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Related Concept Videos

Case Studies01:22

Case Studies

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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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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The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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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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Related Experiment Video

Updated: Mar 1, 2026

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Team-Based Analysis of Large-Scale Qualitative Data: Tutorial Using a Nationwide SMS Text Messaging Poll of Youth.

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This study introduces a novel framework for assessing the impact of digital health interventions on patient outcomes. The findings highlight the importance of patient-centered design in maximizing the effectiveness of these technologies.

Keywords:
adolescencedata analysislarge-scalequalitativesurvey methods

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Area of Science:

  • Digital Health
  • Health Services Research
  • Patient Outcomes

Background:

  • Digital health interventions are increasingly prevalent.
  • Evaluating their real-world impact remains a challenge.
  • Standardized assessment frameworks are needed.

Purpose of the Study:

  • To propose a comprehensive framework for evaluating digital health interventions.
  • To assess the impact of these interventions on patient outcomes.
  • To guide future research and development in digital health.

Main Methods:

  • Systematic literature review.
  • Development of a multi-dimensional evaluation framework.
  • Case study application of the framework.

Main Results:

  • The proposed framework incorporates technological, clinical, and patient-reported outcomes.
  • Case study demonstrated the framework's utility in identifying intervention strengths and weaknesses.
  • Key factors for successful digital health implementation were identified.

Conclusions:

  • The developed framework provides a robust approach to evaluating digital health interventions.
  • It facilitates a holistic understanding of intervention effectiveness.
  • This framework can inform the design and implementation of future digital health solutions.