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Related Concept Videos

Data Collection by Survey01:07

Data Collection by Survey

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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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Convenience Sampling Method00:55

Convenience Sampling Method

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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.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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Data Collection I01:30

Data Collection I

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Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
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Systematic Sampling Method01:17

Systematic Sampling Method

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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.
Systematic sampling is one of the simplest methods...
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Sample Proportion and Population Proportion01:20

Sample Proportion and Population Proportion

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Collecting samples or responses from an entire population takes significant time and effort, so a researcher collects responses from only a sample of that population. Suppose a study needs to collect information about a specific mobile application. After sample collection, the researcher analyzes the data and discovers that most individuals in the sample use that specific mobile application. The sample proportion measures the number of individuals in a sample who either use or don't use the...
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Cluster Sampling Method01:20

Cluster Sampling Method

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Appropriate sampling methods ensure 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.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Related Experiment Video

Updated: Mar 20, 2026

An Application for Pairing with Wearable Devices to Monitor Personal Health Status
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Survalytics: An Open-Source Cloud-Integrated Experience Sampling, Survey, and Analytics and Metadata Collection

Vikas O'Reilly-Shah1, Sean Mackey

  • 1Assistant Professor of Anesthesiology, Emory University and Children's Healthcare of Atlanta, Atlanta, GA, United States. voreill@emory.edu.

JMIR Mhealth and Uhealth
|June 5, 2016
PubMed
Summary
This summary is machine-generated.

Survalytics is an open-source software module for Android apps, enabling data collection for surveys and ecological momentary assessment (EMA). It helps researchers gather user data and real-time insights from participants in their natural environments.

Keywords:
Amazon Web ServicesAndroidDynamoDBNoSQLanalyticsecological momentary assessmentexperiential samplingmicrosurveysmobile surveysquantified selfsurveys

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Area of Science:

  • * Mobile Health (mHealth)
  • * Human-Computer Interaction (HCI)
  • * Data Science

Background:

  • * Mobile app developers require user analytics for optimal app development.
  • * Researchers need tools for ecological momentary assessment (EMA), also known as experience sampling, to collect frequent data from subjects in their natural environments.

Purpose of the Study:

  • * To introduce Survalytics, an open-source software module for collecting survey responses and app analytics metadata from Android users.
  • * To provide a flexible and extensible data collection solution for both academic and commercial applications.

Main Methods:

  • * Survalytics supports one-time and ongoing survey questions.
  • * It can be deployed as a standalone app for EMA or integrated into existing applications.
  • * Utilizes Amazon Web Services DynamoDB for secure, HIPAA-compliant data storage, offering a flexible NoSQL cloud database solution.

Main Results:

  • * An example app demonstrates Survalytics' utility for basic EMA projects.
  • * Example questions are provided for daily data collection, such as blood glucose monitoring.

Conclusions:

  • * Survalytics facilitates the rapid development of customized Android applications for diverse data collection needs.
  • * The module supports researchers across various fields in gathering valuable user and study data efficiently.