explanatory power

简明释义

解释功效

英英释义

例句

1.The model's explanatory power is crucial for understanding the underlying trends in the data.

模型的解释力对于理解数据中的基本趋势至关重要。

2.Researchers often evaluate the explanatory power of their theories against empirical evidence.

研究人员通常根据实证证据评估他们理论的解释力。

3.In this study, we found that the new variable significantly increased the explanatory power of our analysis.

在这项研究中，我们发现新变量显著提高了我们分析的解释力。

4.A good statistical model should have high explanatory power to be considered valid.

一个好的统计模型应该具有高解释力才能被认为有效。

5.The explanatory power of the theory was tested through various experiments.

该理论的解释力通过各种实验进行了测试。

作文

In the realm of scientific inquiry, the concept of explanatory power plays a crucial role in evaluating theories and models. It refers to the ability of a theory to account for and clarify phenomena within its scope. A theory with high explanatory power can provide insights into why certain events occur, making it easier for researchers and practitioners to understand complex systems. For instance, in the field of psychology, theories that explain human behavior must not only describe observable actions but also delve into underlying motivations and cognitive processes. Theories such as Maslow's hierarchy of needs or Bandura's social learning theory possess significant explanatory power because they offer comprehensive frameworks that can be applied across various contexts, thereby enhancing our understanding of human behavior.Furthermore, the explanatory power of a theory can significantly influence its acceptance within the scientific community. When a theory demonstrates the ability to make accurate predictions and explain a wide range of phenomena, it garners more support from researchers and practitioners alike. For example, Darwin's theory of evolution by natural selection is widely accepted not only because it explains the diversity of life on Earth but also because it provides a coherent framework for understanding biological processes. Its high explanatory power allows scientists to make predictions about evolutionary patterns, thereby reinforcing its validity.On the other hand, theories with low explanatory power may struggle to gain traction, even if they are based on sound empirical evidence. If a theory cannot adequately explain the phenomena it purports to address, it risks being dismissed by the scientific community. This highlights the importance of developing theories that are both empirically valid and possess strong explanatory power. Researchers must strive to create models that not only fit the data but also provide meaningful interpretations of the results.Moreover, the explanatory power of a theory can evolve over time as new data becomes available. As researchers continue to explore and investigate various phenomena, they may uncover new evidence that either strengthens or weakens the explanatory frameworks currently in use. This dynamic nature of scientific theories underscores the necessity for ongoing research and revision. A theory that was once deemed adequate may require modification to improve its explanatory power in light of new findings.In conclusion, the concept of explanatory power is fundamental to the evaluation and acceptance of scientific theories. A theory's ability to explain and predict phenomena directly impacts its credibility and utility in both research and practical applications. As we continue to advance our understanding of the world around us, prioritizing the development of theories with robust explanatory power will be essential for fostering scientific progress and innovation. By focusing on creating comprehensive frameworks that elucidate complex systems, we can enhance our collective knowledge and drive further discoveries in various fields of study.

在科学研究的领域中，解释力这一概念在评估理论和模型方面起着至关重要的作用。它指的是一个理论能够解释和澄清其范围内现象的能力。具有高解释力的理论能够提供有关某些事件发生原因的见解，使研究人员和从业者更容易理解复杂系统。例如，在心理学领域，解释人类行为的理论不仅必须描述可观察的行为，还必须深入探讨潜在的动机和认知过程。马斯洛的需求层次理论或班杜拉的社会学习理论等理论拥有显著的解释力，因为它们提供了可以应用于各种背景的全面框架，从而增强了我们对人类行为的理解。此外，理论的解释力可以显著影响其在科学界的接受程度。当一个理论展示出准确预测和解释广泛现象的能力时，它会获得来自研究人员和从业者的更多支持。例如，达尔文的自然选择进化论之所以被广泛接受，不仅是因为它解释了地球上生命的多样性，还因为它提供了一个连贯的框架来理解生物过程。其高解释力使科学家能够对进化模式进行预测，从而增强了其有效性。另一方面，具有低解释力的理论可能难以获得支持，即使它们基于可靠的实证证据。如果一个理论无法充分解释其所声称要解决的现象，它就面临被科学界驳回的风险。这凸显了发展既具有实证有效性又具备强大解释力的理论的重要性。研究人员必须努力创建不仅符合数据且能提供结果有意义解释的模型。此外，随着新数据的出现，理论的解释力可能随时间而演变。随着研究人员继续探索和调查各种现象，他们可能会发现新的证据，从而加强或削弱当前使用的解释框架。这种科学理论的动态特性强调了持续研究和修订的必要性。曾经被认为足够的理论可能需要修改，以提高其在新发现面前的解释力。总之，解释力的概念对于科学理论的评估和接受至关重要。一个理论解释和预测现象的能力直接影响其在研究和实际应用中的可信度和效用。随着我们继续推进对周围世界的理解，优先发展具有强大解释力的理论将对促进科学进步和创新至关重要。通过专注于创建阐明复杂系统的全面框架，我们可以增强集体知识并推动各个研究领域的进一步发现。