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Related Concept Videos

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.
Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Longitudinal Studies01:26

Longitudinal Studies

Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
Traits and States01:17

Traits and States

Personality traits represent consistent patterns in behavior, thoughts, and emotions, reflecting an individual's tendencies across various situations. For example, extraversion, a well-known trait, manifests in individuals as talkative, energetic, and enthusiastic behaviors. These traits are stable over time, offering a reliable framework for predicting how people might act in different contexts. However, they do not define every moment of an individual's life. In contrast to traits, states are...
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.

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On-Site Molecular Detection of Soil-Borne Phytopathogens Using a Portable Real-Time PCR System
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Persona Development in Washington State: Mixed Methods Approach Using Statewide Survey Data.

Jordan M Garcia1, Rebecca A Hills2, Debra Revere3

  • 1School of Social Work, University of Washington, Seattle, WA, United States.

Online Journal of Public Health Informatics
|March 31, 2026
PubMed
Summary
This summary is machine-generated.

This study developed 13 data-driven personas for public health informatics using a mixed-methods approach. These personas represent diverse user needs, enhancing human-centered design for public health information systems.

Keywords:
cluster analysisinformation system designpersonaspublic health informaticsqualitative datauser-centered design

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Area of Science:

  • Public Health Informatics
  • Human-Centered Design
  • User Experience Research

Background:

  • Personas are crucial for human-centered design but underutilized in public health informatics.
  • Public health organizations create information systems but often lack user-centered approaches.

Purpose of the Study:

  • To present a novel, mixed-methods approach for developing data-driven personas.
  • To leverage statewide surveys for creating realistic and actionable personas for public health information system design.
  • To support user-centered design by reflecting the diversity of a state population.

Main Methods:

  • Applied quantitative (cluster analysis) and qualitative (thematic review, quote extraction) methods.
  • Utilized two statewide surveys from Washington State (N=1103 and N=143).
  • Examined demographics, technological readiness, policy opinions, and online health tool usage.

Main Results:

  • K-prototype clustering identified 5 distinct population clusters.
  • Developed 13 personas representing diverse demographics, technological readiness, and attitudes.
  • Each persona includes a profile and illustrative quotes.

Conclusions:

  • A scalable framework for persona development in public health informatics was established.
  • Mixed methods transformed existing datasets into effective design tools for user-centered design.
  • Created personas enhance the design, development, and evaluation of public health information systems by focusing on user experience.