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Models, Theories, and Laws

Models, Theories, and Laws

Scientists frequently use models to help them comprehend a specific collection of phenomena. In physics, a model is a condensed version of a physical system that is too complex to study thoroughly. One such example is the light wave model; unlike water waves, light waves are typically invisible to us. Nonetheless, it is helpful to think of light as being composed of waves, since investigations show that light behaves like water waves. Since it is impossible to visually see what is genuinely...

Scientific Laws and Theories

Scientific Laws and Theories

Scientific Laws

The Scientific Method

The Scientific Method

The scientific method is a detailed, empirical problem-solving process used by biologists and other scientists. This iterative approach involves formulating a question based on observation, developing a testable potential explanation for the observation (called a hypothesis), making and testing predictions based on the hypothesis, and using the findings to create new hypotheses and predictions.Generally, predictions are tested using carefully-designed experiments. Based on the outcome of these...

The Scientific Method

The Scientific Method

Research is what makes the difference between facts and opinions. Facts are observable realities, and opinions are personal judgments, conclusions, or attitudes that may or may not be accurate. In the scientific community, facts can be established only using evidence collected through empirical research.

The Scientific Method

The Scientific Method

Chemistry is an empirical science. Scientists often pose questions to understand the chemistry in everyday life and seek answers to these questions. To achieve this, scientists follow a definitive series of steps that together make up the Scientific Method. This approach involves making observations, asking questions, building a hypothesis, conducting experiments, analyzing results, and forming a conclusion.

Hypothesis: Accept or Fail to Reject?

Hypothesis: Accept or Fail to Reject?

The outcome of any hypothesis testing leads to rejecting or not rejecting the null hypothesis. This decision is taken based on the analysis of the data, an appropriate test statistic, an appropriate confidence level, the critical values, and P-values. However, when the evidence suggests that the null hypothesis cannot be rejected, is it right to say, 'Accept' the null hypothesis?
There are two ways to indicate that the null hypothesis is not rejected. 'Accept' the null hypothesis and 'fail to...

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Related Experiment Video

Updated: Jul 17, 2026

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

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

Published on: January 31, 2014

Can a Good Theory Be Built Using Bad Ingredients?

Sarahanne M Field¹, Leonhard Volz², Artem Kaznatcheev³

¹University of Groningen, Groningen, Netherlands.

Computational Brain & Behavior

|July 16, 2026

Summary

Replication failures impact scientific theories differently based on their purpose. Understanding if a theory aims to explain, predict, or unify is key to assessing the importance of replicability in cognitive and social sciences.

Keywords:

Metascience Replication Reproducibility Theory

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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

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Last Updated: Jul 17, 2026

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

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Construction of Models for Nondestructive Prediction of Ingredient Contents in Blueberries by Near-infrared Spectroscopy Based on HPLC Measurements

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Published on: June 28, 2016

Area of Science:

Cognitive Science
Behavioral Science
Social Science

Background:

The replication crisis poses a significant threat to theory development across cognitive, behavioral, and social sciences.
Existing debates on replication often lack a nuanced perspective, failing to consider the varied roles of scientific theories.

Purpose of the Study:

To analyze how the purpose of a scientific theory (explanation, prediction, unification) influences the impact of replication failures.
To propose a framework for assessing the value of replicability based on a theory's primary objective.

Main Methods:

Conceptual analysis of three core desiderata of scientific theories: explanation, prediction, and unification.
Examination of how replicability's importance varies depending on which desideratum a theory primarily serves.

Main Results:

For explanatory theories, replicability of foundational findings is essential for accuracy.
For predictive theories, replicability is crucial only to the extent it ensures prediction reliability.
For unifying theories, replicability of individual findings plays a less critical role.

Conclusions:

A nuanced, purpose-dependent perspective is required to evaluate replicability and the need for replication studies.
Clarifying a theory's purpose and background commitments can help resolve debates on replication and advance theory development.