Testable Falsifiable
Testable Falsifiable - Related Videos
03:50
The Scientific Method
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2020
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. Observation and Question The first step in the scientific method is observing a...
07:23
Scientific Method - Concepts
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2019
The scientific method is used to solve problems and explain phenomena. The development of the scientific method coincided with changes in philosophy underpinning scientific discovery, radically transforming the views of society about nature. During the European Renaissance, individuals such as Francis Bacon, Galileo, and Isaac Newton formalized the concept of the scientific method and put it into practice. Although the scientific method has been revised since its early conceptions, much of the...
03:57
Scientific Method - Student Protocol
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2019
Observation and Background Research ExpandNOTE: The first two steps in the scientific process involve studying and observing natural phenomena of interest. Observe the leaves and branches of the individual plant species. Each species comes from a different environment. Compare each branch to one another and record your observations about any qualitative similarities or differences. Click Here to download Table A Use leaf clippers to cut the leaves from the branches. Make additional qualitative...
07:50
A Fabrication Method for Highly Stretchable Conductors with Silver Nanowires
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2016
A simple synthesis method is used to chemically solder silver nanowire thin film to fabricate highly stretchable and conductive metal conductors.
06:42
From Theory to Design: The Role of Creativity in Designing Experiments
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2023
Source: Laboratories of Gary Lewandowski, Dave Strohmetz, and Natalie Ciarocco—Monmouth University Research studies come into being when a researcher speculates about human thought, emotions, or behavior, and has a theory that offers a potential explanation. Often the researcher’s theory is firmly situated in everyday common experiences that may not naturally lend themselves to direct empirical study. For example, researchers speculated that perception of a person on Facebook is influenced by...
FAQs
A prediction must connect a proposed explanation with a measurable chemical outcome under stated conditions. For example, a hypothesis may specify a reaction rate, a spectroscopic signal, or the amount of product expected. Defining the measurement and conditions converts a broad idea into an experimental target that observations can meaningfully support or challenge.
Controlled conditions help link an observed result to the claim being examined rather than to uncontrolled changes in the experiment. In chemistry, specifying conditions for a reaction, measurement, or product determination makes comparisons between prediction and observation more informative. This strengthens the reasoning used to decide whether a model remains consistent with evidence.
When repeatable measurements conflict with a prediction, the disagreement identifies a limitation in the current explanation or in how the hypothesis was formulated. Scientists can then revise the model, refine its conditions, or develop a different explanation. Treating conflict as useful evidence prevents chemical theories from being protected by statements that cannot be evaluated.
A testable chemical claim specifies observations that would count as relevant evidence, while a non-evaluable explanation offers no possible measurement that could challenge it. The distinction matters because explanatory models in analytical, physical, and organic chemistry must connect to observable outcomes. Without that connection, an idea cannot guide a meaningful comparison between prediction and experiment.
Researchers first state the expected chemical outcome, define the conditions and measurement, and perform a controlled experiment. They then collect repeatable observations, such as reaction rates, spectroscopic signals, or product amounts, and compare those results with the prediction. The comparison determines whether the hypothesis remains supported by the evidence or requires revision.
Repeatability shows that an observed result is not being treated as an isolated observation when assessing a prediction. Repeated measurements under the defined experimental conditions provide a stronger basis for comparing evidence with the proposed outcome. This is especially important when evaluating reaction behavior, spectroscopic evidence, or product formation across chemical investigations.
The framework applies wherever chemical reasoning connects an explanatory model with measurable evidence. Analytical chemistry can examine spectroscopic signals, physical chemistry can evaluate reaction rates, and organic chemistry can compare the amount of product formed with a prediction. Across these areas, the approach supports controlled experimentation, reliable interpretation, and revision of explanations when results disagree.