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Experimental Designs01:16

Experimental Designs

18.5K
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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Case Studies01:22

Case Studies

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There are many research methods available to psychologists in their efforts to understand, describe, and explain behavior and the cognitive and biological processes that underlie it.
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Cochran's Q Test01:17

Cochran's Q Test

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Cochran's Q Test is a nonparametric statistical test used to determine if there are potential differences in the outcomes of three or more related groups on a binary (yes/no) or dichotomous outcome. It is essentially an extension of the McNemar Test, which is limited to two related samples - Cochran's Q test can handle three or more related samples, making it more versatile in scenarios where subjects are measured under multiple conditions. The test statistic follows a Chi-Square...
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Data Collection by Experiments01:13

Data Collection by Experiments

28.0K
Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public...
28.0K
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs01:15

Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs

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Bioequivalence experimental study designs play a pivotal role in testing the effectiveness of various treatments. Key among these are the repeated measures, cross-over, carry-over, and Latin square designs. In the repeated measures design, each subject receives all treatments, allowing for temporal comparisons. This type of design is useful in reducing variability but requires careful planning to avoid bias.The cross-over design, an economical method, involves sequential administration of...
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Group Design02:01

Group Design

11.0K
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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Related Experiment Video

Updated: Mar 20, 2026

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

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The single case experimental design: a quantitative method for everyday use.

R Newell1

  • 1Institute of Nursing Studies, University of Hull.

Nursing Standard (Royal College of Nursing (Great Britain) : 1987)
|May 31, 2016
PubMed
Summary
This summary is machine-generated.

Single case experimental (SCE) research focuses on individual experiences and their measurable outcomes. This methodology allows for in-depth analysis of unique participant journeys.

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Area of Science:

  • Psychology
  • Behavioral Science
  • Clinical Research

Background:

  • Single case experimental (SCE) research is a vital methodology.
  • It emphasizes understanding individual experiences within research settings.

Purpose of the Study:

  • To define the core characteristics of Single Case Experimental (SCE) research.
  • To highlight the translation of individual experiences into measurable data.

Main Methods:

  • Focus on the individual participant's experience.
  • Employing methods to quantify and measure subjective experiences.

Main Results:

  • SCE research prioritizes deep, individual-level data.
  • It translates qualitative experiences into quantitative metrics.

Conclusions:

  • The essence of SCE research lies in its person-centered, measurable approach.
  • This methodology offers unique insights into individual phenomena.