Sample survey is the process of collecting, compiling, evaluating and publishing demographic, social and economic data about the sample population at a specified time.
In statistics, survey sampling describes the process of selecting a sample of elements from a target population in order to conduct a survey. A survey may refer to many different types or techniques of observation, but in the context of survey sampling it most often involves a questionnaire used to measure the characteristics and/or attitudes of people. Different ways of contacting members of a sample once they have been selected is the subject of survey data collection. The purpose of sampling is to reduce the cost and/or the amount of work that it would take to survey the entire target population. A survey that measures the entire target population is called a census
Objective and Scope:
The objectives of sample survey are as follows;
1. to predict the demographic variables
2, to fill the gap between two census
3. Takes less time and less economy
4. to get knowledge about birth, death, migration, family planning and employment
5.Represents the whole population
The scope of sample survey are as follows;
1. Birth, Death, marriage and its determining factors
2. The status and nature of birth and death
3. Health condition of child and mother
4. knowledge about HIV/AIDS and sexually transmitted diseases
5. Status of women
6. Status of employment and quality of life
7. socio-economic status of population
Types of demographic sample survey
1. Longitudinal Survey:
Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers.
2. Cross Sectional Survey
Cross-sectional survey form a class of research methods that involve observation of all of a population, or a representative subset, at one specific point in time. They differ from case-control studies in that they aim to provide data on the entire population under study, whereas case-control studies typically include only individuals with a specific characteristic, with a sample, often a tiny minority, of the rest of the population.
In statistics, survey sampling describes the process of selecting a sample of elements from a target population in order to conduct a survey. A survey may refer to many different types or techniques of observation, but in the context of survey sampling it most often involves a questionnaire used to measure the characteristics and/or attitudes of people. Different ways of contacting members of a sample once they have been selected is the subject of survey data collection. The purpose of sampling is to reduce the cost and/or the amount of work that it would take to survey the entire target population. A survey that measures the entire target population is called a census
Objective and Scope:
The objectives of sample survey are as follows;
1. to predict the demographic variables
2, to fill the gap between two census
3. Takes less time and less economy
4. to get knowledge about birth, death, migration, family planning and employment
5.Represents the whole population
The scope of sample survey are as follows;
1. Birth, Death, marriage and its determining factors
2. The status and nature of birth and death
3. Health condition of child and mother
4. knowledge about HIV/AIDS and sexually transmitted diseases
5. Status of women
6. Status of employment and quality of life
7. socio-economic status of population
Types of demographic sample survey
1. Longitudinal Survey:
Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers.
2. Cross Sectional Survey
Cross-sectional survey form a class of research methods that involve observation of all of a population, or a representative subset, at one specific point in time. They differ from case-control studies in that they aim to provide data on the entire population under study, whereas case-control studies typically include only individuals with a specific characteristic, with a sample, often a tiny minority, of the rest of the population.
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