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