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Related Concept Videos

Types of Surveys01:27

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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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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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Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
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Qualitative analysis is the process of identifying elements, ions, or compounds in an unknown sample. It is the first and most fundamental type of analysis based on the hierarchy of analytical goals. This hierarchy is significant as it provides a structured approach to scientific research, with qualitative analysis serving as the initial step, providing essential information before moving on to quantitative or other forms of analysis.
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Using machine learning and qualitative interviews to design a five-question survey module for women's agency.

Seema Jayachandran1, Monica Biradavolu2, Jan Cooper3

  • 1Princeton University, United States.

World Development
|January 4, 2023
PubMed
Summary

Researchers developed a novel method using machine learning and qualitative interviews to create short, effective survey measures for complex concepts like women's agency. This approach ensures survey questions accurately reflect in-depth interview data.

Keywords:
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Area of Science:

  • Social Sciences
  • Quantitative Research Methods
  • Machine Learning Applications

Background:

  • Measuring complex concepts in large-scale surveys is challenging with limited questions.
  • Qualitative interviews provide rich data but are not feasible for broad surveys.
  • Developing concise, reliable survey instruments is crucial for social science research.

Purpose of the Study:

  • To propose and validate a new method for designing short survey measures using mixed-methods data and machine learning.
  • To create a robust, brief survey module for measuring women's agency.
  • To demonstrate the efficacy of machine learning in selecting predictive survey questions.

Main Methods:

  • Combined qualitative (semi-structured interviews) and quantitative (close-ended questions) data collection.
  • Used qualitative coding to establish a benchmark measure of women's agency.
  • Applied machine learning algorithms (LASSO, random forest variants) to identify the most predictive survey questions.

Main Results:

  • Developed a five-question index for women's agency that strongly correlates with the benchmark qualitative measure.
  • The short index performed comparably to an index using all candidate questions.
  • Demonstrated the predictive power of selected close-ended questions for a complex latent construct.

Conclusions:

  • The proposed mixed-methods and machine learning approach effectively designs short survey measures for complex concepts.
  • This method offers a scalable solution for creating reliable survey instruments in social science.
  • The validated women's agency index provides a valuable tool for researchers.