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Randomized Experiments

Randomized Experiments

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
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Group Design

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Experimental Designs

Experimental Designs

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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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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Different randomized multiple-baseline models for different situations: A practical guide for single-case

Joel R Levin¹, John M Ferron²

¹University of Arizona, USA.

Journal of School Psychology

|May 30, 2021

Summary

This study explores randomized multiple-baseline designs for intervention evaluations. Incorporating randomization enhances internal validity and scientific credibility in single-case research.

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Area of Science:

Psychology
Research Methodology

Background:

Multiple-baseline designs are commonly used in single-case research for intervention evaluations.
There is a growing emphasis on enhancing the internal validity and scientific credibility of these designs.

Purpose of the Study:

To explore various randomized multiple-baseline designs.
To discuss associated statistical tests, their strengths, and limitations.
To provide a practical guide for school psychology researchers.

Main Methods:

Review of randomized multiple-baseline designs.
Discussion of relevant statistical tests for randomization.
Analysis of strengths and limitations of different approaches.

Main Results:

Randomization in multiple-baseline designs can improve internal validity.
Various randomization strategies and statistical tests are available.
Understanding the strengths and limitations is crucial for effective implementation.

Conclusions:

Randomized multiple-baseline designs offer a valuable approach for intervention studies.
School psychology researchers can benefit from employing these versatile randomization procedures.
Careful planning and execution are essential for maximizing the utility of these designs.