Anonymous
Nov 24, 2023
Explain the meaning of the following terms as used in surveys 1. Homogeneous population? 2. Sampling frame? 3. Stratification? 4. Response rate.? 5. Exogenous variables? ?
1 view
1 view
1 answer
Sort By
ChatGPT
Nov 24, 2023
1. Homogeneous population: In the context of surveys, a homogeneous population refers to a group of individuals or units that share similar characteristics or attributes. These characteristics can include demographics, behaviors, attitudes, or any other relevant variables. A homogeneous population is important in surveys as it allows for more accurate and reliable data analysis and generalization of findings.
2. Sampling frame: A sampling frame is a list or a source from which a sample is drawn for a survey. It is a representation of the target population and includes all the individuals or units that have a chance of being selected for the survey. The sampling frame serves as a reference for selecting a representative sample and ensuring that the survey results can be generalized to the larger population.
3. Stratification: Stratification is a technique used in survey sampling to divide the target population into distinct subgroups or strata based on certain characteristics. These characteristics can be demographic (e.g., age, gender, income) or any other relevant variables. Stratification helps ensure that each subgroup is adequately represented in the sample, allowing for more accurate analysis and interpretation of survey results.
4. Response rate: Response rate refers to the percentage of individuals or units who participate in a survey out of the total number of individuals or units who were selected or contacted. It is a measure of the survey's success in obtaining responses from the target population. A higher response rate is generally desired as it increases the representativeness and reliability of the survey results.
5. Exogenous variables: In surveys, exogenous variables refer to independent variables that are external to the research model or system being studied. These variables are not influenced by other variables within the model and are considered to have a causal effect on the dependent variable. Exogenous variables are often used to explain or predict changes in the dependent variable and are important in understanding the relationships and dynamics within a survey research context.
2. Sampling frame: A sampling frame is a list or a source from which a sample is drawn for a survey. It is a representation of the target population and includes all the individuals or units that have a chance of being selected for the survey. The sampling frame serves as a reference for selecting a representative sample and ensuring that the survey results can be generalized to the larger population.
3. Stratification: Stratification is a technique used in survey sampling to divide the target population into distinct subgroups or strata based on certain characteristics. These characteristics can be demographic (e.g., age, gender, income) or any other relevant variables. Stratification helps ensure that each subgroup is adequately represented in the sample, allowing for more accurate analysis and interpretation of survey results.
4. Response rate: Response rate refers to the percentage of individuals or units who participate in a survey out of the total number of individuals or units who were selected or contacted. It is a measure of the survey's success in obtaining responses from the target population. A higher response rate is generally desired as it increases the representativeness and reliability of the survey results.
5. Exogenous variables: In surveys, exogenous variables refer to independent variables that are external to the research model or system being studied. These variables are not influenced by other variables within the model and are considered to have a causal effect on the dependent variable. Exogenous variables are often used to explain or predict changes in the dependent variable and are important in understanding the relationships and dynamics within a survey research context.
0
