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