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Related Concept Videos

Experimental Designs01:16

Experimental Designs

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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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Study Designs in Epidemiology01:20

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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.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
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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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Study Design in Statistics01:15

Study Design in Statistics

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A study design is a set of techniques that allow a researcher to collect and analyze data from different variables defined for a specific research problem. Statistics is commonly for effective study design and more robust experiments,
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Crossover Experiments01:16

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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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Factorial Design02:01

Factorial Design

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Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
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Updated: Jun 9, 2025

A Cross-Disciplinary and Multi-Modal Experimental Design for Studying Near-Real-Time Authentic Examination Experiences
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An Introduction to Types of Quasi-Experimental Designs.

Bernadette Capili1, Joyce K Anastasi

  • 1Bernadette Capili is director of the Heilbrunn Family Center for Research Nursing at Rockefeller University, New York City, and Joyce K. Anastasi is the Independence Foundation Professor of Nursing and founding director of Special Studies in Symptom Management at New York University. This manuscript was supported in part by grant No. UL1TR001866 from the National Institutes of Health's National Center for Advancing Translational Sciences Clinical and Translational Science Awards Program. Contact author and column coordinator: Bernadette Capili, bcapili@rockefeller.edu . The authors have disclosed no potential conflicts of interest, financial or otherwise.

The American Journal of Nursing
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PubMed
Summary
This summary is machine-generated.

This article series equips nurses with essential clinical research principles for evidence-based practice. Learn about research design, data interpretation, and core concepts vital for nursing research.

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Area of Science:

  • Nursing
  • Clinical Research
  • Evidence-Based Practice

Background:

  • This is the 24th article in a series focused on clinical research for nurses.
  • The series aims to serve as a comprehensive resource for understanding research principles.

Purpose of the Study:

  • To provide nurses with foundational knowledge in clinical research.
  • To explain concepts essential for evidence-based practice in nursing.

Main Methods:

  • The series covers a range of research topics.
  • Each column focuses on specific concepts from research design to data interpretation.

Main Results:

  • Nurses will gain a better understanding of research methodologies.
  • The series facilitates the application of research findings in clinical settings.

Conclusions:

  • This series is a valuable tool for nurses seeking to enhance their research literacy.
  • Understanding research principles is crucial for advancing evidence-based nursing care.