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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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Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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Crossover Experiments

Crossover Experiments

Crossover experiments, also called the repeated-measurements design, is a study design in which all experimental units are exposed to all treatments in different periods. Crossover experiments are generally used in psychology, the pharmaceutical industry, agriculture, and medicine.
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What is an Experiment?

What is an Experiment?

An experiment is a planned activity carried out under controlled conditions. The purpose of an experiment is to investigate the relationship between two variables. When one variable causes change in another, we call the first variable the explanatory or independent variable. The affected variable is called the response or dependent variable. In a randomized experiment, the researcher manipulates values of the explanatory variable and measures the resulting changes in the response variable. The...

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Related Experiment Video

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A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

Published on: April 19, 2019

Single-case experimental designs to evaluate novel technology-based health interventions.

Jesse Dallery¹, Rachel N Cassidy, Bethany R Raiff

¹Department of Psychology, University of Florida, Gainesville, FL, USA. dallery@ufl.edu

Journal of Medical Internet Research

|February 13, 2013

Summary

Single-case experiments (n-of-1 studies) effectively assess health technology interventions. Advances in methods ensure reliable, replicable, and generalizable treatment outcomes for technology-based health promotion.

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Area of Science:

Health Technology
Behavioral Science
Research Methodology

Background:

Technology-based health interventions are rapidly evolving.
Assessing preliminary efficacy of these interventions presents unique challenges.
Single-case experiments (n-of-1 studies) offer a robust solution for evaluating novel health technologies.

Purpose of the Study:

To introduce single-case experimental techniques for health technology assessment.
To highlight advancements in developing and evaluating single-case experiments.
To discuss establishing reliability, replicability, and generalizability of findings.

Main Methods:

Review of single-case experimental designs and analytical techniques.
Discussion of quality control standards and visual analysis heuristics for time-series data.
Exploration of effect size calculations, statistical analyses, and designs for isolating treatment components.

Main Results:

Single-case experiments provide reliable and replicable data for technology-based interventions.
Advances enable assessment of treatment mechanisms and isolation of active intervention elements.
Methodological improvements enhance the validity and generalizability of findings.

Conclusions:

Single-case experiments are crucial for evaluating technology-based health interventions.
Replication and analysis of behavioral mechanisms are key to establishing generalizability.
Further development and application of these methods will advance health technology research.