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Related Concept Videos

Cross-Sectional Research01:50

Cross-Sectional Research

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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...
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Group Design02:01

Group Design

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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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Longitudinal Research02:20

Longitudinal Research

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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...
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Naturalistic Observations02:30

Naturalistic Observations

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If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
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Observational Studies01:11

Observational Studies

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Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
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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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Related Experiment Video

Updated: Oct 5, 2025

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques
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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

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Building on a Sequential Mixed-Mode Research Design in the Monitoring the Future Study.

Megan E Patrick, Mick P Couper, Bohyun Joy Jang

    Journal of Survey Statistics and Methodology
    |January 27, 2022
    PubMed
    Summary
    This summary is machine-generated.

    Enhanced web push surveys significantly increased response rates for the Monitoring the Future (MTF) study. This improved method maintained data quality comparable to traditional mail surveys.

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    Area of Science:

    • Survey methodology and research design
    • Public health surveillance and data collection

    Background:

    • The Monitoring the Future (MTF) study, a longitudinal survey of US 12th-grade students, traditionally uses mailed surveys.
    • Previous research indicated web push plus email surveys offer a cost-effective, high-quality data alternative.
    • This study aimed to enhance the web push survey design for improved data collection efficiency.

    Purpose of the Study:

    • To evaluate an enhanced web push survey design for the MTF study.
    • To compare response rates and data distribution across different survey modes and access methods.
    • To assess the effectiveness of additional strategies like SMS, QR codes, and mobile optimization.

    Main Methods:

    • A control group received traditional mailed surveys (N=1,222).
    • Two sequential mixed-mode conditions were tested: mail push (N=1,198) and enhanced web push (N=1,173).
    • The enhanced web push condition included web surveys with SMS, QR codes, and mobile optimization, with a mailed option as a fallback.

    Main Results:

    • Response rates were significantly higher in the enhanced web push condition (42.05%) compared to mail push (35.4%) and the MTF control group (34.2%).
    • The enhanced web push strategies effectively increased respondent engagement.
    • Key data estimates from the enhanced web push group were consistent with the control group, indicating maintained data quality.

    Conclusions:

    • The enhanced web push survey design is effective in improving response rates for longitudinal studies like MTF.
    • Incorporating SMS, QR codes, and mobile optimization enhances survey participation.
    • This improved methodology provides a viable, high-response alternative to traditional mailed surveys without compromising data integrity.