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Related Concept Videos

Systematic Error: Methodological and Sampling Errors01:15

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
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Systematic Sampling Method

Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
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Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
Another key consideration is determining the appropriate number of samples required to...
Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...

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Computer-Assisted Mobile Phone Interviews in Low- and Middle-Income Countries Through a Total Survey Error Framework.

Abigail R Greenleaf1, Huguette Diakabana2, Charles Lau3

  • 1Technical Specialist, ICAP at Columbia University, Mailman School of Public Health, Columbia University, New York, NY, US; and Assistant Professor, Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, US.

Public Opinion Quarterly
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Summary
This summary is machine-generated.

Computer-assisted telephone interviewing (CATI) using mobile phones in low- and middle-income countries (LMIC) is growing. This synthesis reviews methodological research, highlighting key findings on representation and measurement errors in CATI surveys.

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Area of Science:

  • Survey Methodology
  • Public Health Research
  • International Development

Background:

  • Computer-assisted telephone interviewing (CATI) via mobile phones is increasingly adopted in low- and middle-income countries (LMIC).
  • Existing methodological literature on CATI in LMIC is fragmented across disciplines and research designs.
  • A comprehensive understanding of representation and measurement error in these surveys is needed.

Purpose of the Study:

  • To synthesize peer-reviewed methodological research on CATI mobile phone surveys in LMIC.
  • To identify examined study designs, topic areas, and total survey error components.
  • To summarize findings on representation and measurement errors in LMIC CATI surveys.

Main Methods:

  • Scoping review methodology employed.
  • Identified and reviewed 38 peer-reviewed journal articles.
  • Focused on research examining CATI mobile phone surveys in LMIC.

Main Results:

  • Cataloged study designs, topic areas, and total survey error components investigated.
  • Synthesized evidence regarding representation errors in LMIC CATI mobile phone surveys.
  • Summarized findings on measurement errors in LMIC CATI mobile phone surveys.

Conclusions:

  • Provides a consolidated overview of methodological research on CATI in LMIC.
  • Highlights the conditions under which CATI surveys can be effectively implemented in LMIC.
  • Informs best practices for conducting mobile phone CATI surveys in diverse LMIC contexts.