employment (20%).

Consequences reported: shortage of farm labour (70%), increase in fallow land (55%), rise in elderly population (45%), and weakening of family relationships (35%).

6. Major Findings

1. Unemployment is the leading cause of youth out-migration.
2. Low income from agriculture pushes youth to leave the village.
3. Out-migration causes labour shortage and increases fallow land.
4. Remittance helps families financially but does not create local employment.
5. Family ties and care of the elderly are weakening.

7. Conclusion and Recommendations

Conclusion: Youth out-migration in the study area is mainly caused by unemployment and low agricultural income. It brings remittance but also creates serious social problems.

Recommendations:

1. Create local employment through agriculture, tourism, and small industries.
2. Provide skill-based and vocational training to youth.
3. Develop rural infrastructure and education facilities.
4. Promote commercial farming to make agriculture profitable.
5. Run awareness programmes on the social effects of migration.

8. References

• Central Bureau of Statistics (CBS). National Population and Housing Census. Kathmandu: Government of Nepal.
• Ministry of Labour and Employment. Labour Migration Report. Kathmandu.
• Sharma, R. (2079 BS). Rural Development in Nepal. Kathmandu: Ekta Books.

Note: This is a model report. A real report should be based on actual field data collected from the chosen study area.

Sampling is the process of selecting a small, representative part (sample) from the whole population for study, so that conclusions drawn from the sample can be applied to the entire population. It saves time, cost and effort compared with studying every unit. Examples include random sampling, stratified sampling and purposive sampling.