Sampling in Social Science Research Quiz

What is sampling in the context of social science research?

• The process of selecting a subset of a population for observation and analysis

• A method for collecting data from all members of a population

• The technique of analyzing data from a single individual as representative of a whole population

• A statistical tool used exclusively for experimental research

Answer explanation

Sampling in social science research refers to the process of selecting a subset of a population for observation and analysis.

Why can't researchers study entire populations directly in most cases?

• It is not allowed by research ethics

• Due to feasibility and cost constraints

• Because it is too time-consuming

• Populations are generally not interested in participating in studies

Answer explanation

Researchers can't study entire populations directly in most cases due to feasibility and cost constraints, making it impractical to include every individual in the study.

What is the primary reason for divergent and erroneous inferences in opinion polls?

• Failure to publish results

• Lack of interest from the population

• Improper and biased sampling

• Inaccurate data analysis methods

Answer explanation

Improper and biased sampling leads to divergent and erroneous inferences in opinion polls by skewing the representation of the population.

What is the first stage in the sampling process?

• Defining the target population

• Choosing a sampling frame

• Analyzing the collected data

• Selecting a sample from the sampling frame

Answer explanation

The first stage in the sampling process is defining the target population, which sets the foundation for the rest of the sampling process.

What is a sampling frame?

• A statistical model used to predict population parameters

• A frame used to display sampling results

• An accessible section of the target population from where a sample can be drawn

• The final sample selected for observation

Answer explanation

A sampling frame is an accessible section of the target population from where a sample can be drawn, making it the correct choice.

Which sampling technique gives every unit in the population a non-zero chance of being selected?

• Expert sampling

• Probability sampling

• Quota sampling

• Convenience sampling

Answer explanation

Probability sampling gives every unit in the population a non-zero chance of being selected, ensuring a fair representation of the population.

What is the main advantage of simple random sampling?

• It is the most cost-effective sampling technique

• It requires less time than other sampling techniques

• It allows for the selection of specific subgroups within a population

• Sample statistics are unbiased estimates of population parameters

Answer explanation

The main advantage of simple random sampling is that sample statistics are unbiased estimates of population parameters.

What is stratified sampling?

• Sampling at regular intervals through an ordered list

• Dividing the sampling frame into homogeneous subgroups and drawing a sample from each

• Selecting samples based on expert opinions

• Dividing the population into clusters and sampling each cluster

Answer explanation

Stratified sampling involves dividing the sampling frame into homogeneous subgroups and drawing a sample from each, ensuring representation from all groups.

What is a key characteristic of non-probability sampling?

• Every unit has a known and equal chance of being selected

• It allows for the estimation of sampling errors

• Some units of the population have zero chance of selection

• It is the only method that can be used for large populations

Answer explanation

Non-probability sampling allows for some units of the population to have zero chance of selection, making it a key characteristic.

What does a sampling distribution represent?

• A graphical representation of sample means

• A frequency distribution of a response from a single sample

• A frequency distribution of a sample statistic from a set of samples

• The variability of population parameters

Answer explanation

A sampling distribution represents a frequency distribution of a sample statistic from a set of samples, not just a single sample or population parameters.