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2. Collection of Data

The chapter elaborates on the collection of data, highlighting the significance of data collection methods, distinguishing between primary and secondary data, and the techniques of sampling. It delves into the different modes of data collection, including surveys, and emphasizes the role of census and sample surveys in accumulating statistical data for various analyses in economics.

Sections

Collection of Data

This section covers the sources and modes of data collection, distinguishing between primary and secondary data.

2 Section Overview

Start current section content and materials

2.1 INTRODUCTION

This section introduces the concept of data collection in economics, emphasizing its significance and the distinctions between primary and secondary data sources.

2.2 WHAT ARE THE SOURCES OF DATA?

This section discusses the various sources of statistical data, focusing on primary and secondary data, and introduces methods of data collection like surveys.

2.3 HOW DO WE COLLECT THE DATA?

This section discusses the various sources of statistical data, focusing on primary and secondary data, and introduces methods of data collection like surveys.

2.4 Mode of Data Collection

This section discusses the importance of data collection in economics, differentiating between primary and secondary data sources and various methodologies for data collection.

2.5 Pilot Survey

This section introduces the concept of survey methodology, explaining the importance and techniques of pilot surveys in data collection.

2.6 CENSUS AND SAMPLE SURVEYS

This section covers the differences between Census and Sample Surveys, the process of data collection, and key concepts related to primary data and secondary data.

2.6.1 Census or Complete Enumeration

This section explains the concept of Census, differentiating it from Sample Surveys and describing the methods and significance of data collection.

2.6.2 Population and Sample

The section explores the concepts of population and sample in data collection, differentiating between complete enumeration and representative samples.

2.6.3 Random Sampling

Random sampling is a method where individual units are selected at random from a population, ensuring every member has an equal chance of being chosen.

2.6.4 Non-Random Sampling

This section provides an overview of non-random sampling, including its definition, methods, and when to use it effectively.

2.7 SAMPLING AND NON-SAMPLING ERRORS

This section covers the types and sources of data collection as well as the errors associated with sampling.

2.7.1 Sampling Errors

This section explains the significance of sampling errors in statistical data collection, detailing types of errors and their implications.

2.7.2 Non-Sampling Errors

This section explores non-sampling errors in data collection, their significance, and how they differ from sampling errors.

2.8 CENSUS OF INDIA AND NSSO

This section highlights the roles of the Census of India and the National Sample Survey Organisation (NSSO) in collecting and processing statistical data crucial for economic and social analysis.

2.9 Conclusion

The conclusion emphasizes the importance of data collection and its role in understanding various economic and social issues.

2.10 EXERCISES

This section engages students with exercises that deepen Their understanding of data collection techniques.

Learning Objectives

  • Data is vital for providing insights and forming sound conclusions.

  • Understanding primary and secondary data is crucial for effective data collection.

  • Surveys can be conducted through different methods such as personal interviews, mailing questionnaires, and telephone interviews.

Key Concepts

Primary Data

Information collected firsthand by the researcher for the specific purpose of the study.

Secondary Data

Data that has been collected and processed by someone else and is used by a researcher for analysis.

Census

A comprehensive collection of data on all individuals or units in a population, typically conducted every ten years.

Sample

A subset of the population selected for analysis, which should represent the larger group.

Sampling Error

The error that arises when a sample estimate deviates from the actual population parameter.

NonSampling Errors

Errors that occur not related to the sampling process, often arising from data collection methods or data recording.

Practice Exercises

Total Questions

5

Estimated Time

10 min

Passing Score

70%

Instructions

  • Read each question carefully
  • You can use hints if you need help
  • Complete all questions before submitting