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Related Concept Videos

Surveys02:16

Surveys

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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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Strategies for Assessing and Addressing Confounding01:25

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Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
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Sampling Plans01:23

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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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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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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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.
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A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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Important considerations when analyzing health survey data collected using a complex sample design.

Joseph W Sakshaug1, Brady T West

  • 1Joseph W. Sakshaug is with the Department of Statistical Methods, German Institute for Employment Research, Nuremberg, and the Ludwig Maximilian University of Munich, Munich, Germany. Brady T. West is with the Survey Research Center and the Center for Statistical Consultation and Research, University of Michigan, Ann Arbor.

American Journal of Public Health
|November 16, 2013
PubMed
Summary
This summary is machine-generated.

Public health research relies on complex sample survey data. Proper analysis requires accounting for intricate sample designs to ensure accurate statistical estimates for policy questions.

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Area of Science:

  • Public Health Research
  • Biostatistics
  • Survey Methodology

Background:

  • Survey data is crucial for informing public health policy.
  • Key public health surveys include NHANES, NHIS, MEPS, and NAMCS.
  • These surveys utilize complex sample designs for participant recruitment.

Purpose of the Study:

  • To highlight the importance of accounting for complex sample designs in secondary data analysis.
  • To ensure the production of valid statistical estimates from public health surveys.

Main Methods:

  • Secondary analysis of complex sample survey data.
  • Review of methodological considerations for survey data interpretation.

Main Results:

  • Failure to account for complex sample designs can lead to invalid statistical estimates.
  • Understanding survey design features is essential for accurate analysis.

Conclusions:

  • Valid statistical estimates from complex sample surveys necessitate careful consideration of their design features.
  • Researchers must be aware of and apply appropriate methods when analyzing public health survey data.