Spring 2027

Eliciting Qualitative Data: Interview Skills and Other Techniques

This course teaches strategies for collecting rich qualitative data from diverse participants through interviews, focus groups, observation, and visual elicitation techniques.

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Summary

What you’ll be able to do

  • Identify the connections between qualitative data collection techniques and qualitative approaches.

  • Compare, contrast, and match qualitative data collection techniques to specific research questions, contexts and populations.

  • Create qualitative data collection tools and materials that can be used with diverse study participants across the lifespan and in a variety of settings

  • Practice and analyze a range of qualitative data collection techniques.

Source: UW Guide

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Prerequisites

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NURSING 808

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Professors

Spring 2027

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Calendar & sections

Spring 2027

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Student experience

the class

Develop strategies to facilitate the collection of rich qualitative data from diverse study participants regarding a range of research questions across different settings. Explore and practice specific data collection techniques, including various types of interviews, focus groups, observation, visual elicitation techniques, and examine multiple modalities for data.

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Topics

  • Qualitative data collection techniques including interviews, focus groups, observation, and visual elicitation.
  • Working with diverse study populations across different settings and research questions.

Skills

  • Conducting interviews, focus groups, observations, and using visual elicitation techniques to collect qualitative data.

Grades

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Sources & history

UW–Madison

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Model outputs & technical records
Qwen/Qwen3.8-27B
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Model & dataset provenance
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "fc0114f31a6899ddb6b5501739ca3a6ef495e29cdf72a3d541ab93371b5009b9",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}