A) The process of selecting a sample. B) The analysis of survey data. C) A list of all individuals in the population from which the sample is drawn. D) The physical device used to collect survey responses.
A) Stratified sampling B) Convenience sampling C) Systematic sampling D) Cluster sampling
A) The bias introduced by the survey design. B) When the sample frame is not representative of the population. C) When individuals selected for the sample do not respond to the survey, leading to inaccurate results. D) The bias introduced by the researcher's personal views.
A) Convenience sampling B) Random sampling C) Stratified sampling D) Purposive sampling
A) A sample chosen haphazardly. B) A sample that accurately reflects the demographics and characteristics of the larger population. C) A sample composed of individuals who share similar opinions. D) A sample with a small number of respondents.
A) Telephone surveys B) Online surveys C) Mail surveys D) In-person interviews
A) Selecting individuals with unusual characteristics. B) Drawing individuals from specific subgroups in the population. C) Each individual in the population has an equal chance of being selected for the sample. D) Selecting individuals based on their availability and accessibility.
A) Cluster sampling B) Convenience sampling C) Stratified sampling D) Systematic sampling
A) Simple random sampling B) Cluster sampling C) Convenience sampling D) Stratified sampling
A) To increase the sample size for more accurate results. B) To randomly select respondents for the survey. C) To conduct the survey without any prior planning. D) To identify and correct any issues with the survey instrument before full implementation.
A) Increases response rates. B) Provides personalized feedback to respondents. C) Encourages honest and unbiased responses. D) Reduces the need for sampling. |