Podcast
Questions and Answers
What is a common cause of respondent measurement errors?
What is a common cause of respondent measurement errors?
- Technical issues with data-processing systems
- Inconsistent interviewing techniques
- Difficulty in interpreting survey questions
- Respondent memory lapses or information distortion (correct)
Which dimension is NOT considered by survey designers when addressing measurement errors?
Which dimension is NOT considered by survey designers when addressing measurement errors?
- Developing procedures to reduce error size
- Defining the error and examining its sources
- Measuring the size of the error
- Estimating the financial cost of errors (correct)
What type of errors occurs in every survey that survey designers attempt to compensate for?
What type of errors occurs in every survey that survey designers attempt to compensate for?
- Response errors
- Non-sampling errors (correct)
- Systematic errors
- Sampling errors
Why is measuring the size of respondent measurement errors particularly challenging?
Why is measuring the size of respondent measurement errors particularly challenging?
What do Chapters VIII and IX primarily focus on?
What do Chapters VIII and IX primarily focus on?
What is referred to as sampling variance in the context of sampling errors?
What is referred to as sampling variance in the context of sampling errors?
Which of the following is an example of bias in sampling?
Which of the following is an example of bias in sampling?
What primarily causes non-observation errors in household surveys?
What primarily causes non-observation errors in household surveys?
Which of the following is NOT a cause of non-response in surveys?
Which of the following is NOT a cause of non-response in surveys?
What happens when non-coverage errors occur in probability sampling?
What happens when non-coverage errors occur in probability sampling?
Which type of error can include both fixed and variable characteristics?
Which type of error can include both fixed and variable characteristics?
In the context of household surveys, systematic errors are typically associated with which of the following?
In the context of household surveys, systematic errors are typically associated with which of the following?
Which source of error is related to individuals not being available during the survey period?
Which source of error is related to individuals not being available during the survey period?
Study Notes
Introduction
- Non-sampling errors in household surveys can be variable or fixed. Variable errors are similar to sampling errors and change across samples. Fixed errors, or bias, are consistent across samples.
- Non-coverage occurs when individuals or groups in the population have no chance of being selected for the sample.
- Non-response occurs when data cannot be collected from individuals selected for the sample. This can be due to refusal, language barriers, health limitations, or absence during the survey period.
- Measurement errors originate from various sources like respondents, interviewers, supervisors, and data processing systems. Respondents may forget information or provide inaccurate answers, especially about sensitive topics.
- Survey designers consider four dimensions in relation to errors: defining the error, measuring the error size, developing procedures to reduce the error, and compensating for the error in final results.
Non-Observation and Measurement Errors
- Chapters VIII and IX analyze non-observation and measurement errors conceptually, illustrating different types of errors.
- Chapters X and XI provide a deeper examination of these errors, exploring the impact on survey quality and presenting a case study from Brazil.
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Description
This quiz focuses on the various types of non-sampling errors in household surveys, such as variable and fixed errors, non-coverage, and non-response. It also explores the causes of measurement errors and strategies for reducing these errors to improve survey accuracy. Test your knowledge on how these errors impact data collection and analysis.
