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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...

Modeling in Therapy

Modeling in Therapy

Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...

Steps in the Modeling Process

Steps in the Modeling Process

Albert Bandura's theory of observational learning identifies four critical processes: attention, retention, motor reproduction, and reinforcement or motivation.
Attention is the first necessary component for observational learning. It involves focusing on what the model is doing and saying. For example, if you decide to take a drawing class to enhance your skills, you need to pay close attention to the instructor's words and hand movements. The characteristics of the model significantly...

Modeling and Similitude

Modeling and Similitude

Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...

Observational Learning

Observational Learning

Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...

Data Collection by Experiments

Data Collection by Experiments

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...

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Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

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Modelling Like an Experimentalist.

John M Drake^1,2

¹Odum School of Ecology, University of Georgia, Athens, Georgia, USA.

Ecology Letters

|November 6, 2025

Summary

This summary is machine-generated.

Ecological and evolutionary modelling can be improved by viewing it as experimentation. This approach enhances research design, communication, and credibility by treating model parameters and data as experimental treatments.

Keywords:

experimental design modelling pedagogy

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Area of Science:

Ecological modelling
Evolutionary biology
Scientific methodology

Background:

Modelling is a standard tool in ecological and evolutionary research.
Current modelling practices often lack a robust conceptual framework.

Purpose of the Study:

To propose a new conceptual framework for scientific modelling.
To frame ecological and evolutionary modelling as a form of experimentation.

Main Methods:

Conceptual analysis of modelling practices.
Analogy drawn between empirical experimentation and computational modelling.
Identification of treatments, levels, and responses in modelling.

Main Results:

Modelling can be structured like empirical experimentation.
Parameter regimes and data manipulations act as experimental treatments.
Replicated model runs and comparative analyses reveal effects and interactions.

Conclusions:

Viewing modelling as experimentation sharpens research design.
This framework enhances clarity in communication and reduces scope creep.
Adopting an experimentalist mindset fosters rigor, reliability, and credibility in modelling research.