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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.
Data Collection by Survey01:07

Data Collection by Survey

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...
Types of Surveys01:27

Types of Surveys

Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
Convenience Sampling Method00:55

Convenience Sampling Method

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...
Measures of Central Tendency02:16

Measures of Central Tendency

The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean."
Cluster Sampling Method01:20

Cluster Sampling Method

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: Jun 27, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Optimum survey methods when interviewing employed women.

Kari Dunning1, Grace K LeMasters

  • 1Department of Rehabilitation, University of Cincinnati College of Allied Health, Cincinnati, Ohio. kari.dunning@uc.edu

American Journal of Industrial Medicine
|November 19, 2008
PubMed
Summary
This summary is machine-generated.

This study explored workplace fall reporting among pregnant workers using different survey methods. Internet surveys captured more falls but had more incomplete data, highlighting the need for mixed approaches to reduce bias in occupational health research.

Related Experiment Videos

Last Updated: Jun 27, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

  • Occupational Health
  • Epidemiology
  • Survey Methodology

Background:

  • Understanding bias in survey studies is crucial, particularly for specific groups like women workers.
  • Limited information exists on workplace fall reporting among pregnant employees.

Purpose of the Study:

  • To examine workplace falls during pregnancy.
  • To assess participation, bias, and data completeness across different survey methods (phone, internet, mail).

Main Methods:

  • A population-based survey was conducted using phone, internet, and mail approaches.
  • Examined participation rates by industry and occupation.
  • Assessed survey approach bias, reliability, and data completeness.

Main Results:

  • 71% of 3,997 surveyed women were employed during pregnancy.
  • Internet responders reported more workplace falls (8.8%) but had more missing employment data (17.9%).
  • Mail surveys were most effective for recruiting participants across various industries, especially service occupations.

Conclusions:

  • Mixed survey approaches may be beneficial for reducing bias and increasing participation in occupational health studies.
  • Careful attention is needed for collecting accurate occupational data, especially when using internet-based methods.