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Randomized Experiments01:13

Randomized Experiments

6.7K
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.
Simple randomization
Simple...
6.7K
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...
8.9K
Controls in Experiments01:13

Controls in Experiments

6.9K
When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
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Strategies for Assessing and Addressing Confounding01:25

Strategies for Assessing and Addressing Confounding

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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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Blinding01:11

Blinding

2.4K
Blinding is a commonly used method of not telling participants which treatment a subject is receiving. Blinding is a critical part of a randomized control trial or RCT. It reduces the bias that affects the results. In an RCT, blinding is used in the form of a placebo. A placebo effect occurs when untreated subjects falsely believe they have received the treatment and report improved symptoms. A placebo or a dummy treatment is administered to subjects to negate the bias caused by such an effect.
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Experimental Designs01:16

Experimental Designs

11.0K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
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Related Experiment Video

Updated: May 27, 2025

A Within-Subject Experimental Design using an Object Location Task in Rats
09:28

A Within-Subject Experimental Design using an Object Location Task in Rats

Published on: May 6, 2021

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Randomization in single-case design experiments: Addressing threats to internal validity.

Thomas R Kratochwill1, Joel R Levin2

  • 1Department of Educational Psychology, University of Wisconsin-Madison.

School Psychology (Washington, D.C.)
|February 20, 2025
PubMed
Summary
This summary is machine-generated.

Randomization enhances single-case experimental designs (SCEDs) by controlling validity threats often unaddressed by replication alone. This improves research credibility and statistical analysis for SCED intervention studies.

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Area of Science:

  • Psychology
  • Research Methodology
  • Behavioral Science

Background:

  • Single-case experimental designs (SCEDs) are crucial for evaluating interventions.
  • Traditional SCEDs rely heavily on replication to ensure internal validity.
  • Threats to internal validity can persist even with replication in SCEDs.

Purpose of the Study:

  • To review and detail various randomization strategies applicable to SCED methodology.
  • To explicate how specific randomization techniques control threats to internal validity.
  • To demonstrate the utility of randomization in both conventional and nonconventional SCEDs.

Main Methods:

  • Review of existing literature on randomization in experimental designs.
  • Categorization of randomization strategies: phase-order, between-intervention, within-intervention, and start-point randomization.
  • Application of these strategies to various SCED variations (e.g., ABAB, alternating treatment, multiple baseline) and non-replication designs.

Main Results:

  • Randomization offers explicit control over internal validity threats not fully addressed by replication.
  • Specific randomization methods are detailed for diverse SCED structures.
  • Randomization enhances scientific credibility, statistical conclusion validity, and likelihood of inclusion in literature syntheses.

Conclusions:

  • Randomization is a vital tool for strengthening the internal validity of SCEDs.
  • Implementing randomization increases the rigor and statistical power of SCED research.
  • Recommendations are made for establishing randomization standards in SCED methodology.