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Related Concept Videos

Randomized Experiments01:13

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The randomization process involves assigning study participants randomly to experimental or control groups based on their probability of being equally assigned. Randomization is meant to eliminate selection bias and balance known and unknown confounding factors so that the control group is similar to the treatment group as much as possible. A computer program and a random number generator can be used to assign participants to groups in a way that minimizes bias.
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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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Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
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Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which...
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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

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Tuning Degradation to Achieve Specific and Efficient Protein Depletion
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Protocol optimization and reducing dropout in online research.

Halee Staggs1,2,3, Colleen Mills-Finnerty1,2

  • 1Mental Illness Research Education and Clinical Center, VA Palo Alto Health Care System, Palo Alto, CA, United States.

Frontiers in Human Neuroscience
|December 20, 2023
PubMed
Summary

Optimizing online research protocols significantly improved social media engagement and task completion. Nicotine and cannabis use were linked to dropout, but cognitive data quality remained consistent, suggesting targeted support may reduce attrition in remote studies.

Keywords:
attritioncannabisclassification modeldecision treediversitynicotineonline researchresearch methods

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Area of Science:

  • Digital Health
  • Behavioral Science
  • Human-Computer Interaction

Background:

  • Online research offers cost-efficiency, scalability, and increased diversity compared to in-person studies.
  • Challenges in online research include participant attrition, lack of environmental control, technical issues, and limited rapport.
  • Human factors are critical throughout the teleresearch process, from recruitment to data collection.

Purpose of the Study:

  • To assess the impact of protocol optimizations on social media engagement and participant retention in online research.
  • To identify factors contributing to participant dropout in online studies using a decision tree model.
  • To evaluate the feasibility and data quality of remote research methodologies.

Main Methods:

  • Recruited participants (Veterans and civilians) via Facebook advertisements for an online study.
  • Compared a pilot sample (n=26) with a post-optimization sample (n=220) to measure changes in engagement and retention.
  • Utilized a C5.0 decision tree model to classify participant dropout based on demographic and behavioral data.

Main Results:

  • Protocol optimizations led to a statistically significant increase in advertisement click-through rates (23.8%) and behavioral task completion (31.2%).
  • Nicotine use (100%) and cannabis use (25.6%) were identified as key predictors of participant dropout.
  • Cognitive performance data quality was comparable between substance users and non-users among study completers.

Conclusions:

  • Optimized online research protocols can substantially enhance participant engagement and task completion.
  • Participant substance use (nicotine, cannabis) may indicate a need for tailored support within online protocols to mitigate dropout.
  • Remote research is a feasible approach, but strategies addressing human factors and individual differences are essential for maximizing data quality and retention.