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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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Bar Graph01:07

Bar Graph

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A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
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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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Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs01:20

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Body:Bioequivalence experimental study designs are crucial methodologies used in evaluating and comparing the bioavailability of different drug products. These designs are categorized into various types: completely randomized, randomized block, repeated measures, cross and carry-over, and Latin square designs.Completely randomized designs involve randomly allocating treatments to all subjects participating in the experiment. This allocation is achieved by assigning unique random numbers to...
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Multiple Bar Graph01:07

Multiple Bar Graph

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As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
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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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Generating Acute and Chronic Experimental Models of Motor Tic Expression in Rats
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Methodological standards in single-case experimental design: Raising the bar.

Jennifer B Ganz1, Kevin M Ayres2

  • 1Texas A&M University, 4225 TAMU, College Station, TX 77843-4225, USA.

Research in Developmental Disabilities
|April 16, 2018
PubMed
Summary
This summary is machine-generated.

Single-case experimental designs (SCEDs) improve outcomes for people with disabilities. This review synthesizes recommendations to enhance the methodological quality of SCED research for evidence-based practices.

Keywords:
Developmental disabilityGuidelinesMethodological quality standardsSingle-case experimental designSingle-subject research

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Area of Science:

  • Developmental Disabilities Research
  • Disability Studies
  • Evidence-Based Practices

Background:

  • Single-case experimental designs (SCEDs) are crucial for evaluating interventions for individuals with disabilities, especially rare conditions.
  • The increasing acceptance of SCEDs has led to greater scrutiny of their methodological rigor.
  • A growing body of literature addresses the need for improved quality in SCED research.

Purpose of the Study:

  • To review the historical development of methodological quality standards in SCED research.
  • To synthesize existing recommendations for enhancing SCED methodological quality.
  • To provide actionable guidance for researchers designing SCED studies.

Main Methods:

  • Literature synthesis of recent trends and expert recommendations in SCED methodology.
  • Analysis of critiques and proposed standards for SCED research quality.
  • Identification of essential and aspirational standards for SCED design.

Main Results:

  • SCED research is increasingly accepted but faces methodological quality critiques.
  • Numerous expert scholars and institutions have proposed recommendations for improving SCED quality.
  • Key areas for improvement include experimental rigor and consideration of applied research contexts.

Conclusions:

  • Researchers are urged to elevate the methodological quality of their SCED experiments.
  • Particular attention should be paid to the applied nature of SCED research.
  • Adherence to enhanced methodological standards will strengthen the evidence base for interventions in developmental disabilities.